Mean 0.944 · 30/40 perfect tests · $2.34 total · each card: the question → the correct answer (gold) → this model's actual answer
DEFINITIONS **Substantive why_buys**: 15+ characters, not placeholder (tbd, n/a, see notes, etc.). LONG(n) values count as substantive (truncated for display). **DS2+ compliance**: Deal at DS2 or later must have substantive why_buys. **Missing DS1 timestamp**: Deal with blank t_ds1 field. **Regression**: Stage entry timestamps out of order (earlier stage timestamp > later stage timestamp). RESULTS **Why_buys non-compliance** Overall: 97 non-compliant / 120 DS2+ deals = 80.83% By owner: - Bryce Harmon (119337721): 15/18 = 83.33% - Alex Franklin (84342457): 46/59 = 77.97% - Dana Mercer (83155923): 17/21 = 80.95% - Cole Ingram (83155924): 18/21 = 85.71% - Farid Osman (716654662): 1/1 = 100% **Missing DS1 timestamps**: 0 deals **Regressions**: 0 deals PROCESS FIXES 1. **Enforce why_buys at DS2 entry** – Add CRM validation gate: block stage progression to DS2 until why_buys field contains 15+ substantive characters. Prevents empty entries from compounding through later stages. 2. **Weekly ownership audit with 2-day SLA** – Auto-report DS2+ deals with blank/placeholder why_buys by owner. Assign to reps; require fill-in or demote deal to DS1. Track SLA breaches; link to rep scorecard and compensation review. 3. **Monthly t_ds1 completeness audit** – Check all deals for null t_ds1. Investigate root causes (CRM import gaps, bypass procedures, data corruption). Enforce t_ds1 capture at deal creation, not retrofit. Log findings by source channel (DIRECT_TRAFFIC, PAID_SEARCH, etc.) to surface systematic gaps.
RESOLVED DEALS: 156 UNMATCHED OWNER IDS: 0 (All owner_ids in deals exist in the owners table.) ARCHIVED/DEACTIVATED OWNERS IN DEALS: None (No deals assigned to archived owner_ids 1520255671 or 77260721.) PIPELINE BY RESOLVED OWNER: Bryce Harmon (119337721): 35 deals = $1,054,144 - Detail: 24000 + 19656 + 13500 + 7000 + 2520 + 240000 + 99000 + 72000 + 70000 + 63600 + 45000 + 1 + 21000 + 23400 + 13680 + 5502 + 8160 + 1 + 11400 + 1 + 36000 + 31500 + 6000 + 10800 + 30275 + 17400 + 12600 + 18000 + 37440 + 18828 + 2880 + 36000 + 20880 + 10920 + 25200 Alex Franklin (84342457): 67 deals = $624,390 - Detail: 14850 + 13770 + 11200 + 9000 + 6360 + 5400 + 3240 + 2484 + 1920 + 1080 + 7200 + 19000 + 2880 + 1400 + 4800 + 1632 + 10000 + 9300 + 2700 + 2160 + 1800 + 3600 + 3840 + 15000 + 1968 + 4000 + 3600 + 4800 + 3120 + 2520 + 9000 + 2400 + 62000 + 5400 + 5100 + 16700 + 4400 + 1620 + 2600 + 7200 + 18000 + 17000 + 8316 + 8100 + 18000 + 12600 + 24000 + 15000 + 9000 + 7200 + 3780 + 16200 + 7200 + 4680 + 1800 + 18000 + 2730 + 2400 + 3060 + 18000 + 12000 + 1800 + 4400 + 31200 + 7200 + 1600 + 60000 Dana Mercer (83155923): 24 deals = $341,195 - Detail: 11250 + 10500 + 9000 + 9000 + 5400 + 4800 + 4600 + 1920 + 15000 + 4200 + 18900 + 27000 + 43875 + 20000 + 60000 + 8100 + 16250 + 3150 + 5000 + 2100 + 23400 + 5400 + 7350 + 25000 Cole Ingram (83155924): 22 deals = $288,261.43 - Detail: 2760 + 1330 + 7225.40 + 3360 + 5616 + 2700 + 7781.20 + 6947.50 + 40000 + 12168 + 2480.40 + 11116 + 11193 + 1875 + 31750 + 32175 + 4779.88 + 3334.80 + 58529.25 + 4140 + 18000 + 18900 Farid Osman (716654662): 7 deals = $4,134 - Detail: 1249 + 1 + 1 + 1 + 2880 + 1 + 1 Elena Sinclair (701163055): 1 deal = $2,100
## Data Integrity Report: Gong-to-Deal Mapping ### (a) ORPHAN DEAL IDS (gong rows with no match in deals_open) **Count: 30 orphans** **Sample aliases:** - Deal-8FA85D (60251290957) - Deal-8FC3F9 (60251649055) - Deal-3B7945 (60251639682) - Deal-42B265 (61227242540) - Deal-36EA09 (60251082126) All 30 orphans consist of deals present in the gong call log but closed/moved off the open pipeline in deals_open. --- ### (b) DUPLICATE CONVERSATION KEYS **Count: 0 rows flagged** All 67 gong rows show calls_90d = distinct_conversation_keys with no exceptions. No row exhibits calls_90d > distinct_conversation_keys, so there are no duplicate conversation keys within individual deal call records. --- ### (c) SHARE OF DS3+ OPEN DEALS WITH AT LEAST ONE LOGGED CALL **Denominator:** 82 open deals at DS3 or later - DS3: 61 deals - DS4: 12 deals - DS5: 9 deals **Numerator:** 25 deals with at least one logged call - DS3: 12 deals (60333965090, 61024657672, 62622465606, 61129535583, 61032299692, 60869714514, 60177822276, 62494456737, 55922600992, 56611634313, 63125458471, 60182249341) - DS4: 6 deals (60182332309, 62121783047, 62622451763, 62044573757, 60524834645, 63223160241) - DS5: 7 deals (61750885954, 61355900791, 60273519516, 61035342442, 61625564751, 58634284981, 59477312298) **Share:** 25 ÷ 82 = **30.49%** (or 25/82 as a reduced fraction)
```sql SELECT COMPANY_ID, M1_USERS AS unique_givers, M1_GIVES AS recognition_count, M1_REDEMPTIONS AS successful_redemption_count -- COMPANY_COHORT_SUMMARY: only table in catalog with company-level first-month aggregates (M1_USERS, M1_GIVES, M1_REDEMPTIONS) FROM PRODUCTION.PLG.COMPANY_COHORT_SUMMARY ```
# CRM DATA AUDIT ## COMPLETENESS BY FIELD **Companies (34 rows)** - company_alias: 34/34 = 100% - domain: 34/34 = 100% - industry: 34/34 = 100% (values present but consistency issues noted below) - employee_count: 24/34 = 70.6% - hq_country: 28/34 = 82.4% **Contacts (54 rows)** - contact_key: 54/54 = 100% - company_alias: 54/54 = 100% - email: 50/54 = 92.6% - title: 41/54 = 75.9% - persona: 39/54 = 72.2% - domain: 54/54 = 100% **Deals: NOT PROVIDED** — No deals.csv file supplied. Cannot calculate pipeline amounts or rank fixes by deal value. --- ## DUPLICATE COMPANY CLUSTERS **Cluster 1: acme-corp.com** - C-0A092931: industry=Technology, employee_count=500, hq_country=US - C-0A092932: industry=tech, employee_count=510, hq_country=USA - Survival candidate: **C-0A092931** (normalized taxonomy, appears first) - Action: Consolidate C-0A092932 → C-0A092931; merge contacts; standardize to "Technology" / 500 / "US" **Cluster 2: globex.io** - C-0A092933: industry=SaaS, employee_count=200, hq_country=US - C-0A092934: industry=Technology, employee_count=200, hq_country=US - Survival candidate: **C-0A092934** (matches enrichment taxonomy) - Action: Consolidate C-0A092933 → C-0A092934; standardize to "Technology" --- ## INVALID EMAILS | Contact | Email | Company | Issue | |---------|-------|---------|-------| | CT-0010 | user0@ | C-66D1FC | Incomplete: missing domain | | CT-0080 | user0@ | C-92D97D | Incomplete: missing domain | | CT-0081 | user1@ | C-92D97D | Incomplete: missing domain | | CT-0192 | user2@ | C-425E2A | Incomplete: missing domain | --- ## DOMAIN MISMATCHES | Contact | Email | Company | Expected Domain | Issue | |---------|-------|---------|-----------------|-------| | CT-0011 | user1@**other-domain.com** | C-66D1FC | 66d1fc.com | External domain; belongs to C-66D1FC? | --- ## CRM vs ENRICHMENT DISAGREEMENTS | Domain | Company | Field | CRM Value | ZI Value | Recommendation | |--------|---------|-------|-----------|----------|-----------------| | 66d1fc.com | C-66D1FC | industry | tech | Computer Software | Use ZI: Computer Software | | 66d1fc.com | C-66D1FC | hq_country | US | United States | Standardize to "United States" | | ec3025.com | C-EC3025 | industry | Technology | Computer Software | Use ZI: Computer Software (more specific) | | ec3025.com | C-EC3025 | employee_count | (blank) | 400 | Use ZI: 400 | | 96039f.com | C-96039F | employee_count | (blank) | 400 | Use ZI: 400 | | 44ea29.com | C-44EA29 | industry | tech | Computer Software | Use ZI: Computer Software | | 44ea29.com | C-44EA29 | employee_count | (blank) | 400 | Use ZI: 400 | | 92d97d.com | C-92D97D | industry | Technology | Computer Software | Use ZI: Computer Software | | d04904.com | C-D04904 | industry | Technology | Computer Software | Use ZI: Computer Software | | d04904.com | C-D04904 | employee_count | (blank) | 400 | Use ZI: 400 | | 77a95a.com | C-77A95A | industry | Technology | Computer Software | Use ZI: Computer Software | | aa8dda.com | C-AA8DDA | industry | Technology | Computer Software | Use ZI: Computer Software | | b23205.com | C-B23205 | employee_count | (blank) | 400 | Use ZI: 400 | | b25f40.com | C-B25F40 | industry | Technology | Computer Software | Use ZI: Computer Software | | 60c75f.com | C-60C75F | industry | tech | Computer Software | Use ZI: Computer Software | | 60c75f.com | C-60C75F | employee_count | (blank) | 400 | Use ZI: 400 | | 425e2a.com | C-425E2A | industry | Tech (trailing space) | Computer Software | Use ZI: Computer Software | **Matches (no action): C-C6FE92, C-31ED2A, C-63A874, C-2C60E5, C-B97B4E, d73b89.com (both missing country)** **Not in enrichment: ba969b.com, 332637.com, 93c8bf.com, ee9ffb.com, c9bb20.com** (no ZI row; cannot enrich) --- ## FILLED FROM ENRICHMENT (Where CRM Data Missing) | Company | Domain | Field | Fill with ZI Value | |---------|--------|-------|-------------------| | C-2D1F1B | 2d1f1b.com | employee_count | 50 | | C-96039F | 96039f.com | employee_count | 400 | | C-44EA29 | 44ea29.com | employee_count | 400 | | C-D04904 | d04904.com | employee_count | 400 | | C-B23205 | b23205.com | employee_count | 400 | | C-60C75F | 60c75f.com | employee_count | 400 | | C-7BBDFA | 7bbdfa.com | employee_count | 400 | | C-50D386 | 50d386.com | employee_count | 400 | --- ## TOP 10 FIXES (Ranked by Data Quality Severity; Pipeline Value Data Missing) **⚠ NOTE: No deals.csv provided. Ranking below by scope of impact and number of affected contacts/records, not pipeline amount.** 1. **Resolve acme-corp.com duplicate (C-0A092931 ← C-0A092932)** — Merge company record, consolidate employee_count to 500, standardize industry to "Technology". Affects 1 company, likely 3 contacts. 2. **Resolve globex.io duplicate (C-0A092934 ← C-0A092933)** — Consolidate SaaS/Technology discrepancy to "Technology", keep employee_count=200. Affects 1 company, likely 3 contacts. 3. **Fix 4 incomplete emails (CT-0010, CT-0080, CT-0081, CT-0192)** — Each missing domain (@). Recommend completing or removal. Affects 4 contacts across C-66D1FC, C-92D97D, C-425E2A. 4. **Fix domain mismatch CT-0011** — user1@other-domain.com in C-66D1FC. Reassign contact or correct email to 66d1fc.com domain. Affects 1 contact. 5. **Standardize industry taxonomy** — Convert "tech", "Tech " (with trailing space), "health care" to "Computer Software" or "Healthcare". Affects 11 company records: C-66D1FC, C-44EA29, C-60C75F, C-425E2A, C-BA969B, C-93C8BF, C-C9BB20, C-92D97D, C-D04904, C-77A95A, C-AA8DDA, C-B25F40, C-7BBDFA, C-50D386. 6. **Standardize country format** — Consolidate US/USA/United States to single format (recommend "United States"). Affects 6 company records: C-66D1FC, C-950043, C-D0662E, C-2D7423 (+others). 7. **Fill 8 missing employee_count fields from ZI enrichment** — C-2D1F1B (50), C-96039F (400), C-44EA29 (400), C-D04904 (400), C-B23205 (400), C-60C75F (400), C-7BBDFA (400), C-50D386 (400). 8. **Fill 13 missing contact titles** — CT-0000, CT-0022, CT-0072, CT-0080, CT-0081, CT-0092, CT-0120, CT-0121, CT-0122, CT-0132, CT-0141, CT-0162, CT-0170. Source: manual enrichment or contact lookup. 9. **Fill 15 missing contact personas** — CT-0000, CT-0022, CT-0041, CT-0060, CT-0070, CT-0081, CT-0082, CT-0092, CT-0110, CT-0132, CT-0162, CT-0171, CT-0172, CT-0180, CT-0181. Valid values: champion, economic buyer, HR admin. 10. **Update industry from enrichment for 9 mismatches** — Replace CRM industry with ZI "Computer Software" for C-66D1FC, C-44EA29, C-92D97D, C-D04904, C-77A95A, C-AA8DDA, C-B25F40, C-60C75F, C-EC3025 (source-of-truth validation).
# CLOSED-LOST ANALYSIS: 6-MONTH PERIOD ## CLASSIFICATION (90 deals total) | Category | Count | % | |----------|-------|-----| | No Decision | 29 | 32.2% | | Competitor | 25 | 27.8% | | Timing | 22 | 24.4% | | Product Gap | 6 | 6.7% | | Pricing | 5 | 5.6% | | Other | 2 | 2.2% | | Champion Left | 1 | 1.1% | ## SIDE SPLIT | Side | Count | % | |------|-------|-----| | Buyer | 63 | 70.0% | | Unknown | 22 | 24.4% | | Bonusly | 5 | 5.6% | **Bonusly-side deals** (5): Deal-5DB9B0 (wrong ICP/spam), Deal-9048EB (multiple feature gaps), Deal-3618CC (no surveys feature), Deal-5AD03E (no budget access feature), Deal-981AD4 (UI/geographic limitations). ## TAG-VS-TEXT DISAGREEMENTS **8 deals** where structured tag clearly contradicts free-text reason: 1. Deal-ED9AE7: Tag="Lost DM" → Text: "Timing, budget, authority" (multiple factors, unclear primary) 2. Deal-70F704: Tag="Lost DM" → Text: "Only looking to automate anniversary awards" (product scope mismatch, not deal momentum) 3. Deal-FAC17C: Tag="Lost DM" → Text: "Couldn't get IT director approval" (approval/authority issue) 4. Deal-9048EB: Tag="MIA" → Text: "Multiple feature gaps" (product gap is stated reason, not silence) 5. Deal-3618CC: Tag="Lost DM" → Text: "Wanted Surveys" (explicit feature request) 6. Deal-5AD03E: Tag="Competitor" → Text: "Wanted more defined budget access" (product gap, not competitive loss) 7. Deal-1BCA50: Tag="Competitor" → Text: "Mostly about budget...other vendor was already down path" (budget primary, competitor secondary) 8. Deal-F325A5: Tag="Lost DM" → Text: "Layoffs and Change in Leadership" (organizational disruption) ## TWO PATTERNS WORTH ACTING ON **PATTERN 1: No Decision / Stale Pipeline (29 deals, 32%)** Buyers going silent or deferring without explicit reconnect: MIA (22 deals), unresponsive, paused without timeline, not interested. Total ARR at risk: ~$396k. **Why it matters:** This is process failure. Buyers are disengaging mid-cycle, not rejecting outright. Root causes likely include weak discovery (solution not compelling), poor sales follow-up cadence, or misaligned buyer personas. **Action:** Triage MIA deals by ACV. For $10k+, assign ownership and execute "no-decision recovery" sequence with competitive differentiation + value re-pitch. For cohort $3-10k, implement automated re-engagement at 90-day mark. --- **PATTERN 2: Competitive Losses (25 deals, 28%)** Buyers choosing competitor vendors: Awardco, Kudos, WorkTango, HiThrive, Motivosity, Rippl, Paylocity integrations, ADP partnerships. Bonusly is in eval but losing on specific dimensions: customization (Deal-DC77FE: "better customization...label points as dollars"), pre-built integrations (Deal-422BA6: ADP TotalSource PEO partner), incumbent moat (staying with existing vendor). Total ARR lost: ~$680k. **Why it matters:** These deals reached evaluation stage. We're not losing to "no budget"—buyers chose someone else. We're losing on product features (budget access, surveys, customization) and go-to-market positioning (incumbent advantages, partner ecosystems). **Action:** Map the 25 competitor deals by which vendors won, and audit Bonusly roadmap vs. those gaps. For high-value deals (Deal-0F96AA $76.8k, Deal-7B2236 $72k, Deal-9FCD0D ~$30k), conduct post-mortems with sales to understand deal strategy—were we ever truly differentiated, or was price the only lever? Revisit ICP: if competitors have locked-in advantage in certain segments, redeploy reps to whitespace. --- **Arithmetic check:** 29 + 25 + 22 + 6 + 5 + 2 + 1 = 90 deals ✓
```json
{
"tier_counts": {
"LOCK": 13,
"ACTION": 75,
"BUILD": 22,
"WATCH": 35,
"REVIVE": 32,
"RISKY": 7
},
"tier_examples": {
"LOCK": ["Deal-25F752", "Deal-C26D20", "Deal-64524461403"],
"ACTION": ["Deal-E53952", "Deal-547B2B", "Deal-A2B47C"],
"BUILD": ["Deal-40522D", "Deal-CA7DC0", "Deal-C9C286"],
"WATCH": ["Deal-2D1F1B", "Deal-66D1FC", "Deal-950043"],
"REVIVE": ["Deal-0660B4", "Deal-F0EBBB", "Deal-BA571A"],
"RISKY": ["Deal-63836931973", "Deal-64058864408", "Deal-64175252496"]
},
"risky_deals": [
"Deal-59729775158",
"Deal-63836931973",
"Deal-63925303692",
"Deal-64058864408",
"Deal-64175252496",
"Deal-64420745083",
"Deal-64627577700"
],
"lock_violations": 0,
"pipeline_shape": "Pipeline is heavily weighted toward early-stage PIPELINE deals in DS1–DS2 (35 WATCH deals, many with no meetings and aging contact windows). Mid-stage activity (BUILD: 22 DS2–DS3 deals) has engagement but lacks decisiveness. Mature BEST_CASE/COMMIT deals form a stable core (88 in ACTION tier, mostly DS3–DS5 with recent contact), supported by 13 LOCK deals with active meetings_30d momentum. 32 deals have entered stall status (REVIVE, last contact >2 weeks), and 7 deals show forecast–engagement misalignment (mostly early-stage PIPELINE with outsized meeting activity suggesting premature stage classification)."
}
```
```json
[
{
"transcript_id": "TX-001",
"deal_alias": "Deal-CFE7F4",
"why_buys": [
"automating anniversary and birthday awards",
"our HR team of three cannot keep up with it manually"
],
"pain_points": [
"track everything in a spreadsheet, and people slip through the cracks",
"need SSO and audit logs for IT to sign off"
],
"stakeholders": [
"Prospect (VP People)",
"Prospect (HR Admin)"
],
"budget_signal": "$40k earmarked for engagement tools this fiscal year",
"timeline_signal": "live before open enrollment in November",
"competitor_mentioned": "Achievers (looked at last year, too heavy for team size)",
"next_step": "security review on September 12",
"objections": [
"need SSO and audit logs for IT to sign off"
],
"confidence": "high (budget stated, timeline set, next step locked with both stakeholders present)"
},
{
"transcript_id": "TX-002",
"deal_alias": "Deal-70BB30",
"why_buys": [
"tie recognition to retention for our hourly workforce",
"regretted turnover there is over 30%"
],
"pain_points": [
"regretted turnover over 30% in hourly workforce"
],
"stakeholders": [
"Prospect (Head of Total Rewards)",
"Prospect (CFO)"
],
"budget_signal": "$25k pilot budget for this quarter",
"timeline_signal": "decision by end of September",
"competitor_mentioned": null,
"next_step": "send pilot agreement; prospect will route to legal this week",
"objections": [
"Integration with Workday has to be rock solid"
],
"confidence": "very high (budget approved, CFO present, pilot agreement being sent to legal, timeline under 30 days)"
},
{
"transcript_id": "TX-003",
"deal_alias": "Deal-530B50",
"why_buys": [
"make recognition visible across our 12 retail locations",
"Store managers have zero budget autonomy for on-the-spot recognition today"
],
"pain_points": [
"recognition not visible across 12 retail locations",
"store managers lack budget autonomy for recognition"
],
"stakeholders": [
"Prospect (People Ops Manager)",
"CEO (decision-maker, not in call)"
],
"budget_signal": null,
"timeline_signal": "no rush until Q1",
"competitor_mentioned": null,
"next_step": "schedule call with CEO; prospect will send two times",
"objections": [
"CEO has to be sold first — she decides anything people-related"
],
"confidence": "medium (Q1 timeline = low urgency, CEO approval gate, but prospect willing to arrange CEO call)"
},
{
"transcript_id": "TX-004",
"deal_alias": "Deal-180D02",
"why_buys": [
"consolidate three separate recognition tools into one",
"We're paying for three tools and none of them talk to our HRIS"
],
"pain_points": [
"paying for three tools with no HRIS integration",
"long procurement cycle (six to eight weeks minimum)",
"security review took three months for last vendor"
],
"stakeholders": [
"Prospect (VP People)",
"Prospect (IT Security Lead)",
"CFO (mentioned, not in call)"
],
"budget_signal": "under $15k annually (VP People approval threshold)",
"timeline_signal": "procurement cycle runs six to eight weeks minimum",
"competitor_mentioned": null,
"next_step": null,
"objections": [
"The security review took three months for our last vendor — that's my hesitation",
"long procurement cycle is a constraint"
],
"confidence": "low (no next step agreed—prospect said 'Maybe — I need to check her calendar, no promises'; IT security has hesitation about review timeline)"
},
{
"transcript_id": "TX-005",
"deal_alias": "Deal-F8767A",
"why_buys": [
"automate service milestones",
"give us analytics on recognition equity across departments",
"night-shift teams feel invisible — their engagement scores run 20 points lower"
],
"pain_points": [
"night-shift teams feel invisible; engagement scores 20 points lower",
"failed rollout two years ago",
"exec team skeptical"
],
"stakeholders": [
"Prospect (HR Director)",
"Prospect (People Ops Coordinator)",
"Exec team (not in call)"
],
"budget_signal": "$12k approved under our engagement line",
"timeline_signal": "before our January all-hands",
"competitor_mentioned": "Nectar (mid-pilot currently)",
"next_step": "present to exec team on October 2",
"objections": [
"exec team is skeptical after a failed rollout two years ago",
"mid-pilot with Nectar competitor"
],
"confidence": "medium (budget approved, exec presentation agreed, but skepticism from past failure and active Nectar pilot)"
},
{
"transcript_id": "TX-006",
"deal_alias": "Deal-EE195F",
"why_buys": [
"cut the admin time on service awards",
"I personally spend five hours a month ordering and shipping plaques"
],
"pain_points": [
"five hours per month on ordering and shipping plaques"
],
"stakeholders": [
"Prospect (HR Manager)",
"COO (not in call; prefers building things in-house)"
],
"budget_signal": null,
"timeline_signal": "fiscal year resets in February, so Q1 start is realistic",
"competitor_mentioned": null,
"next_step": "send one-page overview; prospect will forward to COO this week",
"objections": [
"COO usually prefers building things in-house"
],
"confidence": "medium (prospect ready to move, but COO approval gate and in-house preference is friction)"
}
]
```
**Top 3 Closest to Signature** 1. **Deal-547B2B** | $11,200 | Close: 2026-09-11 Why: Redlines finalized, signing page distributed. VP People confirmed signing tomorrow (Sept 5). Left: Signature execution only. 2. **Deal-403845** | $9,000 | Close: 2026-09-11 Why: Order form submitted to finance team. "Moving fine" per Dana; no blockers stated. Left: Finance approval and order form execution. 3. **Deal-A2B47C** | $6,360 | Close: 2026-09-11 Why: Legal review in progress. Alex confirms "still warm, just normal legal-review pace." Left: Legal review completion; then signature. --- **Data notes:** - Deal-2465CE ($5,400, Sept 10 CRM close) excluded: Slack update (Dana, Sept 4) marks it blocked—champion departed, procurement freeze. Being pulled from COMMIT; realistically Q4 deal. - Deal-B7EBD1 ($9,000, Sept 10 CRM close) not included: DS5/COMMIT and earliest close date, but no Slack status. Actual readiness unknown.
# Real Product Gaps **Data note:** Deal amounts are not in the provided transcripts_gaps.csv file. ## Gap 1: SCIM User Provisioning - **Deal:** Deal-EC3025 - **Amount:** NOT PROVIDED - **Prospect quote:** "We need SCIM user provisioning — our security team will not approve any tool that requires manual account management." - **Classification:** Real gap (missing capability) - **Basis:** Product docs state "SCIM user provisioning… are NOT currently listed as supported capabilities." The prospect raises a legitimate security requirement, not a tier or training issue. ## Gap 2: ADP Workforce Now Integration - **Deal:** Deal-D0D6B5 - **Amount:** NOT PROVIDED - **Prospect quote:** "Our payroll runs on ADP Workforce Now and I don't see ADP anywhere in your integration list — that's a dealbreaker for us." - **Classification:** Real gap (missing integration) - **Basis:** Product docs confirm "ADP Workforce Now integrations are NOT currently listed as supported capabilities." Prospect states this is a dealbreaker, and the HRIS integration table shows only Workday, BambooHR, Gusto, Rippling (no ADP). --- ## Non-gaps excluded from summary: - **TG-003 (Deal-CFE7F4):** Plan gate — custom report builder exists on Enterprise tier. - **TG-004 (Deal-84DBA6):** Rollout/enablement issue — Slack integration works; gap is manager training. - **TG-005 (Deal-36C33F):** Rep language, not prospect voice; prospect accepted workaround.
**STALE DEALS: NO ENGAGEMENT IN LAST 7 DAYS (since 2026-08-29)** Snapshot date: 2026-09-05. Cutoff: max(last_email, last_call, last_meeting) ≤ 2026-08-28. --- **BRYCE HARMON** (119337721) | 13 stale deals | Total: $626,843 Deal-2D1F1B DS1 240,000 85 days Deal-66D1FC DS1 99,000 16 days Deal-950043 DS1 70,000 19 days Deal-B23205 DS1 45,000 16 days Deal-7BBDFA DS3 37,440 45 days Deal-332637 DS2 36,000 9 days Deal-1BEEBF DS1 31,500 19 days Deal-C5658B DS1 23,400 16 days Deal-40522D DS3 21,000 19 days Deal-F0EBBB DS3 11,400 24 days Deal-E25A09 DS1 6,000 9 days Deal-C9C286 DS2 5,502 9 days Deal-012CB1 DS1 1 23 days --- **DANA MERCER** (83155923) | 14 stale deals | Total: $261,645 Deal-44EA29 DS2 60,000 10 days Deal-E51FB7 DS2 43,875 12 days Deal-B42F46 DS1 27,000 18 days Deal-BA3DDC DS3 23,400 15 days Deal-9DDE86 DS2 20,000 15 days Deal-215CCA DS3 18,900 17 days Deal-5EED42 DS3 16,250 11 days Deal-57887A DS2 15,000 8 days Deal-B7EBD1 DS5 9,000 16 days Deal-3974EB DS4 9,000 8 days Deal-F40F04 DS2 8,100 15 days Deal-F336B6 DS3 4,200 15 days Deal-87DDD1 DS1 5,000 19 days Deal-0660B4 DS4 1,920 16 days --- **ALEX FRANKLIN** (84342457) | 16 stale deals | Total: $101,756 Deal-CC08D1 DS1 24,000 16 days Deal-E73427 DS3 18,000 10 days Deal-C2FF3C DS1 8,316 10 days Deal-885F45 DS2 9,300 12 days Deal-690476 DS2 3,600 18 days Deal-635B8E DS3 2,600 18 days Deal-C6D97A DS4 3,240 8 days Deal-9D0060 DS3 3,840 12 days Deal-0D2F7A DS3 5,100 12 days Deal-6C60D4 DS3 4,800 12 days Deal-13FEBD DS2 4,680 12 days Deal-4A13AD DS3 2,160 21 days Deal-EE195F DS3 3,120 8 days Deal-F67D31 DS2 1,800 8 days Deal-278DEC DS3 2,700 8 days Deal-6883F3 DS1 2,400 16 days --- **COLE INGRAM** (83155924) | 16 stale deals | Total: $237,572.03 Deal-D04904 DS2 58,529.25 11 days Deal-B25F40 DS3 40,000 8 days Deal-813836 DS2 32,175 11 days Deal-1BA595 DS2 31,750 11 days Deal-CFE1E8 DS3 18,000 11 days Deal-CD47A6 DS2 12,168 12 days Deal-FF809F DS2 7,781.2 11 days Deal-AF932D DS2 7,225.4 11 days Deal-A71728 DS2 6,947.5 11 days Deal-8BC9F5 DS2 5,616 10 days Deal-175395 DS3 4,779.88 11 days Deal-2F3A66 DS3 3,334.8 11 days Deal-C7F9BF DS2 3,360 12 days Deal-342E96 DS2 2,700 24 days Deal-E568D5 DS3 1,875 11 days Deal-FD9F4E DS5 1,330 10 days --- **SUMMARY** | Owner | Stale Deals | Total Amount | |---------------------|-------------|-----------------| | Bryce Harmon | 13 | $626,843 | | Dana Mercer | 14 | $261,645 | | Alex Franklin | 16 | $101,756 | | Cole Ingram | 16 | $237,572.03 | | | **59** | **$1,227,816.03** |
# Sales Rep Activity & Conversion Efficiency Analysis **Snapshot: 2026-09-05 | Last 30 days: 2026-08-06 to 2026-09-05** --- ## Per-Rep Activity Summary (Last 30 Days) | Owner | Emails | Calls | Meetings | Total Activities | DS2 Entries (L30D) | Activities/DS2 | |-------|--------|-------|----------|------------------|--------------------|----------------| | Bryce Harmon (119337721) | 158 | 0 | 41 | 199 | 4 | 49.75 | | Alex Franklin (84342457) | 287 | 30 | 25 | 342 | 16 | 21.38 | | Dana Mercer (83155923) | 82 | 18 | 11 | 111 | 1 | 111.00 | | Cole Ingram (83155924) | 91 | 5 | 15 | 111 | 0 | N/A | | Farid Osman (716654662) | 17 | 0 | 15 | 32 | 1 | 32.00 | | Elena Sinclair (701163055) | 0 | 0 | 0 | 0 | 0 | N/A | --- ## Activity Mix (as % of total per rep) | Owner | Emails | Calls | Meetings | |-------|--------|-------|----------| | Bryce Harmon | 79.4% | 0.0% | 20.6% | | Alex Franklin | 83.9% | 8.8% | 7.3% | | Dana Mercer | 73.9% | 16.2% | 9.9% | | Cole Ingram | 82.0% | 4.5% | 13.5% | | Farid Osman | 53.1% | 0.0% | 46.9% | | Elena Sinclair | — | — | — | --- ## Efficiency Ranking (Activities per DS2 Entry) 1. **Alex Franklin: 21.38** ← Most efficient (lowest activities required per DS2 conversion) 2. Farid Osman: 32.00 3. Bryce Harmon: 49.75 4. Dana Mercer: 111.00 5. Cole Ingram: No DS2 entries in period (non-comparable) 6. Elena Sinclair: No activity recorded --- ## Key Findings **Most efficient rep:** Alex Franklin (21.38 activities per DS2 entry) **Highest-volume rep:** Alex Franklin (342 total activities) **Same rep in both categories.** No divergence. **Data gaps:** Cole Ingram logged 111 activities across 0 DS2 conversions in the period. Elena Sinclair is inactive. --- *Arithmetic shown:* Bryce Harmon: (158 emails + 0 calls + 41 meetings) / 4 DS2 = 199 / 4 = 49.75 Alex Franklin: (287 + 30 + 25) / 16 = 342 / 16 = 21.38 Dana Mercer: (82 + 18 + 11) / 1 = 111 / 1 = 111.00 Farid Osman: (17 + 0 + 15) / 1 = 32 / 1 = 32.00
# QTD SCORECARD — ALEX FRANKLIN (2026-Q3, as of 2026-09-05) ## BOOKINGS VS QUOTA | Metric | Amount | |-----------------------|-------------| | **Quota** | $200,000 | | **Closed-Won (Q3)** | $150,000 | | **Attainment** | **75%** | **Arithmetic:** 9 deals closed won in Q3 (2026-07-01 onward): Deal-A1C3E5 ($40k) + Deal-F2C7D8 ($20k) + Deal-B7D2F4 ($35k) + Deal-C9E1A6 ($21k) + Deal-A8B4D6 ($12k) + Deal-D4B8C2 ($11k) + Deal-E6F3A9 ($6.5k) + Deal-C5D9E2 ($4.5k) = $150,000. Excluded Deal-B3E6F1 ($24k, closed 2026-06-20, pre-Q3). --- ## NEW VS EXPANSION SPLIT | Category | Count | Amount | % of Bookings | |-------------|-------|-------------|---------------| | New | 5 | $113,500 | 75.7% | | Expansion | 3 | $36,500 | 24.3% | **New deals won:** Deal-A1C3E5, Deal-B7D2F4, Deal-C9E1A6, Deal-D4B8C2, Deal-E6F3A9. **Expansion won:** Deal-F2C7D8, Deal-A8B4D6, Deal-C5D9E2. --- ## ACTIVE PIPELINE BY STAGE | Stage | Deal Count | Amount | |-------|-----------|-------------| | DS1 | 20 | $322,718 | | DS2 | 28 | $325,170 | | DS3 | 77 | $549,605 | | DS4 | 5 | $23,574 | | DS5 | 5 | $45,730 | | **Total** | **135** | **$1,266,797** | --- ## ROLLING 90-DAY DS2-TO-WON RATE **Period:** 2026-06-07 to 2026-09-05 (90 days prior to snapshot). | Outcome | Deal Count | |---------|-----------| | Won from cohort | 8 | | Lost from cohort | 27 | | **Conversion Rate** | **22.9%** (8 ÷ 35) | **Cohort definition:** Deals that entered DS2 on or after 2026-06-07. Won deals: Deal-A1C3E5, Deal-F2C7D8, Deal-B7D2F4, Deal-C9E1A6, Deal-A8B4D6, Deal-D4B8C2, Deal-E6F3A9, Deal-C5D9E2. Lost deals: 27 others that entered DS2 in the same window. --- ## WIN & LOSS COUNTS (Q3 2026) | Metric | Count | |-----------------|-------| | Wins (Q3) | 8 | | Losses (all) | 27 | | **Win Rate** | **23%** (8 ÷ 35 from 90d cohort) | **Top Loss Reason:** "Lost- Timing (1 year or more)" — 12 of 27 losses (44.4%). Other reasons: Competitor (5), MIA (5), Lost DM (2), Feature Request (1), Doesn't Fit ICP (1). --- ## ACTIVITY VOLUME — LAST 30 DAYS | Activity Type | Volume | |----------------|--------| | Emails | 1,394 | | Calls | 162 | | Meetings | 173 | | Notes | 119 | | **Total touches** | **1,848** | --- ## THREE COACHING OBSERVATIONS **1. Execution gap in DS2 pipeline — $325k sits stalled at 22.9% conversion.** The 90-day DS2-to-won rate of 23% is weak relative to a typical 40%+ benchmark. With 28 deals in DS2 totaling $325k, only ~7 are expected to close. Alex's 27 losses in the cohort outnumber his 8 wins 3.4:1. Coaching: Qualify harder at entry to DS2 (eliminate "1-year timing" deals earlier) and build execution playbooks to move stalled deals forward—activity volume alone ($1,394 emails, 162 calls) isn't translating to velocity. **2. New business skew masks expansion opportunity — $113.5k new vs $36.5k expansion (75%/25%).** While 75% attainment is serviceable, the split reveals dependency on new logos. Expansion revenue ($36.5k) is only 32% of new ($113.5k), and only 3 expansion deals closed in Q3 despite a large base. Coaching: Invest in account intelligence for existing customers; 24% of closed-won volume should grow to 35%+ to build predictable renewal/upsell motion. **3. Loss-to-win ratio (3.4:1) signals qualification or positioning breakdown — not pipeline volume.** Alex has $1.27M open pipeline (robust coverage at 6.3x quota) and 135 deals in motion, but lost 27 to win 8 in the 90-day cohort. "Lost- Timing (44%)" and "Competitor" (19%) dominate—not "no budget" or "wrong persona." Coaching: Pre-qualification rigor is the issue, not outreach. Implement a scoring gate at DS1 to reject 20%+ of early-stage deals before they burn 6+ touches (emails/calls/meetings) with low-intent accounts.
FLAGGED DEALS ANALYSIS Current date baseline: 2026-09-03 (most recent engagement) 60-day active engagement window: 2026-07-05 through 2026-09-03 Active criteria: last_engaged_date >= 2026-07-05 AND is_former = false --- DEAL-EC3025 | C-FDD0C7 Amount: NOT PROVIDED | Stage: NOT PROVIDED Active contact count: 1 - CT-047C54 (Head of Employee Experience, champion, 2026-09-02) Personas present: champion Personas missing: economic buyer, HR admin, IT security, finance Most valuable to add: economic buyer (executive budget authority) Unengaged contact available: CT-6827DB (Chief People Officer, economic buyer) DEAL-92D97D | C-E23238 Amount: NOT PROVIDED | Stage: NOT PROVIDED Active contact count: 1 - CT-01F5B4 (HRIS Manager, HR admin, 2026-08-28) - CT-A902AE (Head of Employee Experience, champion, 2026-06-01) → OUTSIDE 60-DAY WINDOW Personas present: HR admin Personas missing: economic buyer, champion, IT security, finance Most valuable to add: economic buyer (executive budget authority) Unengaged contact available: none on file DEAL-50D386 | C-EB10E4 Amount: NOT PROVIDED | Stage: NOT PROVIDED Active contact count: 2 - CT-AA41B2 (Head of Employee Experience, champion, 2026-09-01) - CT-B9C35B (HRIS Manager, HR admin, 2026-08-25) Personas present: champion, HR admin Personas missing: economic buyer, IT security, finance Most valuable to add: economic buyer (executive budget authority) Unengaged contact available: CT-A1C4B3 (Chief People Officer, economic buyer) DEAL-D0D6B5 | C-32918E Amount: NOT PROVIDED | Stage: NOT PROVIDED Active contact count: 3 [ALL CHAMPION PERSONA] - CT-87CED4 (People Ops Manager, champion, 2026-09-02) - CT-DE6D7C (Head of Employee Experience, champion, 2026-08-19) - CT-FD70B2 (Head of Employee Experience, champion, 2026-08-07) Personas present: champion (3 contacts, single persona) Personas missing: economic buyer, HR admin, IT security, finance Most valuable to add: economic buyer (executive budget authority) Unengaged contact available: CT-1FA4DB (Chief People Officer, economic buyer) DEAL-5BFE3B | C-535D36 Amount: NOT PROVIDED | Stage: NOT PROVIDED Active contact count: 2 [ALL CHAMPION PERSONA] - CT-57123B (People Ops Manager, champion, 2026-08-31) - CT-5CE757 (Head of Employee Experience, champion, 2026-08-12) Personas present: champion (2 contacts, single persona) Personas missing: economic buyer, HR admin, IT security, finance Most valuable to add: economic buyer (executive budget authority) Unengaged contact available: none on file DEAL-36C33F | C-077A0E Amount: NOT PROVIDED | Stage: NOT PROVIDED Active contact count: 1 - CT-4FE556 (IT Security Lead, IT security, 2026-08-15) - CT-405B45 (Head of Employee Experience, champion, 2026-08-10) → FORMER - CT-86B22F (Chief People Officer, economic buyer, 2026-07-30) → FORMER Personas present: IT security Personas missing: economic buyer, champion, HR admin, finance Most valuable to add: economic buyer (executive budget authority) + champion (internal advocate) Unengaged contact available: CT-1DB73E (Chief People Officer, economic buyer) DEAL-885F45 | C-5E8EFB Amount: NOT PROVIDED | Stage: NOT PROVIDED Active contact count: 2 - CT-51C81E (VP People, economic buyer, 2026-08-26) - CT-D9A0E8 (People Ops Manager, champion, 2026-08-11) Personas present: economic buyer, champion Personas missing: HR admin, IT security, finance Most valuable to add: IT security (compliance/security gating) or HR admin (implementation owner) Unengaged contact available: CT-B3F25D (IT Security Lead, IT security) DEAL-FCBE5B | C-737030 Amount: NOT PROVIDED | Stage: NOT PROVIDED Active contact count: 1 - CT-4A5317 (People Ops Manager, champion, 2026-08-29) Personas present: champion Personas missing: economic buyer, HR admin, IT security, finance Most valuable to add: economic buyer (executive budget authority) Unengaged contact available: none on file DEAL-5408B0 | C-2AE3AA Amount: NOT PROVIDED | Stage: NOT PROVIDED Active contact count: 2 - CT-D33AE4 (Head of Employee Experience, champion, 2026-09-01) - CT-8742FD (HRIS Manager, HR admin, 2026-08-18) Personas present: champion, HR admin Personas missing: economic buyer, IT security, finance Most valuable to add: economic buyer (executive budget authority) Unengaged contact available: CT-07FA76 (Chief People Officer, economic buyer) DEAL-C6D97A | C-5A8FC2 Amount: NOT PROVIDED | Stage: NOT PROVIDED Active contact count: 3 [ALL CHAMPION PERSONA] - CT-223DDC (People Ops Manager, champion, 2026-08-31) - CT-B03555 (Head of Employee Experience, champion, 2026-08-20) - CT-4E8A2B (People Ops Manager, champion, 2026-08-05) Personas present: champion (3 contacts, single persona) Personas missing: economic buyer, HR admin, IT security, finance Most valuable to add: economic buyer (executive budget authority) Unengaged contact available: none on file DEAL-F9A08A | C-0D15DF Amount: NOT PROVIDED | Stage: NOT PROVIDED Active contact count: 1 - CT-931B10 (Head of Employee Experience, champion, 2026-09-03) - CT-913581 (Chief People Officer, economic buyer, 2026-06-20) → OUTSIDE 60-DAY WINDOW Personas present: champion Personas missing: economic buyer, HR admin, IT security, finance Most valuable to add: economic buyer (executive budget authority) Unengaged contact available: CT-697541 (Chief People Officer, economic buyer) --- SUMMARY: 11 flagged deals. Deal amount and stage data not provided in source files.
**OPENING (FIRST 5 MINUTES):**
"Quick one to kick off: a 400-person retailer we work with cut regretted turnover 18% in two quarters after automating milestone awards, and I wanted to walk you through exactly how they did it."
(Used in 8 of 10 calls: TT-001, TT-002, TT-003, TT-005, TT-006, TT-007, TT-008, TT-010)
---
**THREE MOST COMMON OBJECTIONS & HANDLING:**
1. **Budget locked (4 occurrences)** — TT-001, TT-003, TT-006, TT-010
Prospect: "Honestly, budget is locked until next fiscal year — I can't add a new line item right now."
Response: "Totally fair. Most teams fund this out of turnover savings — that retailer saved about $210k in avoided backfills, which is how their finance team signed off."
2. **Status quo (3 occurrences)** — TT-004, TT-007, TT-009
Prospect: "We already do recognition with a spreadsheet and quarterly gift cards — why would we change?"
Response: "Spreadsheets work until they scale — the difference is automation: milestones fire without HR lifting a finger, and you get analytics on who is being recognized."
3. **Timing/bandwidth (3 occurrences)** — TT-002, TT-005, TT-008
Prospect: "This is good, but can we revisit it next quarter? Open enrollment starts in October and we're underwater."
Response: "Makes sense. What if we scope a 90-day pilot with one department so you have internal data before next quarter's planning?"
---
**NEXT STEP CLOSE RATE:**
7 of 10 = **70%**
(Closed: TT-001, TT-002, TT-003, TT-005, TT-006, TT-008, TT-009 | Open-ended: TT-004, TT-007, TT-010)
---
**COMPETITORS RAISED BY PROSPECT:**
1. Awardco (TT-003): "We're also in late talks with Awardco — their rewards catalog looks bigger than yours."
2. Kudos (TT-007): "How are you different from Kudos? Our CEO used them at her last company."
---
**COACHING NOTES:**
1. **Opener lacks signal-reading:** The retailer story repeats in 80% of calls; pre-call intel on company size, industry, or tech stack could trigger a differentiated opener for perceived strategic thinking rather than templated approach.
2. **Committee/timing blocks end in silence:** When prospects invoke approvals or urgency gaps (TT-004, TT-007, TT-010), replies are terminal ("I'll leave it with you," "Fair enough"). Offer interim value—email board summary, schedule post-decision check-in—to keep selling motion alive while gating decisions resolve.
# Q3 2026 FORECAST REPORT ## Forecast Calculation **In-Quarter Criteria: Close date 2026-07-01 through 2026-09-30** ### COMMIT Deals Inside Q3 7 deals totaling $44,729 - Deal-547B2B: $11,200 (2026-09-11) - Deal-B7EBD1: $9,000 (2026-09-10) - Deal-403845: $9,000 (2026-09-11) - Deal-A2B47C: $6,360 (2026-09-11) - Deal-2465CE: $5,400 (2026-09-10) - Deal-A5E80A: $2,520 (2026-09-11) - Deal-499BF6: $1,249 (2026-09-30) Sum: $11,200 + $9,000 + $9,000 + $6,360 + $5,400 + $2,520 + $1,249 = $44,729 ### BEST_CASE Deals Inside Q3 24 deals totaling $203,565 Sum verified: $38,935 + $24,000 + $19,656 + $16,250 + $11,116 + $10,800 + $10,500 + $9,890 + $9,720 + $9,000 + $7,200 + $3,840 + $3,780 + $3,600 + $3,240 + $3,150 + $3,120 + $3,060 + $2,916 + $2,760 + $2,484 + $2,100 + $1,920 + $528 = $203,565 ### Weighted Forecast Formula: (100% × COMMIT) + (35% × BEST_CASE) = ($44,729 × 1.00) + ($203,565 × 0.35) = $44,729 + $71,247.75 = **$115,976.75** ## Summary Counts | Category | Count | Amount | |----------|-------|--------| | COMMIT (in Q3) | 7 | $44,729 | | BEST_CASE (in Q3) | 24 | $203,565 | | PIPELINE (in Q3) | 23 | $0 (excluded per rules) | ## Deals Excluded — Outside Q3 **Count: 32 deals** **Total Amount: $227,575** All have close dates from 2026-10-01 through 2026-10-15. ## Top 5 BEST_CASE Deals Inside Q3 (by Amount) 1. Deal-2D7423: $38,935 (2026-09-30) 2. Deal-25F752: $24,000 (2026-09-25) 3. Deal-E53952: $19,656 (2026-09-30) 4. Deal-5EED42: $16,250 (2026-09-30) 5. Deal-FA32A0: $11,116 (2026-09-25) ## Data Quality Missing owner field on 85/86 deals prevents deal accountability tracking and validation. The why_buys_chars field is populated (non-zero) for only ~5% of deals, indicating incomplete deal qualification documentation. BEST_CASE deals cluster heavily in DS1-DS3 stages, which typically exhibit higher attrition, inflating forecast confidence. The data shows a single owner (Bryce Harmon on Deal-C9C286) suggesting systematic collection failure across the pipeline.
# ACTIVATION HYPOTHESIS TEST: M1 ENGAGEMENT SIGNALS & 24-MONTH RETENTION ## 2×2 COHORT MATRIX | Cohort | Size | Retained (active) | 24M Retention Rate | |--------|------|-------------------|--------------------| | Both signals (m1_users ≥5 AND m1_redemptions ≥1) | 47 | 31 | 65.96% | | Givers only (m1_users ≥5, m1_redemptions <1) | 50 | 28 | 56.00% | | Redemptions only (m1_users <5, m1_redemptions ≥1) | 29 | 9 | 31.03% | | Neither (<5 users, <1 redemptions) | 94 | 52 | 55.32% | **Total denominator: 220** | No exclusions. --- ## HYPOTHESIS RESULT: SUPPORTED (PARTIALLY) **Both signals beat neither by 10.64 percentage points** (65.96% vs 55.32%). **Both signals also outperform both single-signal cohorts** (vs givers-only: +9.96 pp; vs redemptions-only: +34.93 pp). --- ## SINGLE-SIGNAL RETENTION LIFT **Givers signal has the largest positive lift: +0.68 pp** vs neither baseline (56.00% vs 55.32%). Redemptions signal has the largest negative lift: −24.29 pp vs neither baseline (31.03% vs 55.32%). --- ## WHAT THIS PROVES - The activation hypothesis is directionally supported: companies exhibiting both signals in M1 have materially higher 24-month retention (65.96%). - Early engagement signals (multiple givers + successful redemptions) cluster in retained companies. ## WHAT THIS DOES NOT PROVE - **Causation**: Both-signal companies may be inherently healthier, faster-growing, or better-fit to the product. Early high engagement may be a symptom of product-market fit, not its cause. - **Per-signal importance**: We cannot isolate which signal matters more; both-signal cohorts are qualitatively different from single-signal cohorts (survivorship, selection). - **Threshold sensitivity**: The choice of m1_users=5 and m1_redemptions=1 is arbitrary; results may shift with different thresholds. - **Confounding**: Retention may be driven by industry, country, product tier, or ARR (not controlled here). - **Generalizability**: Pattern holds in this 2023 cohort; may not hold in other periods or segments. - **Magnitude of business impact**: 10.64 pp lift from 55% baseline is meaningful but not transformative; 34% of both-signal companies still churn by 24 months.
# ARR RECONCILIATION REPORT 2026-09-05 ## TOTALS Billing ARR (active subscriptions, MRR × 12): 604,739.28 CRM ARR (all company records): 603,581.76 ───────────────────────────────────────── Variance (Billing > CRM): 1,157.52 ## VARIANCE DECOMPOSITION Missing Record in CRM: C-21629AA4 (SUB-0004): +28,449.24 Missing Record in Billing: C-0D5BBE3A: -16,497.24 Rounding/Precision Differences: C-0D66DF9E: Billing 23,184.00 vs CRM 23,200.00 = -16.00 C-14D70CE0: Billing 18,180.00 vs CRM 18,200.00 = -20.00 Subtotal: -36.00 Status Mismatch (Cancelled in Billing): C-0C8323BF (SUB-000E): Billing excludes, CRM includes 4,905.24 = -4,905.24 C-0DC4FB8C (SUB-000F): Billing excludes, CRM includes 8,253.24 = -8,253.24 Subtotal: -13,158.48 Other/Data Variance: C-0F7269D7 (SUB-0006): Billing 26,796.00 vs CRM 24,396.00 = +2,400.00 Arithmetic Check: +28,449.24 - 16,497.24 - 36.00 - 13,158.48 + 2,400.00 = 1,157.52 ✓ ## MISMATCHED ACCOUNTS (Owner assignment: not provided in source data) | Account | Issue | ARR | Action | |---------|-------|-----|--------| | C-21629AA4 | Missing from CRM | 28,449.24 | Create CRM record or remove from billing | | C-0D5BBE3A | Missing from Billing | 16,497.24 | Link to subscription or retire record | | C-0C8323BF | Status mismatch | 4,905.24 | Mark cancelled in CRM | | C-0DC4FB8C | Status mismatch | 8,253.24 | Mark cancelled in CRM | | C-0F7269D7 | Data variance | 2,400.00 | Audit CRM ARR calculation | ## BUSINESS RULE VIOLATIONS (Non-12-month terms without cf_agreement_end_date) 1. SUB-0002 (C-1794A52C): 24-month term, cf_agreement_end_date EMPTY 2. SUB-0019 (C-22170CA1): 36-month term, cf_agreement_end_date EMPTY Compliant non-12-month subscriptions: SUB-000C: 24-month term, cf_agreement_end_date = 2027-11-30 ✓ SUB-001A: 36-month term, cf_agreement_end_date = 2027-11-30 ✓
**2026-08 vs 2026-07 KVM Summary** Pulse Check Engagement posted the largest relative decline at **-12.00%**, driven entirely by the enterprise segment's dramatic -50.13% drop (0.5500 → 0.2743). Mid-market held flat (+0.21%), and SMB declined modestly (-1.13%). This enterprise collapse warrants investigation—values halved uniformly across all 10 accounts without variance, suggesting potential data issue or measurement change. Remaining metrics show nominal movement: - **Giving Rate:** -0.06% (0.6012 → 0.6008), statistically flat - **Redemptions per User:** +0.11% (1.7298 → 1.7317), minimal uplift - **1:1 Meetings Engagement:** +0.01% (0.4536 → 0.4537), negligible No other segment drove material changes; SMB and mid-market remained stable across all four KVMs. | KVM | July 2026 | Aug 2026 | Absolute Δ | Relative Δ | Direction | |-----|-----------|----------|-----------|-----------|-----------| | Giving Rate | 0.6012 | 0.6008 | –0.0004 | –0.06% | ↓ | | Redemptions/User | 1.7298 | 1.7317 | +0.0019 | +0.11% | ↑ | | 1:1 Meetings Engagement | 0.4536 | 0.4537 | +0.0001 | +0.01% | ↑ | | Pulse Check Engagement | 0.6044 | 0.5319 | –0.0725 | –12.00% | ↓ |
REDEMPTION REPORT THROUGH 2026-08 Last Completed Month: 2026-08 **Redemption Metrics** Redemption Count: 378 Total Spend: $27,846.00 Unique Redeemers: 235 Redemptions Per Redeemer: 1.61 **Provider Mix (% of spend)** custom: 39.05% Tremendous: 30.54% Snappy: 18.81% TangoCard: 11.60% Provider shares sum: 100.0% **Top 5 Countries by Redemptions** 1. US: 244 2. CA: 24 3. AU: 21 4. GB: 17 5. NL: 17
## Qualifying Accounts for Churn-Save Offers **Eligibility Criteria Applied (all three must pass):** - R1: health_score < 60 - R2: churn_save_eligible_amount > 0 - R3: renewal_date within 120 days of 2026-09-05 (on or before 2027-01-03) ### QUALIFYING ACCOUNTS (8 total) | Account | Health | ARR at Risk | Renewal | Usage | Champion | Play | Signal | |---------|--------|------------|---------|-------|----------|------|--------| | C-0F6C0F34 | 51 | $49,707 | 2026-10-03 | growing | inactive | Executive Touch | Champion_active=false requires re-engagement | | C-0B827671 | 56 | $25,365 | 2026-11-14 | declining | active | Usage Revival | declining trend over 3m; seats_used 56% of seats_live (113/202) | | C-0B360C78 | 57 | $35,748 | 2026-10-28 | growing | active | Commercial Concession | $35,748 at stake; proactive concession given near renewal | | C-0B0F1BAB | 38 | $5,494 | 2026-09-23 | flat | inactive | Executive Touch | Champion_active=false; renewal within 18 days | | C-0CA21961 | 58 | $16,829 | 2026-12-28 | flat | active | Usage Revival | Critical underutilization: seats_used 26% of seats_live (84/325) despite active champion | | C-0E9C27D1 | 39 | $41,235 | 2026-09-24 | flat | active | Commercial Concession | $41,235 at stake (highest); stagnant usage warrants incentive | | C-0CEF69FD | 53 | $32,621 | 2026-11-21 | growing | inactive | Executive Touch | Champion_active=false; $32,621 at stake justifies executive intervention | | C-0D3278C7 | 54 | $17,602 | 2026-11-12 | declining | active | Usage Revival | declining trend; very low utilization (126/380 = 33%) | **Total at Stake: $224,601** Arithmetic: $49,707 + $25,365 + $35,748 + $5,494 + $16,829 + $41,235 + $32,621 + $17,602 = $224,601 --- ## AT-RISK ACCOUNTS THAT DON'T QUALIFY | Account | Health | Reason | Details | |---------|--------|--------|---------| | C-0BC71BDD | 55 | Fails R2 | churn_save_eligible_amount = $0; renewal 2026-10-27 (within window) but no eligible amount to protect | | C-0BA71F12 | 52 | Fails R3 | renewal 2027-04-11 (158 days out); outside 120-day intervention window despite $6,824 eligible | | C-0F6694C3 | 43 | Fails R2, R3 | churn_save_eligible_amount = $0; renewal 2027-03-21 (168 days out) | | C-0BE96399 | 54 | Fails R2 | churn_save_eligible_amount = $0; renewal 2026-10-29 (within window) but no eligible amount defined | | C-0F876796 | 47 | Fails R3 | renewal 2027-02-06 (154 days out); outside 120-day window despite $19,958 eligible and poor health (47) | | C-0FCCD2DF | 43 | Fails R2, R3 | churn_save_eligible_amount = $0; renewal 2027-04-23 (200 days out) | | C-10A56B0F | 54 | Fails R2 | churn_save_eligible_amount = $0; renewal 2026-12-12 (within window) but no eligible amount to protect |
# EXPANSION KIT: C-0DDFC9A7 ## SEAT COVERAGE **37.5%** (150 licensed ÷ 400 headcount) --- ## USAGE HEALTH **Line 1 – MAU Trajectory** 88 → 95 → 102 → 110 → 118 → 126 users (Mar–Aug 2026) **Line 2 – Growth Profile** +43.2% expansion over 6 months; consistent month-over-month adds averaging +7.6 users/month --- ## HEADROOM **Seats available:** 24 (150 licensed – 126 current users) **Per-seat rate:** $60/year ($9,000 ARR ÷ 150 seats) **ARR headroom:** $1,440 (24 × $60) --- ## WHO REPLIED & BUYING AUTHORITY **Responder:** Maria S., People Operations Coordinator **Can she buy:** No. Direct quote: "I'm not the right person for purchasing decisions here." --- ## RIGHT BUYER **Dana R., VP People** - Authority: "Budget and seat expansion sit with Dana R." (per Maria) - Signal: Maria notes Dana "has been asking about usage numbers lately" - Last engaged: 2026-05-18 --- ## EMAIL REPLY (94 words) Hi Dana, Maria kindly suggested I reach out. I wanted to share that C-0DDFC9A7's recognition program engagement has been exceptional—monthly active users climbed from 88 in March to 126 by August, showing consistent growth and strong adoption across the team. As you've been exploring your usage patterns, I thought it'd be worth a quick conversation about how your current seat allocation is tracking against this momentum. With your team expanding, there's an opportunity to ensure everyone stays enabled without leaving value on the table. Would you have 15 minutes next week? Best, Cole
## CSM PREP: C-0D284E42 MID-ONBOARDING CALL **COMPLETE (WITH DATA):** - Slack integration: 2026-08-12 ✓ - Admins added: 2 admins, 2026-08-13 ✓ - First recognition: 2026-08-15 14:22 ✓ **NOT COMPLETE (BLANK FIELDS):** - HRIS integration: not connected - Allowance: not set - First redemption: no activity --- **EARLY ENGAGEMENT SIGNALS:** Active givers grew from 3 (2026-08-11, signup) to 15 (2026-09-04, latest) = 400% adoption in 24 days. Timeline detail: - Aug 15 (first recognition): 5 active givers - Aug 21: 9 givers (+4 in 6 days) - Aug 26: 11 givers (+2 in 5 days) - Sep 03: 15 givers (+4 in 8 days) - Sep 04: 15 givers (sustained) The account hit 7+ active givers by Aug 17 (6 days post-signup) and maintained 8+ since Aug 22. Sustained engagement at 13–15 givers over the past 5 days signals credibility with the user base. --- **THREE THINGS TO COVER:** 1. **HRIS integration** — Missing. Required to unlock auto-sync features and reduce admin overhead for recognition lifecycle. 2. **Allowance configuration** — Not set. Must define to unlock redemptions and close the feedback loop (giver → recognition → redemption). 3. **First redemption push** — No redemptions yet despite 15 active givers and strong recognition activity. Opportunity to drive one high-visibility redemption to validate ROI and product-market fit.
## 90-Day Renewal Risk Brief **Period: September 5 – December 4, 2026** --- ### DISAGREEMENT FLAGS (Date Disputes) **5 multi-year contract date discrepancies found. All resolved in favor of Chargebee.** | Account | ChurnZero | Chargebee | Variance | Reason for Trust | |---------|-----------|-----------|----------|------------------| | C-0BCDB8C2 | 2027-09-18 | 2026-09-18 | 1 year off | Multi-year contract; CZ off by entire year | | C-0BBE3E60 | 2027-09-26 | 2026-09-26 | 1 year off | Multi-year contract; CZ off by entire year | | C-0B7D2C30 | 2026-09-10 | 2026-09-15 | 5 days | Multi-year contract | | C-0D2AB865 | 2026-09-10 | 2026-09-22 | 12 days | Multi-year contract | | C-0F5D2323 | 2026-09-10 | 2026-09-29 | 19 days | Multi-year contract | --- ### RENEWAL ROSTER (Chargebee dates used throughout) | Account | CSM | ARR | Renewal Date | Seats Used / Total | Utilization | 3-Mo Trend (Jun-Jul-Aug) | Risk | Evidence | |---------|-----|-----|---------------|--------------------|-------------|------------------------|------|----------| | C-0B7D2C30 | Dana Mercer | $65,901 | 2026-09-15 | 274 / 476 | 57.6% | 97→94→84 (↓13) | **HIGH** | Declining usage (-13% over 2 months) plus moderate seat utilization. | | C-0BCDB8C2 | Cole Ingram | $54,427 | 2026-09-18 | 232 / 424 | 54.7% | 127→118→110 (↓17) | **HIGH** | Sharp 3-month user decline (−13%) despite multi-year agreement approaching renewal. | | C-0D2AB865 | Elena Sinclair | $38,022 | 2026-09-22 | 250 / 407 | 61.4% | 125→117→109 (↓16) | MEDIUM | User churn visible (−13% trend) but seat utilization acceptable at 61%. | | C-0BBE3E60 | Dana Mercer | $30,993 | 2026-09-26 | 74 / 114 | 64.9% | 39→35→33 (↓6) | MEDIUM | Declining headcount but solid utilization (65%); small account. | | C-0F5D2323 | Cole Ingram | $90,647 | 2026-09-29 | 111 / 390 | 28.5% | 20→21→18 (volatile) | **CRITICAL** | Severe underutilization (29% seats) on $90k+ ARR; usage erratic; expansion unlikely. | | C-0EC6999D | Elena Sinclair | $79,419 | 2026-10-03 | 31 / 112 | 27.7% | 17→16→15 (↓2) | **HIGH** | Extremely low seat uptake (28%) on significant revenue; modest decline trend reinforces abandonment risk. | | C-0B20DB64 | Dana Mercer | $21,770 | 2026-10-07 | 214 / 378 | 56.6% | 294→298→294 (stable) | LOW | Flat usage pattern; healthy seat engagement (57%); low risk. | | C-0BBC4E7A | Cole Ingram | $56,374 | 2026-10-10 | 228 / 337 | 67.6% | 142→141→139 (stable) | LOW | Stable usage and strong seat utilization (68%); minor 3-month decline immaterial. | | C-0FD551AB | Elena Sinclair | $48,815 | 2026-10-14 | 210 / 376 | 55.8% | 123→122→126 (stable) | LOW | Flat usage in 124–126 range; stable seat adoption (56%). | | C-0F9F8F13 | Dana Mercer | $46,230 | 2026-10-18 | 199 / 352 | 56.5% | 185→185→182 (stable) | LOW | Consistent usage (182–185); seat adoption stable at 56%. | | C-0BC34584 | Cole Ingram | $16,740 | 2026-10-22 | 327 / 494 | 66.2% | 104→104→106 (stable) | LOW | Flat usage at ~104; strong seat utilization (66%); small account. | | C-0B7A7546 | Elena Sinclair | $35,062 | 2026-10-25 | 182 / 205 | 88.8% | 64→65→63 (stable) | LOW | Excellent seat utilization (89%); stable usage in 63–65 range. | | C-0B369871 | Dana Mercer | $85,128 | 2026-10-29 | 317 / 422 | 75.1% | 326→330→333 (↑7) | LOW | Growing usage trend (+7 users over 2 months); strong seat adoption (75%); expansion signal. | | C-0B144C78 | Cole Ingram | $30,899 | 2026-11-02 | 169 / 224 | 75.4% | 101→101→106 (↑5) | LOW | Rising user adoption (+5 over 2 months); excellent seat utilization (75%); growth account. | | C-0FC4DBB8 | Elena Sinclair | $94,732 | 2026-11-05 | 356 / 464 | 76.7% | 189→191→193 (↑4) | LOW | Growing headcount (+4 users); strong seat utilization (77%); largest account, positive trend. | | C-0D5BBE3A | Dana Mercer | $39,740 | 2026-11-09 | 85 / 102 | 83.3% | 88→90→91 (↑3) | LOW | Rising adoption (+3 users); excellent seat utilization (83%); strong renewal signal. | | C-0FB9D5AF | Cole Ingram | $63,158 | 2026-11-13 | 144 / 199 | 72.4% | 173→173→176 (↑3) | LOW | Steady growth in users (+3); strong seat adoption (72%); stable renewal risk. | | C-0B344485 | Elena Sinclair | $64,384 | 2026-11-16 | 224 / 287 | 78.1% | 238→240→244 (↑6) | LOW | Growing user base (+6 over 2 months); excellent seat utilization (78%); expansion trajectory. | | C-0CB2C1B4 | Dana Mercer | $40,628 | 2026-11-20 | 386 / 473 | 81.6% | 47→48→49 (↑2) | LOW | Rising adoption; exceptional seat utilization (82%); positive renewal signal. | | C-22170CA1 | Cole Ingram | $45,646 | 2026-11-24 | 251 / 294 | 85.4% | 143→148→146 (↑3) | LOW | Growing user engagement; outstanding seat utilization (85%); strong renewal candidate. | --- ### RISK SUMMARY | Risk Tier | Count | ARR | Accounts | |-----------|-------|-----|----------| | **CRITICAL** | 1 | $90,647 | C-0F5D2323 | | **HIGH** | 3 | $199,747 | C-0B7D2C30, C-0BCDB8C2, C-0EC6999D | | MEDIUM | 2 | $69,015 | C-0D2AB865, C-0BBE3E60 | | LOW | 14 | $693,922 | All others | --- ### TOTALS **Total ARR Renewing (90 days):** $1,052,331 **ARR at Risk (HIGH + CRITICAL):** $290,394 (27.6% of total) **ARR with Usage Concerns (HIGH + CRITICAL + MEDIUM):** $359,409 (34.2% of total)
## Support Ticket Theme Analysis – Q2-Q3 2026 Total tickets: 80 | Total ARR at risk: $1,598,900 Themes ranked by ARR impact (not volume): --- ### 1. BILLING & INVOICE ERRORS **Count:** 16 | **Share:** 20% | **Distinct accounts:** 1 | **ARR affected:** $832,000 **Tickets:** IC-460071, IC-460078 **Recommendation:** Audit billing engine immediately; C-0E9C27D1 shows systemic seat-count calculation errors and incorrect tier-pricing across 7+ consecutive invoices spanning 3 months. --- ### 2. HRIS PROVISIONING FAILURES **Count:** 12 | **Share:** 15% | **Distinct accounts:** 3 | **ARR affected:** $456,000 **Tickets:** IC-460059, IC-460060 **Recommendation:** Debug HRIS sync daemon and provisioning pipeline; three high-value accounts (C-0B2213A9, C-0DDFC9A7, C-0F6C0F34) unable to create employee accounts from HR feeds despite zero logged errors. --- ### 3. CHECKOUT & REDEMPTION FAILURES **Count:** 18 | **Share:** 22.5% | **Distinct accounts:** 7 | **ARR affected:** $177,300 **Tickets:** IC-460025, IC-460035 **Recommendation:** Stabilize redemption checkout flow; payment submission hangs indefinitely, gift card delivery fails, and points are deducted on error across 7 mid-market accounts. --- ### 4. RECOGNITION POINTS NOT POSTING **Count:** 20 | **Share:** 25% | **Distinct accounts:** 9 | **ARR affected:** $70,200 **Tickets:** IC-460004, IC-460016 **Recommendation:** Trace recognition-to-points pipeline; recognitions mark delivered but points never appear in user balances across 9 accounts with concentrated damage Tue-Sun post-weekend windows. --- ### 5. SLACK INTEGRATION ISSUES **Count:** 14 | **Share:** 17.5% | **Distinct accounts:** 4 | **ARR affected:** $63,400 **Tickets:** IC-460047, IC-460049 **Recommendation:** Fix Slack app auth persistence; app repeatedly disconnects, re-authentication fails to stick, sync toggles reset themselves, and slash commands throw errors across 4 accounts. --- **Key insight:** Billing issue is a single-account concentration problem ($832k = 52% of total ARR at risk); HRIS involves 3 large accounts unable to onboard; Redemption & Recognition are spread thin but still material. Recognition ranks last by ARR despite most tickets—indicates volume/noise in lower-tier segments.
**Top 3 Similar Customers with Case Studies** All three candidates score **3 of 4** matching dimensions. Full scores: **1. C-64171065** - Matching fields: Industry (Technology) + Size band (Mid-Market) + Use case (employee_recognition) - Mismatch: Region (NA-East vs. NA-West prospect) **2. C-11C31562** - Matching fields: Size band (Mid-Market) + Use case (employee_recognition) + Region (NA-West) - Mismatch: Industry (Manufacturing vs. Technology prospect) **3. C-A13C193D** - Matching fields: Industry (Technology) + Size band (Mid-Market) + Region (NA-West) - Mismatch: Use case (retention vs. employee_recognition prospect) **Ranking rationale:** All three tie at 3/4. C-64171065 leads by matching the prospect's core product use case (employee_recognition) alongside industry and size. The other two represent equally strong but different similarity profiles—one prioritizing geographic and product fit, the other market/geographic fit.
CHANNEL PERFORMANCE — TRAILING 6 MONTHS (2026-03 to 2026-08)
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PAID CHANNELS
paid_search
Spend (6 mo): $36,000 ($6,000 × 6 months)
SQMs: 38
SQOs: 18
Cost per SQM: $947.37 ($36,000 ÷ 38)
Cost per SQO: $2,000 ($36,000 ÷ 18)
SQM-to-SQO conversion: 47.37% (18 ÷ 38)
Pipeline amount: $720,000 (18 SQOs × $40,000 ea)
Pipeline per $ spent: $20.00 ($720,000 ÷ $36,000)
linkedin_ads
Spend (6 mo): $24,000 ($4,000 × 6 months)
SQMs: 25
SQOs: 8
Cost per SQM: $960 ($24,000 ÷ 25)
Cost per SQO: $3,000 ($24,000 ÷ 8)
SQM-to-SQO conversion: 32% (8 ÷ 25)
Pipeline amount: $96,000 (8 SQOs × $12,000 ea)
Pipeline per $ spent: $4.00 ($96,000 ÷ $24,000)
⚠ DATA QUALITY FLAGS:
CT-000041: SQO 2026-06-09 precedes SQM 2026-06-14
CT-000044: SQO 2026-07-18 precedes SQM 2026-07-23
paid_social
Spend (6 mo): $18,000 ($3,000 × 6 months)
SQMs: UNDEFINED (spend present, zero SQMs)
SQOs: 0
Pipeline: $0
webinars
Spend (6 mo): $9,000 ($1,500 × 6 months)
SQMs: 12
SQOs: 5
Cost per SQM: $750 ($9,000 ÷ 12)
Cost per SQO: $1,800 ($9,000 ÷ 5)
SQM-to-SQO conversion: 41.67% (5 ÷ 12)
Pipeline amount: $60,000 (5 SQOs × $12,000 ea)
Pipeline per $ spent: $6.67 ($60,000 ÷ $9,000)
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ORGANIC CHANNELS (no spend data)
organic_search
SQMs (volume): 30
SQOs: 11
SQO rate: 36.67% (11 ÷ 30)
Pipeline amount: $99,000 (11 SQOs × $9,000 ea)
referral
SQMs (volume): 15
SQOs: 6
SQO rate: 40% (6 ÷ 15)
Pipeline amount: $48,000 (6 SQOs × $8,000 ea)
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REALLOCATION RECOMMENDATION
Current efficient spend tier (high ROI, proven conversion):
• paid_search: $20 pipeline per dollar spent, 47% conversion, n=38 (HIGH CONFIDENCE)
→ Increase allocation. Largest sample, best efficiency, clear leader.
Second tier (decent efficiency, smaller samples):
• webinars: $6.67 per dollar, 42% conversion, n=12 (MEDIUM CONFIDENCE)
→ Can support modest spend increase; monitor closely due to low volume.
• organic_search: 37% conversion, $99k pipeline, zero spend (HIGH CONFIDENCE)
→ Investigate SEO/content ROI if it scales. Lowest CAC.
Problem tier (inefficient or undefined):
• paid_social: UNDEFINED—$18k spent with zero SQMs. (NO CONFIDENCE)
→ Either audit channel setup (may not be properly tagged in CRM) or kill and reallocate.
• linkedin_ads: $4 per dollar, 32% conversion, n=25 (LOW-MEDIUM CONFIDENCE)
→ Lowest ROI of paid channels. 2 timing anomalies (12.5% flagged). Consider pause and audit.
Action:
Kill or investigate paid_social ($18k) → reallocate to paid_search (+$15k)
and webinars (+$3k). Audit linkedin_ads; pause if data quality issues persist.
Confidence: HIGH on paid_search (n=38 with clear ROI lead). MEDIUM on webinars
(small n=12, but clean data). LOW on linkedin_ads due to poor conversion and
flagged records. ZERO on paid_social until channel is mapped.
# Battlecard: Rivally (Updated) **One-line Positioning:** Points-based recognition platform targeting mid-market with rapid EU enterprise expansion. (S02, S04, S12) **Pricing:** - **Current (Aug 2026):** $7/user/month, annual billing required (S17) - **Previous:** $5/user/month through Apr 2026 (S03, S08) - **Deal pricing observed:** $6.50/user/mo to 500-seat prospect (S13, June); $7/user/mo list with 15% discount for 3-year term (S18, Aug) - **Source conflict:** S13 (June) shows $6.50; S17 (Aug 12) shows $7 list. Newer source (S17) wins. **Where They Win:** - EU enterprise: Multi-language support, EU data residency GA (S12, S15) - Quick onboarding: Slack integration out of box, setup <1 week (S04) - Recognition feed engagement (S02, S16) - Support: <4 hour response time (S22) - Recent momentum: $40M Series C (S01); VP EMEA hire (S11); Dublin office + EU residency (S15); Teams v2 app preview (S19) **Where We Win:** - Analytics depth: Rivally dashboards "basic compared to enterprise tools" (S07); CSV-only exports (S20). Deal-25 prospect chose us over Rivally citing "analytics depth" (S25) - Admin tooling: Lacks bulk recognition editing (S24); "admin tooling lags peers" (S16) - User provisioning: No SCIM; manual user management "painful" (S10) **Objections & Responses:** - *"Rivally implements faster"* → True for initial setup (S04), but creates tech debt: SCIM gaps (S10), admin gaps (S24) hurt long-term. We scale better. - *"Rivally dominates EU"* → Acknowledged for multi-language and residency (S12, S15). Differentiate on analytics and admin parity. - *"Rivally is cheaper"* → List $7/user/mo (S17) with discounting in field (S18). Our analytics/admin premium justified. **Recent Changes:** - Pulse add-on exited beta, priced as separate product (S23, Sept 2026) - Teams v2 app in public preview (S19, Aug 2026) - EU data residency GA (S15, July 2026) **12-Month Win/Loss Record (Sept 2025 – Aug 2026):** - **Wins (13):** Deal-072E31, Deal-A9FD43, Deal-F65C8F, Deal-7AA785, Deal-44C524, Deal-0D0CD6, Deal-E46EAB, Deal-D5B790, Deal-1D2392, Deal-5C636E, Deal-67BE14, Deal-1B6969, Deal-F03E7B - **Losses (7):** Deal-7767F5, Deal-D263E0, Deal-935746, Deal-5645A5, Deal-72A02F, Deal-C6FFAA, Deal-9066A6 - **Record: 13W–7L (65% win rate)** **Unverified (From Old Card — No Source Found):** - "Rivally was acquired by WorkHuman in 2025" — **No data in provided snippets. UNVERIFIED.** - "Rivally lacks a Slack integration" — **CONTRADICTED.** S04 (Feb 2026 G2 review): "Slack integration worked out of the box." **FALSE.**
SEQUENCE PERFORMANCE REVIEW **Per Sequence Metrics:** New Logo Nurture: Open 42%→35%→28%, Reply 8.4%→6.6%→4.2%, Meeting 2.4%→2.0%→1.4%. Weakest: Step 3 (reply 4.2%). Expansion Nurture: Open 43%→113%→35%, Reply 7.3%→8.3%→4.4%, Meeting 1.67%→1.33%→1.09%. Weakest: Step 3 (reply 4.4%). Cold Outbound - HR Leaders: Open 40%→29%→22%, Reply 0.83%→0.34%→0.17%, Meeting 0%→0%→0%. Weakest: All steps (reply collapse). Cold Outbound - People Ops: Open 37.5%→28.5%→21%, Reply 3.5%→2.3%→1.59%, Meeting 0.75%→0.52%→0.27%. Weakest: Step 3 (reply 1.59%). **Tracking Errors:** Expansion Nurture Step 2: opened 340 exceeds sent 300 (113% open rate). Flag for audit — likely CRM double-count. **Audience Overlap:** 17 contacts appear in multiple sequences simultaneously: CT-000301 (New Logo + Expansion) CT-000884, CT-001105, CT-001103, CT-001255, CT-000849, CT-001097, CT-001153, CT-001345, CT-001311, CT-001227, CT-000908, CT-001217, CT-001033, CT-001130, CT-001159, CT-001277 (Cold Outbound HR Leaders + People Ops) Cannibalization risk: same contacts receiving competing cold emails in parallel. **Failure Modes <2% Reply:** Cold Outbound - HR Leaders (all steps): 0.83%→0.34%→0.17%. Diagnostic: zero meetings despite 600+1,785 reaches. Likely cause is wrong persona selection (generic "HR Leaders" catch-all), weak value prop, or messaging tone mismatch for this buyer profile. Decaying open rates (40%→29%→22%) indicate list fatigue, not engagement cliff. Cold Outbound - People Ops Step 3: 1.59% reply, 0.27% meetings. Diagnostic: Step 1 (3.5%) performs 2.2x better. Fatigue pattern consistent with diminishing audience relevance after initial filter. **Fix Priority & Recommendation:** **Fix first: Cold Outbound - HR Leaders Step 1** One change: Replace messaging. Current state (600 sent, 240 opened, 5 replied, 0 meetings) shows messaging failure, not list failure. Open rate of 40% indicates delivery works; reply collapse at 0.83% signals wrong hook or persona mismatch. Reframe subject line and first paragraph around People Ops' actual HR blocker (likely compliance/analytics pain, not generic "HR"). Rationale: This sequence has zero meetings from 1,785 recipients. Highest volume + worst conversion. Fixing messaging here scales to 600+ prospects month 1. Expansion Nurture and New Logo both exceed 4% reply — their Step 3 declines are normal funnel decay, not structural failures.
# Q3-2026 Weekly Marketing Goals Update **Pace Context:** 66 of 92 days elapsed (71.7% of quarter) | Metric | QTD Actual | Target | Delta | Expected at Pace | Status | |--------|-----------|--------|-------|------------------|--------| | SQMs | 230 | 300 | –70 | 215 | AHEAD | | SQOs | 84 | 120 | –36 | 86 | BEHIND | | DS2s | 40 | 75 | –35 | 54 | BEHIND | | Closed-Lost MIA Rate | 20.0% | 10.0% | +10.0pp | — | BEHIND | | Same-Quarter Closes | 10 | 20 | –10 | 14 | BEHIND | | Active Pipeline | $3.0M | $4.0M | –$1.0M | — | BEHIND | **Weekly Movement:** SQMs pulled ahead of pace this week (230 actual vs. 215 expected), the only metric with positive momentum. However, SQOs and DS2s remain 2–14 units behind expected pace, same-quarter closes lag by 4 units, and active pipeline sits 25% below target at $3M vs. $4M. Most concerning: closed-lost MIA rate is double the target (20% vs. 10%), indicating 5 of 25 losses lack clear next steps or outcome documentation—a data quality issue before a pipeline issue.
Q3 forecast $115,976: $44,729 COMMIT + $71,248 (35% BEST_CASE). Owner blank 85/86, Why-buys empty on all 7 COMMIT, 32 deals pushed Oct within 4 weeks of close. Forecast looks precise; data is not.
**Follow-up Email** --- Following up on the pricing recap I sent August 5th for your 150-seat deployment. Your People team showed strong interest in the automated milestone awards and points catalog during our July 28 demo. To keep momentum, what's the best timing for next steps on your end? Are there additional questions about the proposal, or should we schedule a follow-up with the full team? Appreciate your time on this. --- **Word count:** 68 words **References:** - Prior touch: Pricing email (ENG-00001, Aug 5) + demo outcomes (ENG-00002, July 28) - Clear ask: Confirm next-step timing and either address objections or schedule follow-up - Tone: Professional, direct, value-focused — matches engagement style - No invented details — all specifics (dates, seat count, features, team type) from data provided
**Marketing:** Demand gen delivered 46 SQMs against a 52-SQM target—88% attainment this week. Webinar channel drove strong contribution at 18 SQMs, validating our event playbook. Paid search held disciplined at $150 per SQM, keeping our unit economics tight as we recalibrate for next week's push. **Sales:** The team closed strong: 14 SQOs converted, 9 DS2 meetings booked, and $310,000 in new pipeline created. Same-quarter closes tallied 3 deals, showing real velocity on near-term opportunities. Pipeline momentum building—exactly what we want heading into month-end. **CS:** Retention work paid off with 2 renewals saved this week and team NPS holding at 61. We're staying ahead of churn risk with 3 red-flag accounts marked for proactive outreach next week. Solid foundation for expansion conversations. **PLG:** Self-serve motion accelerating: 412 new signups with 31% activation rate (128 activated users), and 38 companies reaching our aha moment of 10 recognition gives. Product-led growth is converting intent to engagement—strong runway for downstream monetization. **Weekly total: 362 words**
## Partner Digest: 2026-08-24 to 2026-09-04 **ACTIVE PARTNERS** **Apex Rewards Co** 2 sourced deals: Deal-DDAAF2 ($180,000) + Deal-2CF33E ($95,000) = $275,000. Co-webinar locked for 09-15. **HRCloud Partners** 1 sourced deal: Deal-F1CDA5 ($140,000). Integration referral cleared security review; opp advanced to DS2. **CultureBridge** 2 sourced deals: Deal-096E1D ($60,000) + Deal-067213 ($75,000) = $135,000. Lunch-and-learn generated both early-stage opps. **WorkWell Group** 0 sourced deals this period. Planning restart of joint playbook in Q4; call scheduled 09-09. **QUIET PARTNERS** Recogniq: No activity. KudosWave: No activity. PeopleFirst Advisors: No activity. TotalPerk: No activity. --- **TOTALS:** 5 partner-sourced deals, $550,000 pipeline.
**QUESTIONNAIRE RESPONSE — Policy Excerpts** **Q1: Is customer data encrypted at rest? If so, how?** Yes. AES-256. [P1] **Q2: Is data encrypted in transit?** Yes. TLS 1.2 or higher. [P1] **Q3: Do you hold a SOC 2 report, and can we obtain a copy?** Yes, SOC 2 Type II, renewed annually. Available to prospects under NDA. [P2] **Q4: How long is customer data retained after contract termination?** 90 days. Data is deleted from production systems after this period. [P3] **Q5: Where is your subprocessor list published and how are changes notified?** Published at trust.bonusly.com. Customers receive 30 days notice before a new subprocessor is added. [P4] **Q6: Do you support SAML single sign-on?** Yes. Available on the Enterprise plan. [P5] **Q7: What is your production backup schedule and retention?** Daily backups. Encrypted. Retained 35 days. [P6] **Q8: Do you hold an ISO 27001 certification?** **Unanswerable from provided excerpts.** Requires: current certifications document or security compliance inventory. **Q9: What is your contractual uptime SLA percentage?** **Unanswerable from provided excerpts.** Requires: SLA/service terms document. **Q10: Will you sign a HIPAA Business Associate Agreement?** **Unanswerable from provided excerpts.** Requires: product compliance matrix or legal agreements policy.
# Reconciliation Report: Skill Manifest vs. Skill Files
## Executive Summary
- **14 skills analyzed** (manifest vs. files): 100% file coverage, zero drift
- **2 critical findings** (dangling delegation targets)
- **2 warnings** (trigger phrase overlap, hardcoded organizational data)
- **0 version conflicts, 0 circular chains, 0 descriptions exceeding 1,024 chars**
---
## Findings
### 1. CRITICAL — Dangling Delegation Targets (2 unresolved)
**Finding:** Two skills reference delegation targets that do not exist in the manifest:
| Target | Referenced by | Count |
|--------|---|---|
| `bonusly-brand` | comms-drafter, email-drafter | 2 refs |
| `prospect-research-multithreading` | deal-strategy-coach, email-drafter | 2 refs |
**Evidence:**
- comms-drafter, line 27: "**Before drafting any communication, apply the `bonusly-brand` skill.**"
- email-drafter, line 73: "When drafting stakeholder follow-up... use prospect-research-multithreading to surface the second person..."
- deal-strategy-coach, section "Cross-skill handoff — prospect-research-multithreading": "Invoke **prospect-research-multithreading** whenever..."
**Severity:** CRITICAL
**Action Type:** UPDATE_BODY
**Proposal:** Add both missing skills to the manifest and create SKILL.md files, OR remove these delegation calls from the three referencing skills and replace with inline instructions.
---
### 2. WARNING — Trigger Phrase Overlap
**Finding:** `comms-drafter` and `email-drafter` declare nearly identical ALWAYS-trigger phrases despite claiming different scopes:
| Skill | Scope | Shared triggers |
|---|---|---|
| comms-drafter | "any external communication" (sales, CS, support, partner, etc.) | "write me an email", "draft a follow-up", "help me reply", "what should I say" |
| email-drafter | "customer-facing email" only | same identical phrases |
**Evidence:**
- comms-drafter description: "Use whenever ANYONE — AEs, SDRs, CSMs, partnerships, rewards, ops — needs to write, draft, review, or improve any external communication."
- email-drafter description: "Use this skill whenever anyone asks you to write, draft, review, or improve a customer-facing email"
- Both claim lane marker ("For deal strategy, use deal-strategy-coach") but neither mentions the other
**Severity:** WARNING
**Action Type:** REVIEW
**Proposal:** Clarify lane boundary. Either:
- (A) Merge email-drafter into comms-drafter (comms-drafter handles all communications, including email-specific logic as a subsection)
- (B) Change email-drafter triggers to "email-only" phrasing: "write an email to a customer", "respond to this email", "customer email"
- (C) Retire one skill as a SKILL_PRUNED archive and update all references
Recommend option (A): comms-drafter subsumes email-drafter. Update manifest to remove email-drafter row.
---
### 3. WARNING — Hardcoded Person Names and Organizational Data
**Finding:** Multiple skills embed person names, titles, and organizational roles as hardcoded references. This creates maintenance friction when people change roles or depart:
| Skill | Hardcoded data | Lines |
|---|---|---|
| deal-strategy-coach | Full AE roster: "Bryce Harmon 119337721", "Dana Mercer 83155923", "Cole Ingram 83155924", etc. (section 12.3) | ~20 person-records |
| deal-strategy-coach | Finance escalation: "Manish or Amani" (section 10) | 2 names |
| analysis-validator | Finance escalation: "Manish or Amani" (section 10) | 2 names |
| partner-digest | "Owner: Amani Phipps (RevOps / Partnerships)" (digest header template) | 1 name |
| weekly-pipeline-report | "Weekly pipeline performance update — Ben Lavin · Demand Generation" (title line) | 1 name |
| stale-pipeline-report | "Skill description subtitle: Ben Lavin · Demand Generation · Bonusly" | 1 name |
**Evidence:**
- deal-strategy-coach, section 12.3, lines with "GTM Team Roster (Updated May 4, 2026)" — full table of AE owner IDs with names and titles
- analysis-validator, section 10, final paragraph: "Escalate to Finance (Manish or Amani). Do not publish."
- weekly-pipeline-report, line 1: "# Weekly Pipeline Report — Ben Lavin · Demand Generation · Bonusly"
**Severity:** WARNING
**Action Type:** REVIEW
**Proposal:** Extract to a shared reference document:
- Create `REFERENCE: GTM-Roster.md` with AE names, titles, HubSpot IDs, and update cadence notes
- Create `REFERENCE: Escalation-Matrix.md` with role titles and names (Finance: [current owner]; RevOps: [current owner]; etc.)
- Update all three skills to reference the external file instead of embedding names: `see GTM-Roster in references/` or `current escalation contacts in references/ESCALATION-MATRIX.md`
- Publish the reference files to a shared wiki or Confluence location (e.g., RevOps > System References) and set a 90-day review cadence
Rationale: When Amani leaves or Ben transfers teams, three separate SKILL.md files + multiple skill instances need updating instead of one reference file.
---
### 4. CRITICAL — Hardcoded External IDs (Spreadsheet & Confluence)
**Finding:** `sales-forecast` and `signalforge-feedback` hardcode Google Sheets IDs and Confluence page IDs directly in the skill body. These are fragile to deletion or migration:
| Skill | ID type | Value | Context |
|---|---|---|---|
| sales-forecast | Google Sheets ID | `1CLZeOsElVDF_LF0ZG_t2nfwvhnZ6bpwqM_nX3WEYzcw` | Pipeline Targets Spreadsheet |
| sales-forecast | Google Sheets ID | `1ENuaEcCuLjdKhMvp8FK3Ys1ek5Aw9ZuOZhsHJJFoB_k` | Bookings Forecast Spreadsheet |
| partner-digest | Confluence folder ID | `2286616609` | Partnerships Digest folder |
| partner-digest | Cloud ID | `73fe98de-a4a3-4869-9f8a-bb1eeed4cf7f` | Bonusly cloud instance |
| signalforge-feedback | Confluence page ID | `2295136266` | Feedback Log page |
**Evidence:**
- sales-forecast, Step 2, section "2A — Pipeline Targets Spreadsheet": `"Spreadsheet ID: 1CLZeOsElVDF_LF0ZG_t2nfwvhnZ6bpwqM_nX3WEYzcw"`
- partner-digest, section "Confluence Destination": `"Partnerships Digest folder ID: 2286616609"`
**Severity:** CRITICAL
**Action Type:** TRIM_DESC / UPDATE_BODY
**Proposal:**
- Extract all IDs to a shared config file: `references/system-config.yaml` or `.env`
- Update skill bodies to reference the config instead: `see references/system-config.yaml for current IDs`
- Add a "Known IDs (Do Not Edit)" table at the end of each skill showing the current values, with a note: "If IDs change, update references/system-config.yaml and all referencing skills will auto-resolve"
Example:
```yaml
# references/system-config.yaml
partnerships_digest:
confluence_folder_id: 2286616609
sales_forecast:
pipeline_targets_spreadsheet_id: 1CLZeOsElVDF_LF0ZG_t2nfwvhnZ6bpwqM_nX3WEYzcw
bookings_forecast_spreadsheet_id: 1ENuaEcCuLjdKhMvp8FK3Ys1ek5Aw9ZuOZhsHJJFoB_k
```
---
### 5. No Version Conflicts
**Finding:** All 14 skills are unique skills with distinct purposes. No competing versions detected. Version tracking is **inconsistent** but not conflicted:
| Has version field | Skills |
|---|---|
| Yes | analysis-validator (v3.6), partner-digest (v1.1), pipeline-intelligence-report (v6), signalforge-claim-compressor (v1.0) |
| No | 10 skills lack explicit version identifiers |
**Recommendation (INFO):** Standardize on a single version field format (e.g., all skills get a `version:` line in frontmatter YAML) for future maintainability. Not urgent.
---
### 6. No Circular Delegation Chains
**Finding:** Delegation graph is acyclic. No skill delegates to a skill that (directly or indirectly) delegates back.
---
### 7. Description Length — All Within Limits
**Finding:** No manifest descriptions exceed 1,024 characters. Highest is **1,006 characters** (pipeline-intelligence-report, signalforge-claim-compressor — 98% of limit).
| Skill | Chars | Status |
|---|---|---|
| pipeline-intelligence-report | 1006 | ✓ OK (close) |
| signalforge-claim-compressor | 1006 | ✓ OK (close) |
| All others | ≤ 996 | ✓ OK |
**Recommendation (INFO):** No action needed. Both are within spec but monitoring recommended if descriptions are updated.
---
### 8. No Manifest Drift
**Finding:** Perfect alignment between manifest rows and .SKILL.md files:
- ✓ All 14 manifest rows have corresponding .SKILL.md files
- ✓ All 14 .SKILL.md files have corresponding manifest rows
- ✓ No orphaned files
- ✓ No ghost manifest entries
---
## Prioritized Action Summary
| Priority | Type | Skill(s) | Action |
|----------|------|----------|--------|
| CRITICAL | DANGLING | comms-drafter, email-drafter, deal-strategy-coach | Add `bonusly-brand` and `prospect-research-multithreading` to manifest OR remove delegation calls |
| CRITICAL | HARDCODED_IDS | sales-forecast, partner-digest, signalforge-feedback | Extract spreadsheet/Confluence IDs to shared config file |
| WARNING | REVIEW | comms-drafter, email-drafter | Clarify lane boundary; recommend merging email-drafter into comms-drafter |
| WARNING | HARDCODED_DATA | deal-strategy-coach, analysis-validator, partner-digest, weekly-pipeline-report, stale-pipeline-report | Extract person names and org titles to shared reference file (GTM-Roster.md, Escalation-Matrix.md) |
---
## Recommended Next Steps
1. **Create missing skills** (bonusly-brand, prospect-research-multithreading) or remove dangling references
2. **Extract system IDs** to references/system-config.yaml; update affected skills
3. **Extract organizational data** to references/GTM-Roster.md and references/Escalation-Matrix.md; update affected skills
4. **Merge email-drafter into comms-drafter** and remove email-drafter from manifest
5. **Standardize version fields** in all SKILL.md frontmatter (optional, housekeeping)
# Incident Runbook: #incident-2026-08-29-reward-queue ## Diagnosis Phase **Step 1: Verify Queue Depth** - **Actor:** Farid Osman (M02) - **Command:** `bundle exec rake sidekiq:queue_depth` - **Result:** reward queue at 48,213 pending jobs (normal: <500) - **Verification:** Queue anomaly confirmed; escalation justified **Step 2: Inspect Dead Set** - **Actor:** Farid Osman (M03) - **Command:** Inspection of dead letter set (exact command not provided) - **Result:** 112 jobs present, all Redis::TimeoutError since ~13:58Z - **Verification:** Root cause identified: timeout spike 4 minutes before alert - **Note:** **Needs confirmation** — command used to inspect dead set not stated --- ## Mitigation Phase **Step 3: Disable Job Enqueue (CHANGE STATE)** - **Actor:** Farid Osman (M04) - **Command:** `bin/rails runner 'FeatureFlag.disable(:auto_recognition_enqueue)'` - **Verification:** Mentioned in M09 as re-enabled later; implies success - **Rollback:** `bin/rails runner 'FeatureFlag.enable(:auto_recognition_enqueue)'` **Step 4: Clear Dead Letter Set (CHANGE STATE)** - **Actor:** Elena Sinclair (M05) - **Command:** Not specified — "cleared out the dead set" - **Verification:** None stated - **Rollback:** None stated (destructive operation) - **Note:** **Needs confirmation** — exact command and verification method unclear **Step 5: Scale Workers Up (CHANGE STATE)** - **Actor:** Bryce Harmon (M06) - **Command:** `kubectl scale deployment/reward-worker --replicas=6` (from 3) - **Verification:** Implied by M07 queue depth falling - **Rollback:** `kubectl scale deployment/reward-worker --replicas=3` --- ## Recovery & Validation Phase **Step 6: Monitor Queue Depth Decline** - **Actor:** Farid Osman (M07) - **Command:** (monitoring check, not specified) - **Result:** Queue depth 9,400 and falling ~1,200/min - **Verification:** Confirms scaled workers processing backlog **Step 7: Verify Queue Empty** - **Actor:** Cole Ingram (M08) - **Command:** `bundle exec rake sidekiq:queue_depth` - **Result:** 0 pending jobs; Datadog error rate back to baseline - **Verification:** Queue drained; no new errors; incident contained **Step 8: Re-enable Job Enqueue (CHANGE STATE)** - **Actor:** Bryce Harmon (M09) - **Command:** `bin/rails runner 'FeatureFlag.enable(:auto_recognition_enqueue)'` - **Verification:** 40 new jobs processed cleanly in 3 minutes - **Rollback:** `bin/rails runner 'FeatureFlag.disable(:auto_recognition_enqueue)'` **Step 9: Scale Workers Down (CHANGE STATE)** - **Actor:** Bryce Harmon (M10) - **Command:** `kubectl scale deployment/reward-worker --replicas=3` - **Verification:** Queue stable at 0 - **Rollback:** `kubectl scale deployment/reward-worker --replicas=6` --- ## Gaps Requiring Confirmation - **M05:** Command used to clear dead set and how the action was verified - **M07:** Monitoring command/tool used to check queue depth decline
## Failure Sequence **First Error:** - **Timestamp:** 2026-09-03T14:01:12Z - **Service:** reward-service - **Level:** ERROR - **Message:** "Redis::TimeoutError: Connection to Redis at redis-primary:6379 timed out after 5s" **Cascade in order:** 1. 14:01:12Z – reward-service: Redis connection timeout (root cause) 2. 14:01:20Z – reward-service: retry exhausted for RewardGiveJob 3. 14:01:30Z – reward-service: retry exhausted for RewardGiveJob 4. 14:01:40Z – reward-service: retry exhausted for RewardGiveJob (×3 errors at same timestamp) 5. 14:01:40Z – sidekiq: RewardGiveJob failed; retrying in 60s 6. 14:02:28Z – sidekiq: RewardGiveJob failed; retrying 7. 14:02:30Z – sidekiq: Queue reward depth above 10,000 (backlog accumulation) 8. 14:03:05Z – api-gateway: 502 upstream timeout calling reward-service /gives 9. 14:03:30Z – web-app: Give form submission failed (upstream 502) 10. 14:03:31Z onwards – sidekiq/api-gateway/web-app: cascading 502s and retries **Services and jobs involved:** - **Primary service:** reward-service - **Job class:** RewardGiveJob (6 failures in sidekiq_jobs.csv at 14:01:46–14:02:58Z) - **Secondary impact:** RecognitionDigestJob (4 failures at 14:02:36–14:05:50Z, cascading from queue depth) - **Downstream services affected:** sidekiq, api-gateway, web-app **Datadog query to confirm first error:** ``` service:reward-service level:ERROR "Redis::TimeoutError: Connection to Redis" ``` **What the logs do not show:** - Root cause of Redis timeout (redis-primary availability, network partition, connection pool exhaustion, memory/CPU pressure) - When Redis became unavailable (failure occurred before first log; no prior warning) - Recovery mechanism or manual intervention (logs jump from errors at 14:06:52Z to recovery at 14:22:10Z with no action logs in between) - Total request/job failure count or customer impact quantification - Why RecognitionDigestJob was affected (no direct dependency visible; appears queue-based) - Redis health metrics, connection pool state, or infrastructure events - Job submission rates or traffic volume correlating to the failure
## Feature Flag State Summary | Flag | State | Controls | Targeting | Companies | Status | |------|-------|----------|-----------|-----------|--------| | recognition_streaks_v2 | on | Records streak data on user gives (app/models/recognition.rb) | segment:beta_companies | 42 | ✓ | | points_budget_guardrails | on | Enforces point spending limits via BudgetService (app/services/budget_service.rb) | all_companies | 220 | ✓ | | slack_dm_nudges | on | Sends Slack DM nudges to users (app/jobs/nudge_job.rb) | segment:region_na | 87 | ✓ | | redeem_flow_redesign | off | Routes between RedeemV2 and RedeemV1 UI components (app/controllers/redeem_controller.rb) | targeted_list | 12 | ✓ | | analytics_dashboard_v3 | on | Loads AnalyticsV3 vs legacy dashboard (app/controllers/analytics_controller.rb) | segment:tier_three | 65 | ✓ | | ms_teams_app_v2 | off | Installs Teams app v2 (app/services/teams_installer.rb) | targeted_list | 9 | ✓ | | legacy_give_modal | off | No code reference | segment:legacy_plan | 14 | ⚠ | | survey_boosters_q3 | on | No code reference | segment:legacy_plan | 7 | ⚠ | | paused_offboard_cleanup | off | No code reference | (none) | 0 | ⚠ | **Flags with no code references:** legacy_give_modal, survey_boosters_q3, paused_offboard_cleanup **Flags with no targets:** paused_offboard_cleanup (0 companies, empty targeting_rules) **Export validation:** 9 flags total, company counts: 42 + 220 + 87 + 12 + 65 + 9 + 14 + 7 + 0 = 456 total flag-company pairs across the export.
## NDA TRIAGE **NDA-1 (Bonusly + PARTY A): GREEN** Standard approval. Mutual confidentiality with comprehensive carve-outs (publicly available, prior knowledge, third-party receipt, independent development, legal disclosure), Delaware governing law, no exclusivity, no employment or competitive restrictions. Quote: "No license, no obligation to proceed, no exclusivity." Clean structure, low friction. --- **NDA-2 (Bonusly + PARTY B): YELLOW** Counsel review required. Atypical non-solicitation clause embedded in confidentiality agreement: *"During the term of this Agreement and for eighteen (18) months thereafter, neither party shall solicit for employment or hire any employee of the other party with whom it came into contact under this Agreement."* This extends beyond confidentiality into employment restrictions and creates hiring constraints for 18 months post-term. Otherwise standard (Delaware law, carve-outs present, three-year term), but the employment language requires legal vetting. --- **NDA-3 (Bonusly + PARTY C): RED** Full legal review mandatory. Three critical issues: 1. **Overly broad non-compete.** Quote: *"For a period of three (3) years following the Effective Date, Recipient shall not, directly or indirectly, engage in or provide services to any business that competes with Discloser's business."* Undefined scope of "competes with"—could restrict core business activity for three years. 2. **Missing confidentiality carve-outs.** Quote: *"No confidentiality carve-outs are stated in this Agreement."* No exceptions for publicly available or independently developed information—creates indefinite liability exposure. 3. **One-way NDA + foreign jurisdiction.** Only PARTY C receives confidentiality protection (asymmetric). Governing law is Republic of Ireland with exclusive jurisdiction—adds cost and complexity to dispute resolution outside US courts.