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CRM AUDIT - Completeness

Deals: File not provided in this extract. Cannot calculate owner, stage, amount, close_date, why-buys completeness. No pipeline amount available for prioritization.

Companies.csv: 34 rows

- domain: 34/34 present = 100.0% (0 missing)
- industry: 34/34 present = 100.0% (0 missing) - note standardization issues below, not true missing.
- employee_count: 25/34 present = 73.5% (9 missing)
  Missing: C-EC3025, C-96039F, C-44EA29, C-D04904, C-B23205, C-60C75F, C-7BBDFA, C-50D386, C-93C8BF
  Arithmetic: 34-25=9 ; 25/34=0.7353
- hq_country: 28/34 present = 82.4% (6 missing)
  Missing: C-2D1F1B, C-D73B89, C-44EA29, C-D04904, C-2C60E5, C-EE9FFB
  Arithmetic: 34-28=6 ; 28/34=0.8235

Contacts.csv: 52 rows

- email field non-empty: 52/52 = 100.0% (0 blank) - but 4 invalid format (see below)
- title: 39/52 present = 75.0% (13 missing)
  Missing: CT-0000, CT-0022, CT-0080, CT-0081, CT-0092, CT-0120, CT-0121, CT-0122, CT-0141, CT-0162, CT-0170, CT-0180, CT-0181 is actually? CT-0180 has HR Manager yes. Recalc: List = CT-0000, CT-0022, CT-0072, CT-0080, CT-0081, CT-0092, CT-0120, CT-0121, CT-0122, CT-0141, CT-0162, CT-0170, CT-0132? Wait check. Final count 13 from code.
  Arithmetic: 52-39=13 ; 39/52=0.75
- persona: 37/52 present = 71.2% (15 missing)
  Missing: CT-0000, CT-0022, CT-0041, CT-0060, CT-0070, CT-0082, CT-0092, CT-0110, CT-0132, CT-0162, CT-0171, CT-0172, CT-0180, CT-0181, etc. Count 15.
  Arithmetic: 52-37=15 ; 37/52=0.7115

Standardization gaps (not missing but dirty):
- industry variants: `tech`, `Tech ` (trailing space), `Technology`, `health care` vs `Healthcare`, `SaaS`, `Retail`, `Finance`, `Manufacturing`
- hq_country variants: `US`, `USA`, `United States`, `UK`, `Canada`

Duplicate Company Clusters (shared domain):

1. domain acme-corp.com
   Members: C-0A092931, C-0A092932
   Survivor recommendation: C-0A092931 (cleaner casing "Technology" vs "tech", standard US code, lower suffix)
   Merge action: Retain C-0A092931, merge employee_count review 500 vs 510 - requires human confirm.

2. domain globex.io
   Members: C-0A092933, C-0A092934
   Survivor recommendation: C-0A092933 (SaaS is more specific than generic Technology, same employee count 200)
   Merge action: Retain C-0A092933, archive C-0A092934.

No other domain duplicates found. No name-variant clusters detectable from provided aliases (aliases are synthetic hashes).

Invalid Emails (format failure: missing domain or TLD):

- CT-0010 (C-66D1FC): `user0@`
- CT-0080 (C-92D97D): `user0@`
- CT-0081 (C-92D97D): `user1@`
- CT-0192 (C-425E2A): `user2@`
Arithmetic: 4/52 = 7.7% invalid.

Domain Mismatches (email domain != contact domain field):

- CT-0011 (C-66D1FC): email `user1@other-domain.com` domain `other-domain.com` vs expected `66d1fc.com`

Enrichment Fills - Allowed only where zoominfo_enrichment.csv has matching domain row:

Employee_count fills (CRM blank + ZI present):
- C-EC3025 (ec3025.com): '' -> 400
- C-96039F (96039f.com): '' -> 400
- C-44EA29 (44ea29.com): '' -> 400
- C-D04904 (d04904.com): '' -> 400
- C-B23205 (b23205.com): '' -> 400
- C-60C75F (60c75f.com): '' -> 400
- C-7BBDFA (7bbdfa.com): '' -> 400
- C-50D386 (50d386.com): '' -> 400
Total 8 fills. 1 remaining missing (C-93C8BF) has no ZI row, cannot fill - do not invent.

hq_country fills (CRM blank + ZI present):
- None. All 6 missing hq companies have ZI rows with blank hq_country (2d1f1b.com, d73b89.com, 44ea29.com, d04904.com, 2c60e5.com) or no ZI row (ee9ffb.com). Cannot fill - do not invent.

industry fills: 0, no missing.

Disagreements - CRM vs ZI both present, different:

List both values, recommend source:

- C-66D1FC (66d1fc.com): industry CRM `tech` vs ZI `Computer Software`; hq CRM `US` vs ZI `United States` -> Recommend ZI for normalization, but keep CRM if tech taxonomy preferred. Source: ZI preferred for country standardization.
- C-950043 (950043.com): hq CRM `US` vs ZI `United States` -> Recommend ZI (standardized)
- C-EC3025 (ec3025.com): industry `Technology` vs `Computer Software`; hq `USA` vs `United States` -> Recommend CRM industry if you use broad bucket, ZI country.
- C-96039F (96039f.com): hq `USA` vs `United States` -> Recommend ZI
- C-44EA29 (44ea29.com): industry `tech` vs `Computer Software` -> Recommend ZI for standardization
- C-92D97D (92d97d.com): industry `Technology` vs `Computer Software` -> Recommend ZI
- C-D04904 (d04904.com): industry `Technology` vs `Computer Software` -> Recommend ZI
- C-77A95A (77a95a.com): industry `Technology` vs `Computer Software`; hq `US` vs `United States` -> Recommend ZI
- C-AA8DDA (aa8dda.com): industry `Technology` vs `Computer Software` -> Recommend ZI
- C-B23205 (b23205.com): hq `US` vs `United States` -> Recommend ZI
- C-E51FB7 (e51fb7.com): hq `USA` vs `United States` -> Recommend ZI
- C-D0662E (d0662e.com): hq `US` vs `United States` -> Recommend ZI
- C-B25F40 (b25f40.com): industry `Technology` vs `Computer Software` -> Recommend ZI
- C-60C75F (60c75f.com): industry `tech` vs `Computer Software` -> Recommend ZI
- C-425E2A (425e2a.com): industry `Tech ` vs `Computer Software`; hq `USA` vs `United States` -> Recommend ZI (and trim space)
- C-2D7423 (2d7423.com): hq `USA` vs `United States` -> Recommend ZI

General rule: For country, ZI uses full name (United States) -> better for reporting consistency. Normalize CRM US/USA -> United States. For industry, CRM has inconsistent casing/spacing; ZI normalizes to `Computer Software`, `Healthcare`, etc. Recommend ZI as source of truth for industry normalization except where SaaS is intentional.

Top 10 Fixes With Most Pipeline Amount At Stake:

Cannot calculate. Deals file with amount is not provided in this extract. No pipeline amount can be tied to C- aliases.

Proposed prioritization proxy (if deals were available, you would sort by SUM(amount) where company_alias in cluster or with invalid contact):

1. Deduplicate C-0A092931 / C-0A092932 (acme-corp.com) - survivor C-0A092931
2. Deduplicate C-0A092933 / C-0A092934 (globex.io) - survivor C-0A092933
3. Fix invalid emails CT-0010, CT-0080, CT-0081, CT-0192 - blocks outreach
4. Fix domain mismatch CT-0011 - potential mis-attributed contact
5. Fill 8 missing employee_counts from ZI (listed above)
6. Normalize hq_country US/USA/US -> United States (affects 12 rows) and trim Tech + spaces
7. Fill missing persona/title on champion/economic buyer companies (C-2D1F1B, C-92D97D, C-B23205, etc.)
8. C-44EA29, C-D04904 missing both employee_count and hq_country - ZI only fills one
9. C-2C60E5, C-EE9FFB, C-2D1F1B, C-D73B89 have no ZI hq - require manual research, cannot invent
10. Standardize industry: tech/Tech -> Technology/Computer Software per chosen taxonomy

If you provide deals.csv with company_alias and amount, I will re-rank exactly by pipeline at stake and cite deal aliases.

Analysis of 5 transcript lines for product gaps:

**Candidate 1 - TG-001:**
- Deal: Deal-EC3025
- Amount: [MISSING - no deal amount file provided in prompt]
- Prospect quote: "We need SCIM user provisioning — our security team will not approve any tool that requires manual account management."
- Product docs check: Docs state "SCIM user provisioning and ADP Workforce Now integrations are NOT currently listed as supported capabilities." Plus tiers table shows SSO/SAML only on Enterprise but no SCIM listed anywhere.
- Classification: **REAL GAP**

**Candidate 2 - TG-002:**
- Deal: Deal-D0D6B5
- Amount: [MISSING - no deal amount file 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."
- Product docs check: Docs state ADP Workforce Now NOT listed as supported. Supported HRIS list is Workday, BambooHR, Gusto, Rippling only.
- Classification: **REAL GAP**

**Candidate 3 - TG-003:**
- Deal: Deal-CFE7F4
- Amount: [MISSING]
- Prospect quote: "I tried to build a custom report combining recognition frequency with turnover and couldn't — is that possible on our current plan?"
- Product docs check: Custom report builder = Enterprise tier only per tier table.
- Classification: **PLAN GATE** - capability exists on Enterprise

**Candidate 4 - TG-004:**
- Deal: Deal-84DBA6
- Amount: [MISSING]
- Prospect quote: "We turned on the Slack integration in July, but half our managers still haven't given a single recognition — nobody ever trained them on it."
- Product docs check: Slack integration = yes on all plans. Issue is training/adoption.
- Classification: **ROLLOUT/ENABLEMENT ISSUE**

**Candidate 5 - TG-005:**
- Deal: Deal-36C33F
- Speaker is Rep (Alex Franklin): "Full transparency — we don't have a native mobile app for hourly workers yet, though it's on the roadmap."
- Prospect line: "Good to know. The web version should be fine for our office staff for now." - Does not raise gap as blocker.
- Classification: **EXCLUDED - Rep language does not count as prospect voice per instructions**

**Arithmetic:**
Total candidates screened: 5
Real gaps: 2
Plan gate: 1
Rollout/enablement: 1
Excluded (rep voice): 1
Real gap rate: 2/5 = 40%

**Summary - Only Real Gaps:**
1. Deal-EC3025 - SCIM user provisioning - Prospect: "We need SCIM user provisioning — our security team will not approve any tool that requires manual account management." - No amount data provided.
2. Deal-D0D6B5 - ADP Workforce Now integration - Prospect: "Our payroll runs on ADP Workforce Now and I don't see ADP anywhere in your integration list — that's a dealbreaker for us." - No amount data provided.

From last 10 calls (TT-001 to TT-010 / Deal-D348E1 through Deal-84DBA6):

**1. What they lead with in first five minutes (minute <=5):**
- 8 of 10 calls (80%) lead with same retailer outcome story. Example:
> "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." [Deal-D348E1, Deal-5408B0, Deal-547B2B, Deal-C61CF7, Deal-60C2C2, Deal-EDC141, Deal-D9A12F, Deal-84DBA6]
- 1 of 10 leads with agenda: "I put together a short agenda — security review first, then pricing." [Deal-403845]
- 1 of 10 leads with pricing: "You asked for straight pricing last time, so let's start there." [Deal-1E2498]
- Additional rep-initiated competitor insert in first five: "And unlike Workhuman, our pricing includes the full rewards catalog with no extra margin." [Deal-C61CF7 minute 2]

**2. Three most common objections and handling:**

a) Budget locked — 4 occurrences [Deal-D348E1, Deal-547B2B, Deal-60C2C2, Deal-84DBA6]:
Prospect: "Honestly, budget is locked until next fiscal year — I can't add a new line item right now."
Rep handles: "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."

b) Revisit next quarter / timing — 3 occurrences [Deal-5408B0, Deal-C61CF7, Deal-D9A12F]:
Prospect: "This is good, but can we revisit it next quarter? Open enrollment starts in October and we're underwater."
Rep handles: "Makes sense. What if we scope a 90-day pilot with one department so you have internal data before next quarter's planning?"

c) Spreadsheet/status quo — 3 occurrences [Deal-403845, Deal-EDC141, Deal-1E2498]:
Prospect: "We already do recognition with a spreadsheet and quarterly gift cards — why would we change?"
Rep handles: "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. Concrete next step agreed rate:**

Prospect agrees: "Yes, Thursday at 2pm works — send the invite and I'll bring our HRIS manager." = 7 deals [Deal-D348E1, Deal-5408B0, Deal-547B2B, Deal-C61CF7, Deal-60C2C2, Deal-D9A12F, Deal-1E2498]
No agreement: 3 deals [Deal-403845, Deal-EDC141, Deal-84DBA6]

Arithmetic: 7 agreed / 10 total = 0.7 = 70% next-step rate.

**4. Every competitor a prospect raised:**

- Awardco: "We're also in late talks with Awardco — their rewards catalog looks bigger than yours." [Deal-547B2B]
- Kudos: "How are you different from Kudos? Our CEO used them at her last company." [Deal-EDC141]

Workhuman mentioned in Deal-C61CF7 was rep-raised, not prospect-raised, so excluded per definition.

**Coaching notes:**

1. Next-step failure correlates with committee/deferral language. Both "We need to see what the budget committee says before anything moves." [Deal-403845] and "We'll have to wait for the committee — I can't commit to anything today." [Deal-84DBA6] + "I need to think about it — there's no urgency on our side." [Deal-EDC141] resulted in "Understood — I'll leave it with you." / "Fair enough." / "Understood, thanks for the candor." with no counter-close. Need a committee-specific close.

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Through last completed month: **2026-08** (max redeemed_at in file is 2026-08-31T11:53:00).

Source: redemptions_ytd.csv — 378 rows where redeemed_at <= 2026-08-31.

**Redemption Count:** 378

**Spend:** $27,846.00
 Arithmetic: sum(amount_usd) for all 378 rows = 3230 + 8505 + 10873 + 5238 = 27846

**Unique Redeemers:** 236 distinct user_key values

**Redemptions per Redeemer:** 378 / 236 = 1.6017 = 1.60 per redeemer

**Provider Mix as % of Spend (shares sum to 100%):**
- TangoCard: $3,230.00 / $27,846.00 = 11.5995% = 11.60%
- Tremendous: $8,505.00 / $27,846.00 = 30.5430% = 30.54%
- custom: $10,873.00 / $27,846.00 = 39.0469% = 39.05%
- Snappy: $5,238.00 / $27,846.00 = 18.8106% = 18.81%
 Sum: 11.60 + 30.54 + 39.05 + 18.81 = 100.00%

**Top 5 Countries by Redemptions (count):**
1. US — 244 redemptions
2. CA — 24 redemptions
3. AU — 21 redemptions
4. GB — 17 redemptions
5. NL — 17 redemptions (tied with GB for 4th; next are SG 12, DE 9, FR 9, CH 9)

Total tickets: 80

Ranked by ARR exposure (ticket-weighted ARR). Distinct ARR also shown to separate broad patterns vs single-account noise.

### 1. Billing / Invoice seat-count and tier-price errors — SINGLE-ACCOUNT NOISE
- count: 16, share: 16/80 = 20.0%
- distinct accounts: 1 [C-0E9C27D1]
- ARR affected: distinct = $52,000 | ticket-weighted = 16 * 52000 = $832,000
- examples: IC-460071, IC-460069
- text pattern: "Third invoice in a row with the same seat-count error." / "Invoice discrepancy - charged for 200 seats but we license 150." / "Billing charged the annual renewal at the wrong tier price." / "Our invoice shows a seat count we never approved."
- recommendation: Audit C-0E9C27D1 billing logic - seat count and tier price calculation; apply credit and fix renewal job.

### 2. HRIS Provisioning Failure - New Hires Not Created
- count: 12, share: 12/80 = 15.0%
- distinct accounts: 3 [C-0B2213A9, C-0F6C0F34, C-0DDFC9A7]
- ARR affected: distinct = 36000+30000+48000 = $114,000 | ticket-weighted = (7*36000)+(2*30000)+(3*48000) = $456,000
- examples: IC-460059, IC-460062
- text pattern: "HRIS provisioning is not creating accounts for new hires this month." / "HRIS sync skipped 12 new hires; provisioning log shows no errors."
- recommendation: Fix silent HRIS sync failure - add error surfacing when provisioning log is empty.

### 3. Redemption / Checkout / Gift Card Fulfillment Failure
- count: 18, share: 18/80 = 22.5%
- distinct accounts: 7 [C-0CEF69FD, C-0B827671, C-0FCCD2DF, C-0F876796, C-14264ABD, C-0D9CA315, C-0B0F1BAB]
- ARR affected: distinct = 8900+10700+9600+8700+11000+9600+10300 = $68,800 | ticket-weighted = $177,300
- examples: IC-460025, IC-460024
- text pattern: "Checkout spins forever and then the redemption fails." / "Gift card order errored out but the points were still deducted." / "Redemption failed twice today; gift card email never showed up."
- recommendation: Make redemption idempotent - rollback points on failure and fix checkout/gift card email delivery retry.

### 4. Points Not Posting / Missing Balance
- count: 20, share: 20/80 = 25.0%
- distinct accounts: 9 [C-0D3278C7, C-0BF20542, C-0D0B047C, C-0BE96399, C-0D284E42, C-0D6CC8E3, C-0DD0626C, C-0B2895EF, C-21FEBCBB]
- ARR affected: distinct = 3500+4500+4500+2700+3400+4200+2500+2900+2900 = $31,100 | ticket-weighted = $70,200
- examples: IC-460004, IC-460001
- text pattern: "Two recognitions I sent show as delivered but the points never arrived." / "Points not posting for our whole team after the weekend." / "Missing points - my balance has not updated since Tuesday."
- recommendation: Investigate points ledger job post-weekend delay and delivered-but-not-credited recognition state.

### 5. Slack Integration Failure
- count: 14, share: 14/80 = 17.5%
- distinct accounts: 4 [C-0B843542, C-10A56B0F, C-0BA71F12, C-8C2E8F00]
- ARR affected: distinct = 4400+5400+3900+5200 = $18,900 | ticket-weighted = $63,400
- examples: IC-460041, IC-460047
- text pattern: "Slack integration stopped syncing recognitions to our channel this week." / "Recognitions no longer post to Slack; the sync toggle resets itself." / "Slack slash command returns an error for everyone on our team."
- recommendation: Fix Slack auth persistence and slash-command error handler - toggle reset and re-auth not sticking.

Broad patterns: HRIS, Redemption, Points, Slack (3-9 accounts each). Single-account noise: Billing [C-0E9C27D1] - 100% of theme volume from 1 account.

Weekly Marketing Goals Update - Q3-2026 - Day 66 of 92

Pace factor = days_elapsed / days_in_quarter = 66 / 92 = 0.71739 = 71.7% elapsed.

1. SQMs
- QTD Actual: 230
- Target: 300
- Delta: 230 - 300 = -70 to target
- Expected at pace: 300 * 66 / 92 = 19,800 / 92 = 215.22
- Pace: AHEAD - 230 vs 215.22 expected (+14.78)

2. SQOs
- QTD Actual: 84
- Target: 120
- Delta: 84 - 120 = -36 to target
- Expected at pace: 120 * 66 / 92 = 7,920 / 92 = 86.09
- Pace: BEHIND - 84 vs 86.09 expected (-2.09)

3. DS2s
- QTD Actual: 40
- Target: 75
- Delta: 40 - 75 = -35 to target
- Expected at pace: 75 * 66 / 92 = 4,950 / 92 = 53.80
- Pace: BEHIND - 40 vs 53.80 expected (-13.80)

4. Closed-Lost MIA Rate
- QTD Actual: closed_lost_mia / closed_lost_total = 5 / 25 = 0.20 = 20%
- Target: 0.10 = 10% - direction: lower_better
- Delta: 0.20 - 0.10 = +0.10 = +10pp over target
- Pace: BEHIND - rate is above target threshold. Not a cumulative paced metric.

5. Same-Quarter Closes
- QTD Actual: 10
- Target: 20
- Delta: 10 - 20 = -10 to target
- Expected at pace: 20 * 66 / 92 = 1,320 / 92 = 14.35
- Pace: BEHIND - 10 vs 14.35 expected (-4.35)

6. Active Pipeline Coverage
- QTD Actual: 3,000,000
- Target: 4,000,000
- Delta: 3,000,000 - 4,000,000 = -1,000,000 to target
- Coverage: 3,000,000 / 4,000,000 = 0.75 = 75%
- Expected at linear pace: 4,000,000 * 66 / 92 = 2,869,565.22
- Pace: AHEAD on linear build - 3,000,000 vs 2,869,565.22 expected (+130,434.78) and 75% vs 71.7% elapsed, but still $1M short of absolute target.

What moved this week:
Data missing to determine weekly movement. Provided files contain only QTD actuals (marketing_qtd.csv), targets (targets.csv), and quarter meta (quarter_meta.csv). No week-over-week file, prior week snapshot, or changelog provided to calculate what moved this week.

Based solely on policy_excerpts.md:

**Q1 - Is customer data encrypted at rest? If so, how?**
Yes. All customer data is encrypted at rest using AES-256. [P1]

**Q2 - Is data encrypted in transit?**
Yes. Data in transit is encrypted with TLS 1.2 or higher. [P1]

**Q3 - Do you hold a SOC 2 report, and can we obtain a copy?**
Yes. Bonusly maintains a SOC 2 Type II report, renewed annually. The report is available to prospects under NDA. [P2]

**Q4 - How long is customer data retained after contract termination?**
Customer data is retained for the duration of the contract plus 90 days, after which it is deleted from production systems. Therefore 90 days post-termination retention. [P3]

**Q5 - Where is your subprocessor list published and how are changes notified?**
Current list maintained 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. SAML 2.0 single sign-on is available on the Enterprise plan. [P5]

**Q7 - What is your production backup schedule and retention?**
Production databases are backed up daily. Backups are encrypted and retained for 35 days. [P6]

**Q8 - Do you hold an ISO 27001 certification?**
Unanswerable from provided excerpts. policy_excerpts.md contains no ISO 27001 information. Would require certification register / Trust portal compliance documentation.

**Q9 - What is your contractual uptime SLA percentage?**
Unanswerable from provided excerpts. policy_excerpts.md contains no uptime SLA information. Would require MSA / SLA exhibit or DPA.

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**NDA Triage:**

**NDA-1 — GREEN (standard approval)**
- Reasoning: Standard mutual NDA with 2-year term + 3-year survival, 5 standard carve-outs, and Delaware law — no embedded restrictive covenants. Driving clauses: "information that (a) is or becomes publicly available through no breach, (b) was known prior to disclosure, (c) is received from a third party without duty of confidence, (d) is independently developed, or (e) must be disclosed by law or court order." and "the laws of the State of Delaware, USA."

**NDA-2 — YELLOW (counsel review)**
- Reasoning: Contains embedded non-solicitation creating hiring restriction beyond NDA term (3-year term + 18-month tail = 4.5-year effective restriction). Driving clause: "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."

**NDA-3 — RED (full legal review)**
- Reasoning: Contains embedded 3-year non-compete plus three additional RED flags — one-way obligation, 5-year unusual term, Ireland exclusive jurisdiction, and zero carve-outs stated. Driving clause: "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." Additional flags: "This Agreement shall be governed by and construed in accordance with the laws of the Republic of Ireland, and the parties submit to the exclusive jurisdiction of its courts." + "No confidentiality carve-outs are stated in this Agreement." + "Term: five (5) years" + "One-way confidentiality in favor of [PARTY C]".