n_companies: 34
n_contacts: 52
company_missing: industry=0; employee_count=9; hq_country=6
invalid_email_count: 4
invalid_emails: CT-0010, CT-0080, CT-0081, CT-0192
domain_mismatch_count: 1
domain_mismatches: CT-0011
duplicate_clusters: ['C-0A092931', 'C-0A092932'], ['C-0A092933', 'C-0A092934']
n_dup_clusters: 2
enrichment_matches: 25
graded checks: dup_clusters · invalid_emails · survivor_language · completeness_pct · no_invent

Model's actual answer

show the model's full answer

DEALS AUDIT (required fields: owner, stage, amount, close date, why-buys)
- Missing input: I do not see a deals export/file in the data you provided.
- Result: I cannot compute completeness % per deal field, cannot list invalid/missing deals fields, and cannot rank “pipeline amount at stake” because no deal amounts are provided.

COMPANIES AUDIT (companies.csv)
Row count (companies): 34

1) Completeness percent per company field
A) industry
- Non-empty: 34
- Missing: 0
- Completeness = 34/34 = 100%

B) employee_count
- Non-empty: 25
- Missing: 34 - 25 = 9
- Completeness = 25/34 = 0.7353 = 73.53%

Missing employee_count company_alias (CRM is blank):
- C-EC3025 (ec3025.com)
- C-96039F (96039f.com)
- C-44EA29 (44ea29.com)
- C-D04904 (d04904.com)
- C-B23205 (b23205.com)
- C-60C75F (60c75f.com)
- C-7BBDFA (7bbdfa.com)
- C-50D386 (50d386.com)
- C-93C8BF (93c8bf.com)

C) hq_country
- Non-empty: 28
- Missing: 34 - 28 = 6
- Completeness = 28/34 = 0.8235 = 82.35%

Missing hq_country company_alias (CRM is blank):
- C-2D1F1B (2d1f1b.com)
- C-D73B89 (d73b89.com)
- C-44EA29 (44ea29.com)
- C-D04904 (d04904.com)
- C-2C60E5 (2c60e5.com)
- C-EE9FFB (ee9ffb.com)

2) Duplicate company clusters (shared domain) + survivor per cluster
Cluster A: acme-corp.com
- Members:
  - C-0A092931 (Technology, 500, US)
  - C-0A092932 (tech, 510, USA)
- Survivor recommendation: C-0A092931
  - Rationale (based only on CRM data): same completeness, and more normalized industry/country string form (“Technology” and “US” vs “tech” and “USA”).
  - Disagreement to resolve: employee_count (500 vs 510) and hq_country formatting (US vs USA).
  - Enrichment note: no acme-corp.com row exists in zoominfo_enrichment.csv, so I cannot recommend based on enrichment.

Cluster B: globex.io
- Members:
  - C-0A092933 (SaaS, 200, US)
  - C-0A092934 (Technology, 200, US)
- Survivor recommendation: C-0A092933
  - Rationale (based only on CRM data): both complete; industry values disagree (SaaS vs Technology), so you should pick one as the canonical industry and merge the other. I’m choosing C-0A092933 as the canonical alias for clustering/simplification.
  - Enrichment note: no globex.io row exists in zoominfo_enrichment.csv, so this cannot be validated against enrichment.

3) Filling missing company fields using zoominfo_enrichment.csv (match by domain only)
Enrichment file match domains are limited to what appears in zoominfo_enrichment.csv.

A) employee_count fill candidates where enrichment has a matching row
1. C-EC3025 (ec3025.com)
- CRM employee_count: blank
- Enrichment zi_employee_count: 400
- Recommended fill: employee_count = 400 (from enrichment)
- Disagreements to resolve:
  - industry: CRM “Technology” vs enrichment “Computer Software”
  - hq_country: CRM “USA” vs enrichment “United States”
  - Recommendation: for employee_count, use enrichment (400). For industry + hq_country, you must choose a source-of-truth because enrichment disagrees with CRM.

2. C-96039F (96039f.com)
- CRM employee_count: blank
- Enrichment zi_employee_count: 400
- Recommended fill: employee_count = 400
- Disagreements:
  - hq_country: CRM “USA” vs enrichment “United States”
  - industry: matches (Finance vs Finance)

3. C-D04904 (d04904.com)
- CRM employee_count: blank
- Enrichment zi_employee_count: 400
- Recommended fill: employee_count = 400
- Disagreement:
  - industry: CRM “Technology” vs enrichment “Computer Software”
- hq_country:
  - CRM: blank
  - Enrichment: blank
  - So: cannot fill hq_country from enrichment.

4. C-B23205 (b23205.com)
- CRM employee_count: blank
- Enrichment zi_employee_count: 400
- Recommended fill: employee_count = 400
- Disagreement:
  - hq_country: CRM “US” vs enrichment “United States”
  - industry matches (Healthcare)

5. C-60C75F (60c75f.com)
- CRM employee_count: blank
- Enrichment zi_employee_count: 400
- Recommended fill: employee_count = 400
- Disagreement:
  - industry: CRM “tech” vs enrichment “Computer Software”
- hq_country: CRM “United States” matches enrichment “United States”

6. C-7BBDFA (7bbdfa.com)
- CRM employee_count: blank
- Enrichment zi_employee_count: 400
- Recommended fill: employee_count = 400
- hq_country matches (Canada)
- industry matches (health care)

7. C-50D386 (50d386.com)
- CRM employee_count: blank
- Enrichment zi_employee_count: 400
- Recommended fill: employee_count = 400
- hq_country matches (Canada)
- industry matches (health care)

B) employee_count cannot be filled from enrichment (no matching enrichment row)
- C-44EA29 (44ea29.com): no enrichment row present in zoominfo_enrichment.csv
- C-93C8BF (93c8bf.com): no enrichment row present in zoominfo_enrichment.csv

C) hq_country fill status for rows where CRM hq_country is missing
For the company aliases with missing hq_country in CRM:
- C-2D1F1B (2d1f1b.com): enrichment exists but zi_hq_country is blank → cannot fill
- C-D73B89 (d73b89.com): enrichment exists but zi_hq_country is blank → cannot fill
- C-D04904 (d04904.com): enrichment exists but zi_hq_country is blank → cannot fill
- C-2C60E5 (2c60e5.com): enrichment exists but zi_hq_country is blank → cannot fill
- C-44EA29 (44ea29.com): no enrichment row → cannot fill
- C-EE9FFB (ee9ffb.com): no enrichment row → cannot fill

CONTACTS AUDIT (contacts.csv)
Row count (contacts): 52

1) Completeness percent per contact field (non-empty values)
A) email
- Non-empty emails (string not blank): 52/52 = 100%
- Note: this does NOT guarantee validity; invalid email formats are listed below.

B) title
- Non-empty titles: 39
- Missing titles: 52 - 39 = 13
- Completeness = 39/52 = 75.00%

C) persona
- Non-empty personas: 38
- Missing personas: 52 - 38 = 14
- Completeness = 38/52 = 73.08%

2) Invalid emails (email missing domain part)
These have an email value of the form “user@” with no domain.
- CT-0010 (company_alias C-66D1FC): user0@
- CT-0080 (company_alias C-92D97D): user0@
- CT-0081 (company_alias C-92D97D): user1@
- CT-0192 (company_alias C-425E2A): user2@

3) Domain mismatches (email domain vs contacts.csv domain column)
- CT-0010: email domain = blank vs domain column = 66d1fc.com
- CT-0011: email domain = other-domain.com vs domain column = 66d1fc.com
- CT-0080: email domain = blank vs domain column = 92d97d.com
- CT-0081: email domain = blank vs domain column = 92d97d.com
- CT-0192: email domain = blank vs domain column = 425e2a.com

4) Recommended fixes to enforce on contacts (based on audit)
- Enforce email format validation: require non-empty domain part after “@”.
- Enforce email-domain consistency: email domain must match contacts.csv domain for that contact row.
- Enforce required fields for downstream use:
  - title missing on 13/52 contacts (75.00% completeness)
  - persona missing on 14/52 contacts (73.08% completeness)

10 fixes with the most pipeline amount at stake (cannot rank by pipeline amount with provided data)
- Cannot compute “pipeline amount at stake” because no deals export (including deal amounts) is provided.
- Below are the 10 highest-impact data fixes ranked by the largest measurable data-quality gaps in the inputs (companies + contacts).

1) Fill employee_count for the 7 company aliases where enrichment has a match and CRM employee_count is blank:
   - C-EC3025, C-96039F, C-D04904, C-B23205, C-60C75F, C-7BBDFA, C-50D386

2) Enrichment-backed source-of-truth decisions for ec3025.com / 96039f.com / b23205.com / 60c75f.com where CRM vs enrichment disagree:
   - C-EC3025 (industry + hq_country)
   - C-96039F (hq_country)
   - C-B23205 (hq_country)
   - C-60C75F (industry)

3) Stop duplicates from splitting reporting by merging company clusters on shared domain:
   - Merge acme-corp.com cluster: C-0A092931 + C-0A092932 (choose C-0A092931 as survivor)
   - Merge globex.io cluster: C-0A092933 + C-0A092934 (choose C-0A092933 as survivor)

4) Fix invalid email blanks (missing domain after @) for 4 contacts:
   - CT-0010, CT-0080, CT-0081, CT-0192

5) Fix domain mismatches for 5 contacts:
   - CT-0010, CT-0011, CT-0080, CT-0081, CT-0192
   - Recommendation: either correct the email domain or correct the contacts.csv domain field so they align.

6) Enforce title requiredness (missing on 13/52 contacts; 75.00% completeness)
   - Populate title for the contacts where title is blank.

7) Enforce persona requiredness (missing on 14/52 contacts; 73.08% completeness)
   - Populate persona for the contacts where persona is blank.

8) Address employee_count gaps that cannot be filled from enrichment due to missing enrichment rows:
   - C-44EA29 (44ea29.com)
   - C-93C8BF (93c8bf.com)

9) Address hq_country gaps that cannot be filled from enrichment because enrichment zi_hq_country is blank or enrichment row missing:
   - C-2D1F1B, C-D73B89, C-D04904, C-2C60E5, C-44EA29, C-EE9FFB

10) Deals completeness is currently un-auditable and should be added to the extract:
   - Provide deals export with fields: owner, stage, amount, close date, why-buys
   - Without it, I cannot produce completeness % per deal field or compute pipeline amount at stake.

Candidate product gaps from active deals (prospect voice only)

1) Deal: Deal-EC3025 | Amount: not provided
Prospect line: “We need SCIM user provisioning — our security team will not approve any tool that requires manual account management.”
Classification: Real gap
Product-doc basis: “SCIM user provisioning and ADP Workforce Now integrations are NOT currently listed as supported capabilities.”

2) Deal: Deal-D0D6B5 | Amount: not provided
Prospect line: “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
Product-doc basis: “SCIM user provisioning and ADP Workforce Now integrations are NOT currently listed as supported capabilities.”

3) Deal: Deal-CFE7F4 | Amount: not provided
Prospect line: “I tried to build a custom report combining recognition frequency with turnover and couldn't — is that possible on our current plan?”
Classification: Plan gate
Product-doc basis: “Custom report builder … Enterprise: yes” (and “Core/Pro: —”)

4) Deal: Deal-84DBA6 | Amount: not provided
Prospect line: “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.”
Classification: Rollout/enablement issue
Product-doc basis: Slack integration is supported (“Slack and Microsoft Teams integration: yes … Core/Pro/Enterprise”). The blocker described is training/enablement, not lack of Slack integration support.

Arithmetic (from the 4 candidates above)
- Real gaps: 2 (Deal-EC3025, Deal-D0D6B5)
- Plan gate: 1 (Deal-CFE7F4)
- Rollout/enablement issue: 1 (Deal-84DBA6)
- Check: 2 + 1 + 1 = 4 total candidates

Summary (only real gaps)
- Deal-EC3025: “We need SCIM user provisioning — our security team will not approve any tool that requires manual account management.” (Amount: not provided)
- Deal-D0D6B5: “Our payroll runs on ADP Workforce Now and I don't see ADP anywhere in your integration list — that's a dealbreaker for us.” (Amount: not provided)

First 5 minutes (what Alex Franklin leads with)
- Common opener in 8/10 calls (TT-001, TT-002, TT-003, TT-005, TT-006, TT-007, TT-008, TT-010): “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.”
- Exceptions:
  - TT-004: agenda-first (“I put together a short agenda — security review first, then pricing.”)
  - TT-009: pricing-first (“You asked for straight pricing last time, so let's start there.”)

Three most common objections (counts) + how they handle them
1) “Budget is locked / can’t add a new line item” — 4/10 calls (TT-001, TT-003, TT-006, TT-010)
   - Handling: “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) “Revisit next quarter / open enrollment starts in October and we’re underwater” — 3/10 calls (TT-002, TT-005, TT-008)
   - Handling: “Makes sense. What if we scope a 90-day pilot with one department so you have internal data before next quarter's planning?”
3) “We already do recognition with a spreadsheet and quarterly gift cards — why change?” — 3/10 calls (TT-004, TT-007, TT-009)
   - Handling: “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.”

Concrete next step agreed (rate)
- Calls with explicit agreement to a next step (the “Yes, Thursday at 2pm works — send the invite…” line): 7 calls
  - Agreed: TT-001, TT-002, TT-003, TT-005, TT-006, TT-008, TT-009
  - Not agreed (no such agreement line present): TT-004, TT-007, TT-010
- Arithmetic: 7/10 = 0.70 = 70%
- Quote (agreement line): “Yes, Thursday at 2pm works — send the invite and I'll bring our HRIS manager.”

Every competitor a prospect raised
- Awardco (TT-003)
- Kudos (TT-007)

Coaching notes (2)
1) In calls where no next-step agreement appears in the transcript (TT-004, TT-007, TT-010), consider using the same explicit “lock the next step” close pattern earlier, since many agreements show up right after that framing (e.g., TT-001/TT-002/TT-003).
2) For the repeated “budget locked” objection, you consistently anchor on a funding logic tied to avoided backfills (the $210k example). Keep that linkage tight—and when possible, connect it to the prospect’s stated constraint (e.g., line-item freeze) rather than only to the savings story.

Last completed month: 2026-08 (i.e., through 2026-08-31)

Redemption count
- 377

Spend (USD)
- Total spend = 10,873.00 (custom) + 8,540.00 (Tremendous) + 5,128.00 (Snappy) + 3,230.00 (TangoCard) = 27,771.00

Unique redeemers
- 234

Redemptions per redeemer
- 377 / 234 = 1.611111... ≈ 1.61

Provider mix (as % of spend; must sum to 100%)
Total spend denominator = 27,771.00

- custom: 10,873.00 / 27,771.00 * 100 = 39.15%
- Tremendous: 8,540.00 / 27,771.00 * 100 = 30.75%
- Snappy: 5,128.00 / 27,771.00 * 100 = 18.47%
- TangoCard: 3,230.00 / 27,771.00 * 100 = 11.63%
- Check: 39.15% + 30.75% + 18.47% + 11.63% = 100.00%

Top 5 countries by redemptions (by count of redemption_id)
- US: 244
- CA: 24
- AU: 21
- GB: 17
- NL: 16

Total tickets in file (used as denominator for shares): N = 79

1) HRIS provisioning & sync failures
- Count: 10
- Share: 10/79 = 0.126582… = 12.7%
- Distinct accounts: 3
- ARR affected (distinct-account sum): C-0B2213A9 (36,000) + C-0DDFC9A7 (48,000) + C-0F6C0F34 (30,000) = 114,000
- Two ticket ids: IC-460060, IC-460056
- One-line recommendation: Prioritize HRIS provisioning flow reliability (new hires/account creation + “sync skipped” cases) because it impacts 3 accounts and the highest ARR exposure.

2) Checkout/redemption & gift-card delivery issues
- Count: 18
- Share: 18/79 = 0.227848… = 22.8%
- Distinct accounts: 7
- ARR affected (distinct-account sum): C-0B0F1BAB (10,300) + C-0B827671 (10,700) + C-0CEF69FD (8,900) + C-0D9CA315 (9,600) + C-0F876796 (8,700) + C-0FCCD2DF (9,600) + C-14264ABD (11,000) = 68,800
- Two ticket ids: IC-460038, IC-460029
- One-line recommendation: Fix redemption/checkout + gift-card code/email delivery failures end-to-end (spin/failed redemption, missing gift card code/email), since it spans 7 accounts and the second-highest ARR exposure.

3) Billing & invoice seat/tier errors
- Count: 15
- Share: 15/79 = 0.189873… = 19.0%
- Distinct accounts: 1
- ARR affected (distinct-account sum): C-0E9C27D1 (52,000) = 52,000
- Two ticket ids: IC-460071, IC-460069
- One-line recommendation: Treat as single-account but high-urgency: validate seat-count/tier + renewal charge logic for C-0E9C27D1 to stop repeated invoice discrepancies.

4) Unspecified / missing body text
- Count: 2
- Share: 2/79 = 0.025316… = 2.5%
- Distinct accounts: 1
- ARR affected (distinct-account sum): C-0B2213A9 (36,000) = 36,000
- Two ticket ids: IC-460063, IC-460057
- One-line recommendation: Request/ensure complete ticket message content is captured so these can be actioned and correctly routed (right now there’s no usable body_text).

5) Recognition points not posting / balance not updating
- Count: 20
- Share: 20/79 = 0.253165… = 25.3%
- Distinct accounts: 9
- ARR affected (distinct-account sum): C-0B2895EF (2,900) + C-0BE96399 (2,700) + C-0BF20542 (4,500) + C-0D0B047C (4,500) + C-0D284E42 (3,400) + C-0D3278C7 (3,500) + C-0D6CC8E3 (4,200) + C-0DD0626C (2,500) + C-21FEBCBB (2,900) = 31,100
- Two ticket ids: IC-460016, IC-460001
- One-line recommendation: Focus on the recognition-to-points/balance posting pipeline (including cases where recognitions show “delivered” but points never arrive), since it’s broad across 9 accounts.

6) Slack integration & command failures
- Count: 14
- Share: 14/79 = 0.177216… = 17.7%
- Distinct accounts: 4
- ARR affected (distinct-account sum): C-0B843542 (4,400) + C-0BA71F12 (3,900) + C-10A56B0F (5,400) + C-8C2E8F00 (5,200) = 18,900
- Two ticket ids: IC-460047, IC-460049
- One-line recommendation: Stabilize Slack sync + auth persistence (sync toggle resets / disconnects) and slash-command error behavior, because it affects multiple accounts (4) even if ARR impact is smaller than HRIS/checkout/billing.

Active quarter: Q3-2026 (days elapsed = 66 / 92). Linear pace fraction = 66/92 = 0.717391.

1) SQMs (higher is better)
- QTD actual: 230
- Target: 300
- Delta: 230 - 300 = -70
- Pace: expected pace at day 66 = 300 * (66/92) = 300 * 0.717391 = 215.217; 230 > 215.217 => ahead

2) SQOs (higher is better)
- QTD actual: 84
- Target: 120
- Delta: 84 - 120 = -36
- Pace: expected = 120 * (66/92) = 86.087; 84 < 86.087 => behind

3) DS2s (higher is better)
- QTD actual: 40
- Target: 75
- Delta: 40 - 75 = -35
- Pace: expected = 75 * (66/92) = 53.804; 40 < 53.804 => behind

4) Closed-lost MIA rate (lower is better)
- QTD actual rate = closed_lost_mia / closed_lost_total = 5 / 25 = 0.2
- Target: 0.1
- Delta: 0.2 - 0.1 = +0.1
- Pace: expected (linear, lower-is-better) = 0.1 * (66/92) = 0.071739; 0.2 > 0.071739 => behind

5) Same-quarter close count (higher is better)
- QTD actual: 10
- Target: 20
- Delta: 10 - 20 = -10
- Pace: expected = 20 * (66/92) = 14.348; 10 < 14.348 => behind

6) Active pipeline coverage against target (higher is better)
- QTD actual: 3,000,000
- Target: 4,000,000
- Delta: 3,000,000 - 4,000,000 = -1,000,000
- Coverage ratio: 3,000,000 / 4,000,000 = 0.75 (75%)
- Pace: expected = 4,000,000 * (66/92) = 2,869,565.217; 3,000,000 > 2,869,565.217 => ahead

One paragraph on what moved this week:
I can’t determine “what moved this week” from the provided data because only QTD snapshots are included (no week-over-week counts or deltas for any of the requested metrics).

Q1: Yes. Customer data is encrypted at rest using AES-256. (Cite: [P1])

Q2: Yes. Data in transit is encrypted with TLS 1.2 or higher. (Cite: [P1])

Q3: Yes. Bonusly maintains a SOC 2 Type II report, renewed annually, and it is available to prospects under NDA. (Cite: [P2])

Q4: Customer data is retained for the duration of the contract plus 90 days, then deleted from production systems. (Cite: [P3])

Q5: The current list of subprocessors is published at trust.bonusly.com, and customers receive 30 days notice before a new subprocessor is added. (Cite: [P4])

Q6: Yes. SAML 2.0 single sign-on is available on the Enterprise plan. (Cite: [P5])

Q7: Backups are taken daily, and encrypted backups are retained for 35 days. (Cite: [P6])

Q8: Unanswerable from the provided policy excerpts. Please provide your ISO 27001 certification (certificate) or ISO 27001 attestation document. (Cite: [P1]-[P8])

Q9: Unanswerable from the provided policy excerpts. Please provide the contractual uptime SLA document (including the uptime percentage). (Cite: [P1]-[P8])

Q10: Unanswerable from the provided policy excerpts. Please provide the HIPAA Business Associate Agreement (BAA) terms or an executed BAA template/attachment. (Cite: [P1]-[P8])

- NDA-1 (GREEN): “Carve-outs: information that (a) is or becomes publicly available… (b) was known prior… (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.” (Standard mutual confidentiality with normal carve-outs; no non-solicit/non-compete; Delaware governing law.)

- NDA-2 (YELLOW): “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.” (Embedded non-solicit; 18 months = 1.5 years → counsel should review.)

- NDA-3 (RED): “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.” + “No confidentiality carve-outs are stated in this Agreement.” (Embedded 3-year non-compete plus missing confidentiality carve-outs; governing law Ireland with exclusive jurisdiction.)