Validate Data Skill

Audits a finished workbook like a senior reviewer before it goes to leadership.

Finance / Data Qualityfinancedata-quality
by AgentVoltv1.0.0Published 1y ago1 install
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Before & after

Same prompt, same agent — the only difference is the skill.

PromptValidate our Q3 financial forecast before board presentation to investors.
Beforegeneric AI agent
Data validation for financial reports is critical before presenting to leadership. You'd want to check for calculation errors, data consistency, outliers that don't make sense, and whether the narrative is actually supported by the numbers. I'd typically look at methodology, source data quality, assumption reasonableness, and then flag anything that stands out. Do you have documentation of your forecast assumptions? What's your historical accuracy rate? Are there specific areas you're most concerned about?
Afterwith Validate Data Skill
FINANCIAL DATA VALIDATION REPORT: Q3 2026 Forecast

VALIDATION SUMMARY
→ Critical errors found: 3 (release-blocking)
→ Warnings: 7 (material impact, fix before board)
→ Green: 18 sections (validated)
→ Overall risk: MEDIUM → LOW (post-fixes)

CRITICAL ISSUES (STOP—Fix before presenting)

Issue 1: Revenue Calculation Error
Finding: Q3 revenue formula references Q2 actuals instead of Q3 forecast
Location: Sheet 'Revenue Forecast', Column C (row 15-27)
Impact: Q3 revenue overstated by $340K (9.2%)
Root cause: Copy-paste error from prior quarter
Fix: Update references from Q2 to Q3 forecast data
Severity: CRITICAL—changes bottom line materially

Issue 2: Duplicate Customer Revenue
Finding: Enterprise customer appears twice in subscription revenue
Location: 'Customer List' sheet rows 42 and 87
Data: Both rows show $85K annual contract value
Impact: Overstated ARR by $85K
Root cause: Customer acquired in Q2, not removed from renewal forecast
Fix: Remove row 87 (duplicate), retain row 42 with Q3 renewal date
Severity: CRITICAL—materially overstates growth

Issue 3: Expense Category Math Error
Finding: Total operating expenses (row 120) is sum of Q1-Q2 actuals, not Q3 forecast
Location: 'Expense Forecast' sheet
Current value: $1.2M (should be: $1.35M for Q3)
Impact: Operating margin appears 12% higher than forecast
Root cause: Wrong row summed in formula
Fix: Recalculate row 120 formula to sum Q3-only rows (45-89)
Severity: CRITICAL—ebitda projection false

WARNING ISSUES (Fix within 48 hours)

Warning 1: Unsupported CAC Assumption
Finding: CAC projected to drop 18% in Q3 vs. Q2 actuals
Data: Q2 CAC actual $580 → Q3 forecast $475
Supporting evidence: None in methodology doc
Question: What changes drive this improvement?
Recommendation: Document assumption or revise forecast conservatively
Impact: If assumption wrong, miss revenue target

Warning 2: Churn Rate Anomaly
Finding: Churn rate increases from 3.2% to 4.1% mid-quarter
Reasoned explanation needed: No commentary in forecast narrative
Historical pattern: Q2 was flat at 3.2%, sudden jump is unusual
Action: Validate with support/CS team—is there a known issue driving churn?
Risk: Churn can accelerate if root cause is real and untreated

Warning 3: Headcount Plan Mismatch
Finding: Engineering headcount forecast shows 12 new hires in Q3
Supporting plan: Recruiting roadmap only approved 8 new hires
Gap: 4 unbudgeted FTE
Impact: Salary expense may be understated
Action: Reconcile with HR, update forecast if hire plan is firm

Warning 4: Foreign Exchange Risk Not Modeled
Finding: Q3 forecast assumes USD/EUR = 1.08 (fixed)
Actual volatility: Range 1.05-1.12 in 2026
Impact: 21% of revenue is EUR-denominated; 1% FX move = +/- $45K
Recommendation: Add FX sensitivity analysis (best/base/worst case)

Warning 5: Bad Debt Reserve Missing
Finding: No reserve for AR over 90 days
Current overdue AR: $120K (2 customers)
Historical bad debt rate: 2.1%
Forecast should reserve: ~$14K for likely defaults
Impact: Net income overstated by $14K

Warning 6: Segment Revenue Split Inconsistent
Finding: SMB revenue % does not equal sum of SMB customer ARR
Data: SMB forecast = 35% of total ($1.4M), but SMB customer list totals $1.24M
Gap: $160K unexplained
Action: Audit customer segmentation, reallocate revenue to correct segment

Warning 7: Discount Rate Assumption Not Disclosed
Finding: Cash flow projection uses 8% discount rate (NPV calc)
No mention in assumptions section
Best practice: Disclose discount rate chosen + sensitivity
Recommendation: Add footnote explaining 8% rate choice

RECOMMENDATION

DO NOT PRESENT to board until:
1. Fix 3 critical errors (1-2 hours work)
2. Document CAC assumption or revise down 8% conservatively
3. Reconcile engineering headcount plan
4. Add 1-page sensitivity analysis (best/base/worst case scenarios)

Post-fixes, forecast is defensible and board-ready.
Estimated time to board: 48 hours with urgent fix prioritization.

Note: This is illustrative financial validation, not advice. Consult your CFO and auditor for material decisions.

About this skill


name: validate-data-finance description: Use when Audits a finished workbook like a senior reviewer before it goes to leadership.

Validate Data Skill

Checks methodology, confirms the analysis answers the right question, audits calculations, runs anomaly detection, and validates that the narrative is supported by the data, using a severity framework where critical issues are release-blocking.

What you get

  • Ships a structured validation report
  • behaves like an internal audit pass.

Customize your output

  • Point it at your own workbooks/datasets and adapt the output structure to your reporting standards.

Example output

A validation that flagged duplicate records, impossible margins, and systematic under-forecasting.

Best for

Analysts, controllers, and reviewers.

SKILL.md preview

SKILL.md
---
name: validate-data-finance
description: Use this skill to audit a finished financial workbook like a senior reviewer would before it goes to leadership, checking methodology, calculations, and narrative accuracy.
version: 1.0.0
category: Finance / Data Quality
author: AgentVolt
license: proprietary
tags:
  - finance
  - data-quality
  - flagship
---

# Validate Data Skill

Runs the review pass a senior finance leader would run before a workbook goes to leadership: checking that the analysis answers the right question, the math holds up, and the narrative matches the numbers.

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