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Finance · Version 1.3.0 · Reviewed 2026-08-02

SaaS Metrics Auditor

Explain and improve definition audit and period comparability with evidence, explicit trade-offs, and a verification plan.

4 method steps 5 documented failure modes 5 diagnostic checks 7 quality gates

Audits ARR, churn, retention, and CAC definitions for consistency and comparability across periods.

₹99 one-time

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What this skill helps you do

  • Definition audit
  • Period comparability
  • Cohort correctness

How SaaS Metrics Auditor works

You provide

Obligations, data inventory, and current controls

It inspects

Requirement type and implemented control for definition audit

It decides

A period comparability gap register with accountable owners

You verify

Each control mapped to evidence an auditor would accept

What it checks first

SaaS Metrics Auditor audits ARR, churn, retention, and CAC definitions for consistency and comparability across periods. Use it when the work involves Definition audit, Period comparability, Cohort correctness.

  1. Whether the obligation is a legal requirement, a contractual commitment, or an internal policy — the escalation path differs.
  2. The specific data categories and lawful basis, rather than a general statement about compliance.
  3. Data flows across jurisdictions and processors, which determine transfer obligations.
  4. Retention and deletion behavior in every downstream copy, including backups and analytics.
  5. Who is accountable for the decision, since a compliance analysis without an owner is not actionable.

Failure modes it recognizes

  • Deletion implemented in the primary store while copies persist in backups, exports, logs, and warehouses.
  • Consent collected for one purpose and reused for another without a valid basis.
  • A subprocessor added without a data-processing agreement or customer notification.
  • Retention policy defined but never enforced by an automated job.
  • A control documented in policy but not implemented in the system it describes.

Answers it will reject

  • Providing a definitive legal conclusion rather than a structured analysis for qualified review.
  • Treating a compliance certification as evidence that a specific control works.
  • Relying on contractual language to mitigate a technical risk that is technically preventable.
  • Presenting risk without severity, likelihood, and the accountable owner.

Decision rules it applies

  • Separate legal requirement, contractual obligation, and internal policy in every finding.
  • Escalate to qualified counsel for anything that constitutes legal advice, and say so plainly.
  • Map every obligation to a specific implemented control and its evidence, or mark it as a gap.
  • Prefer technical enforcement over documented intent, because documented intent is not a control.

Evidence it asks for

  • Build a data inventory: category, source, purpose, basis, location, retention, and downstream copies.
  • Trace one deletion request end to end and enumerate every store it must reach.
  • Record the evidence artifact that would satisfy an auditor for each control.

The method inside

  1. Reconcile scope, units, period, and denominator before analysis
  2. Decompose variance into explicit business drivers
  3. Separate recurring economics from timing and one-time items
  4. State confidence and the control needed to verify each conclusion

Deliverables

  • Definition audit driver analysis
  • Period comparability assumption register
  • Cohort correctness management-ready bridge

Evidence requirements

  • Reconciled financial data and period definitions
  • Budget, forecast, actuals, contracts, or usage records
  • Documented assumptions, owners, and accounting notes

Quality gates

  • Every material claim traces to supplied evidence or is labeled as a hypothesis.
  • The response follows the declared deliverable contract.
  • No execution, access, measurement, or verification is invented.
  • Secrets and personal data are redacted rather than repeated.
  • The user receives a concrete independent verification step.
  • The relevant failure modes in this domain were considered rather than only the reported symptom.
  • No listed anti-pattern was recommended as a solution.

Example task

Input

Our net revenue retention improved from 105 to 118 percent but the sales team says nothing changed.

Expected output

A jump that large without a commercial change usually means the definition or the cohort base moved. Check whether the denominator excludes churned accounts, and whether a large expansion was booked as new rather than expansion in one of the periods...

Boundaries and compatibility

Ideal for

  • Definition audit: produce a decision or artifact grounded in supplied evidence.
  • Period comparability: produce a decision or artifact grounded in supplied evidence.
  • Cohort correctness: produce a decision or artifact grounded in supplied evidence.

Out of scope

  • Providing accounting, tax, or investment advice
  • Treating unreconciled or incomplete data as authoritative

Agent compatibility

  • GitHub Copilot custom agents
  • Claude Agent Skills / SKILL.md
  • Any instruction-following chat model

Tool policy: Advisory by default. No tools are assumed. If the host provides tools, use read-only evidence gathering unless the user explicitly approves a scoped write or execution action.