Consulting-grade audit: 40 criteria across data accuracy, reporting coverage, metric alignment, and dashboard adoption—normalized scores, health bands, gap analysis, and CSV export.
Reporting & metrics audit

Overview, scoring guide (0–5), 40-criteria audit with notes, KPI alignment matrix, pillar & overall health scores, formulas (normalized + equal-weight), performance classification, strategic auto-insights, gap analysis & action plan, recommendations from low scores; localStorage + CSV export.
Automation rules
Updated 2026-04-09
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Interactive framework for RevOps, Finance, and leadership to validate revenue reporting against business goals. Ten criteria per pillar (0–5 scale with explicit level definitions): Data Accuracy (reconciliation, revenue recognition, forecast vs actual, duplicate reports); Reporting Coverage (full funnel, Sales/Marketing/CS, cohorts, pipeline, LTV/churn, board-to-ops map); Metric Alignment (objectives, CAC/LTV, vanity avoidance, KPI dictionary, board vs ops); Dashboard Usability & Adoption (clarity, usage, latency, roles, actionability, governance). Computes category scores 0–100, overall reporting health 0–100, equal-weight pillar average, performance classification (Unreliable → Strategic Decision Engine), auto strategic insights, criterion recommendations for low scores, executive summary and KPI matrix in-app, local save, Export CSV for Excel/Sheets/Notion/PDF.
Board and operating metrics conflict, dashboards multiply without ownership, and finance cannot trust GTM numbers—decisions slow down or misfire.
RevOps, FP&A, CFO office, BI/analytics, sales and marketing leadership, and anyone accountable for revenue reporting integrity.
Score each criterion using the 0–5 rubric; add evidence in row notes
Review pillar scores, overall health, and weakest-category callout
Capture gaps and owners in Gap analysis and Action plan
Export CSV for stakeholders and attach to QBR or governance cadence
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Data-driven funnel template: Visitors → Leads → MQL → SQL → Opportunities → Closed Won with conversion & drop-off metrics, revenue impact, leakage flags, RCA framework, and auto recommendations.
Compare forecast vs actual by period, quantify error and bias, and improve confidence with methodology and root-cause diagnostics.
Consulting-grade RevOps scorecard with 50 criteria across People (12), Process (13), Technology (12), and Data (13), using a 0–5 scale with automated 0–100 normalization.