These are the failure modes MxM tests across forecast, pipeline, CRM, billing, and revenue governance. Each one can distort the number before it reaches the board. The public Red List explains the patterns most teams can recognize. The full Scorecard validates all 20 against actual operating evidence.
Public Failure Modes — 10 explained
Fully explained. Name, detection signal, stakeholder friction, forecast impact, control fix, and related reading. These are the patterns most teams can recognize before a full analysis.
Names and subtitles visible. No detail. Each is validated through the paid Scorecard against your actual CRM, forecast, billing, and revenue handoff evidence.
Scorecard-Only Failure Modes
The remaining failure modes are visible by name. Each is validated through the paid Scorecard against your actual CRM, forecast, billing, and revenue handoff evidence.
Scorecard-Only
Sandbagging
Deliberate understatement of pipeline to manage expectations and protect attainment
Diagnosed through the Scorecard against your actual CRM and forecast data.
Scorecard-Only
Close Date Gaming
Systematic manipulation of expected close dates to defer accountability across periods
Diagnosed through the Scorecard against your actual CRM and forecast data.
Scorecard-Only
Late-Stage Compression
Pipeline artificially concentrated in late stages near period end to show momentum
Diagnosed through the Scorecard against your actual CRM and forecast data.
Scorecard-Only
Coverage Blend Trap
Coverage ratios blended across segments to hide gaps in specific product lines or regions
Diagnosed through the Scorecard against your actual CRM and forecast data.
Scorecard-Only
Definition Drift
CRM stage definitions that have shifted from their original criteria over time without governance review
Diagnosed through the Scorecard against your actual CRM and forecast data.
Scorecard-Only
Forecast Lock
Revenue number reverse-engineered from board or CEO expectations rather than pipeline data
Diagnosed through the Scorecard against your actual CRM and forecast data.
Scorecard-Only
Forecast Decay Velocity
Rate at which AI forecast accuracy degrades as models age without retraining on current pipeline behavior
Diagnosed through the Scorecard against your actual CRM and forecast data.
Scorecard-Only
Expansion Double Counting
Expansion revenue recorded in both new and existing ARR categories, inflating net growth metrics
Diagnosed through the Scorecard against your actual CRM and forecast data.
Scorecard-Only
Conversion Model Lag
AI conversion predictions trained on historical data that no longer reflects current buyer behavior or ICP
Diagnosed through the Scorecard against your actual CRM and forecast data.
Scorecard-Only
AI on Dirty Data
Revenue AI tools operating on CRM data that has not passed a baseline controls audit
Diagnosed through the Scorecard against your actual CRM and forecast data.
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Check your revenue integrity readiness.
Answer 10 self-assessment questions. Get a directional risk band and see which revenue-control areas may deserve deeper evidence review.
The Readiness Check is self-reported. The Scorecard validates the Red List against operating evidence.
The Forecast Integrity Scorecard validates all 20 failure modes against your actual CRM, forecast, billing, and revenue handoff evidence. Delivered as a board-ready findings baseline in three weeks.
Illustrative failure mode definitions. Actual patterns vary by company stage, CRM configuration, and forecast process maturity.
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Three weeks to board-ready findings. No PII, no API access.