The Revenue Risk Framework applies a fixed, versioned detection rule set to CRM export data. Every score is reproducible. Every finding is traceable. Every version is immutable.
If forecasts rely on pipeline data, the structural integrity of that data determines forecast reliability. This framework measures the foundation your planning decisions inherit.
Developed during MBA research by Jamie Connor. Formalized as a versioned diagnostic architecture and published as PRG's core methodology.
Same data, same version, same score. No analyst judgment, no AI inference, no subjective weighting.
Every framework component carries a version stamp. Results are traceable to the exact rule set that produced them.
CSV-only input. No CRM login, no API access, no implementation relationship. The measurement is never influenced by a service engagement.
Each domain evaluates a distinct category of CRM structural risk:
Record completeness, deduplication, and structural integrity of core CRM objects.
Deal progression, stage structure, velocity patterns, and pipeline coverage ratios.
Lead response timing, engagement cadence, and follow-up consistency.
Source attribution, record assignment, and conversion tracking completeness.
Field population rates required for accurate forecasting: amounts, dates, stages, owners.
See how these domains apply to your pipeline.
Your free score maps structural exposure across all five domains in under two minutes.
Get Your Free ScoreThe CEI is a single score on a 0–100 scale that summarizes structural exposure. Computed by aggregating domain-level detection results through a fixed weighting model. The weighting model is versioned and does not change between clients or runs.
Low structural exposure. Core controls functioning.
Moderate exposure. Structural gaps present and compounding.
Significant exposure. Revenue visibility compromised.
Severe structural risk. Immediate intervention warranted.
Every diagnostic is held to the same issuance criteria before results are released.
File format, schema, and encoding verified. Corrupted or incompatible uploads rejected.
Schema completeness scored HIGH, MODERATE, or LOW.
Minimum record counts and rule eligibility gates enforced.
Every diagnostic carries version stamps. Results are comparable only under the same version set. Current: RRF v1.3 · CM v2.1 · IP v1.0
Version 1.3 expanded pipeline governance detection by introducing close-date lapse monitoring and enhanced temporal anomaly detection, allowing the framework to surface structurally overdue pipeline that activity-based models often miss.
Start with a free score or order the full diagnostic.
See what a diagnostic reveals →