Validate Unit Consistency
Mixed units are one of the most common causes of model error. Verify unit definitions at input stage and enforce single-unit conventions across formulas.
Teams should maintain a visible unit ledger for high-impact variables.
Check Time Horizon Alignment
Assumptions often fail when time horizons are misaligned. Weekly demand assumptions should not be combined with monthly cost assumptions without explicit conversion logic.
Horizon alignment prevents silent distortion of output quality.
Classify Assumption Confidence
Tag assumptions by confidence level: high confidence, moderate confidence, low confidence. This ranking supports scenario design and helps leaders interpret uncertainty correctly.
Test Dependency Sensitivity
Before release, stress key dependent variables and observe impact magnitude. Sensitivity tests reveal where small assumption errors can create large decision risks.
Record Source Traceability
Every critical assumption should reference a source: policy, contract, benchmark, or observed data. Source traceability reduces downstream disputes and supports audit readiness.
Use A Release Gate
Treat assumption review as a required release gate. A short, standardized gate checklist improves model trust and reduces rework cycles after publication.
Quality assumptions are the fastest route to credible outputs.