Decision reversal rate
The share of decisions later overturned or replaced.
Formula
Decision reversal rate
(decisions reversed, reopened, or superseded / total decisions in period) * 100
Unit
percent
Direction
Lower is better
Cadence
Monthly for active transformation and product governance.
Numerator
Reversed, reopened, or superseded decisions
Denominator
Total decisions in period
Worked Example
Review of decisions made in the last 60 days.
Reversed or reopened decisions
8
Total decisions
50
Calculation
8 / 50 * 100
Result
16%
Interpretation
Decisions are not consistently becoming stable commitments.
Recommended action
Inspect evidence quality, rights, and stakeholder inclusion for reversed decisions.
Why it matters
This metric helps leaders see whether the decisions layer is healthy enough to support execution and AI readiness.
What it reveals
Whether decisions are stable commitments or recurring sources of rework.
Manual assessment method
Review decisions over a period and count how many were superseded, reopened, or replaced by later decisions.
Lapemo calculation path
Supported by superseded decision records and audit events when decision lineage is captured.
Interpretation Bands
Healthy
0-10%
Low and manageable.
Watch
11-20%
Rising signal that should be reviewed.
Risk
21-35%
High enough to indicate structural friction.
Critical
>35%
Likely blocking execution or governance quality.
Required inputs
- Decision log
- Decision status
- Superseded link
- Reopen date
Data sources
- Decision log
- Audit trail
- Operating review notes
Common pitfalls
- Counting planned iteration as reversal
- Ignoring informal reversals
Recommended actions
- Improve decision evidence
- Document rationale
- Separate experiments from commitments
Measure Before You Scale
Measure the operating model before AI amplifies it.
Use the Metrics Library to understand what to diagnose, what to monitor, and where Lapemo can turn framework metrics into operating intelligence.