Evidence-Based Management and Empirical Value Measurement
Measure to decide, not to report
Evidence-Based Management (EBM) is a framework for improving value delivery under uncertainty by grounding decisions in evidence. Its logic is empirical: set a goal, make the current state and the desired state transparent, form hypotheses, run small experiments, inspect results, adapt. It complements Scrum's team-level empiricism with product-level empiricism.
EBM organizes measures into four Key Value Areas:
- Current Value (CV) - value delivered now: revenue, cost reduction, market share, customer satisfaction.
- Unrealized Value (UV) - the potential value available by meeting unmet needs; the gap between current and desired outcomes.
- Ability to Innovate (A2I) - the organization's capability to deliver new value: eliminating waste, reducing technical debt and defects, feature usage, innovation rate.
- Time-to-Market (T2M) - how quickly value can be delivered and validated: lead time, release frequency, time to learn.
Key Value Measures sit under each area. Distinguish leading indicators (which predict) from lagging indicators (which confirm), and prefer measures that inform a decision over vanity metrics that only flatter.
Traps
- Treating UV as “the value in the backlog”; it is the opportunity gap, not a sum of estimates.
- Reading A2I as revenue; it is capability - debt, defects, waste, responsiveness to change.
- Reducing T2M to development speed and ignoring time to validate and learn.
- Using EBM as a reporting regime rather than a decision tool, or optimizing one KVA at the expense of another.
Rule of thumb
For any proposed metric, name the KVA it belongs to, say whether it leads or lags, and state the decision it would change. If no decision changes, drop it.