Heuristic
Stop research when expected decision value is low
Not every uncertainty deserves resolution.
When it fits
- When the team keeps reducing uncertainty after the preferred action is stable across plausible findings.
When to avoid it
- Leverage-point and information-value heuristics are prompts, not guaranteed effect sizes. Test interventions, monitor side effects and stop when evidence changes.
Why it matters
If new information is unlikely to change the decision, the remaining error cost is small, or delay costs more than likely learning, stop researching and act with monitoring.
An example
The precise error rate remains uncertain, but every plausible estimate still supports the same reversible pilot; further analysis is deferred.
Check your result
A stated stop rule ends analysis without claiming uncertainty disappeared.
Keep this limit in mind
- Leverage-point and information-value heuristics are prompts, not guaranteed effect sizes. Test interventions, monitor side effects and stop when evidence changes.
Connected ideas
Useful withMake causal diagrams traceable to evidence
Evidence and sources
Supports
Value-of-information analysis estimates the expected benefit of collecting further information and can help prioritize which uncertainties deserve more research.
Simplified workplace heuristics do not compute formal EVPI or EVSI and should be used as prioritization prompts only.
Value of Information Analysis in Models to Inform Health Policy · Abstract