Use a minimum useful effect before running a test
Define the smallest change that would alter a business decision.
Translate a result into contribution
Suppose 10,000 eligible visits produce 200 orders and each order contributes $25. An extra 20 orders would add $500 before test or rollout costs. That is a gain of 0.2 percentage points in conversion.
Include implementation cost
If rolling out the change costs $600 for the same horizon, that particular lift is not enough on its own. Set an effect that could justify the work and name any guardrail that matters.
Use the target in planning
Plan the required evidence before starting. If traffic is too sparse, test a larger intervention or use a qualitative diagnostic for a smaller question. Keep uncertainty visible at readout.
Try a related tool
Find the share of eligible visits that completed a defined action. Count at most one conversion per visit for this calculation.
