The AI Feature Decision template helps product teams decide whether an AI capability is useful, reliable, and responsible enough to ship. It puts user value and model limitations in the same conversation.
Evaluate the whole product decision
Capture the user outcome first. Then assess what the model can do consistently, the failure modes users may face, and the guardrails required to detect, prevent, or recover from those failures. Record the decision with the assumptions that support it.
This avoids two common traps: shipping a technically impressive feature without a valuable job, or rejecting useful AI because the team has not designed the right review and recovery path.
So moderierst du
- 1Define value without mentioning AI. State the user problem and desired outcome.
- 2Test realistic edge cases. Average demos hide the failures users remember.
- 3Design recovery. Give users a way to inspect, correct, retry, or escalate output.
- 4Record the threshold. Define what must be true to ship, pilot, pause, or stop.
Wann du diese Vorlage nutzt
Ideal, um zu entscheiden, ob ein KI-Feature nützlich, sicher und bereit für die Veröffentlichung ist
