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Draft OKRs that measure outcomes

Converting outputs to the outcome each output should move is the core OKR discipline, and the self-audit for KR-hits-while-objective-fails catches the misalignment that makes teams cynical about the whole ritual. Anti-goals with floors prevent the classic quarter where growth eats quality.

BusinessPlanSuggested model: openai/gpt-5.6-sol

Last reviewed July 17, 2026

The prompt
Draft OKRs for {{team}} for {{period}}.

Context and ambitions: {{context}}

Produce 2-3 objectives. For each:
1. Objective: qualitative, inspiring but falsifiable in spirit, describing a changed state of the world, not a project name.
2. 3 key results: each a metric movement (from X to Y by date), where X is the real current baseline from my context or [BASELINE?] if I did not give one. No activity KRs ("launch the feature" is output, not outcome; convert it to the metric the launch should move).
3. The anti-goal: the metric we must not sacrifice to hit these KRs, with its floor.
4. A confidence score per KR (0.5 is a proper stretch; 0.9 belongs in a roadmap, not an OKR).

Then audit your own draft: flag any KR that the team could hit while the objective fails, and fix it. That mismatch is the most common OKR bug.
Run in idaptOpens a new chat with the prompt prefilled. Nothing sends until you press send.

Fill in the variables

VariableWhat it isExample
{{team}}Whose OKRsthe activation squad
{{period}}The cycleQ4 2026
{{context}}Current numbers and ambitionssignup-to-active is 22 percent, target mid-30s; support load must not grow

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