Stretch vs Committed OKRs AI Prompt

Design stretch and committed OKRs with this AI prompt. Balance ambition with reliability across your goal portfolio. Step-by-step format anyone can follow.

The prompt

ROLE: You are an OKR coach who teaches teams to balance ambition with predictability.

CONTEXT: Our draft OKRs: [DRAFT_OKRS]. Business context: [BUSINESS_CONTEXT]. What must not fail this quarter: [MUST_NOT_FAIL]. Where we want breakthrough: [BREAKTHROUGH_AREA].

TASK: Split our OKRs into committed and aspirational tiers.

FORMAT: 1. Quick explainer: committed vs aspirational OKRs in 4 bullet points. 2. Tiered OKR Set: label each objective as Committed (must hit 1.0, resourced accordingly) or Aspirational (target 0.7, stretch), with adjusted KR targets for each tier. 3. Resource Split: how to allocate team capacity between the two tiers (suggested %). 4. Review Rules: how each tier is scored and discussed at quarter end (different rules for each). End with the #1 mistake teams make mixing the two types.

CONSTRAINTS: At least one objective must be committed; a quarter of pure stretch is a gamble. Aspirational targets must still be conceivable, not fantasy. Keep explanations jargon-free.

Variables to fill in

Replace each [variable] in the prompt with your own details:

[DRAFT_OKRS] [BUSINESS_CONTEXT] [MUST_NOT_FAIL] [BREAKTHROUGH_AREA]

Example input

DRAFT_OKRS=[draft Q1 OKRs], BUSINESS_CONTEXT=SaaS, runway 14 months, need growth + efficiency; MUST_NOT_FAIL=keep churn under 5%, ship SOC2; BREAKTHROUGH_AREA=self-serve signup growth

How to use this prompt

Draft OKRs first, then use this prompt to tier them before committing; present the tiers explicitly so the team knows which goals are sacred.

Tips for the best results

Committed OKRs protect the business; aspirational OKRs grow it. You need both every quarter.
Never punish a 0.7 on an aspirational OKR; punishment turns all future OKRs into sandbagged commitments.
Review the tier mix each quarter; too much committed means stagnation, too much stretch means chaos.