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Draft OKRs That Cascade From Company Goal to Team

Drafts outcome-based OKRs that ladder up to the company goal and weeds out tasks masquerading as key results.

Optimized for
ChatGPTClaude
§ When to use this

OKRs fail in predictable ways: objectives that are really tasks, key results that count activity instead of outcomes, and team goals that have no visible connection to what the company actually needs this quarter. This prompt is built to catch all three. It asks for objectives that are inspiring and time-bound, key results that are numeric with a baseline-to-target, and an explicit ladder showing how each objective serves the top company priority. The sharpest feature is the instruction to flag any key result that's secretly a project, like 'launch the new dashboard,' and rewrite it as the outcome that launch is supposed to produce. That single discipline separates real OKRs from a rebranded to-do list. The confidence levels (commit versus stretch) and named data sources keep the set honest and measurable. Use it at the start of a planning cycle, then bring the draft to your team to pressure-test, since OKRs work best when the people doing the work shape the targets.

§ The Prompt— fill in the fields, then copy or open in a tool
§ Customize0/5 fields filled
your prompt — fill the fields above
Act as an OKR coach helping [TEAM OR FUNCTION] set objectives for [QUARTER OR TIMEFRAME]. The company-level priority this period is: [TOP COMPANY GOAL]. Our team's mandate is: [TEAM MISSION], and the metrics we own are: [METRICS WE INFLUENCE]. Draft 2-3 Objectives that are qualitative, inspiring, and time-bound, each with 3 Key Results that are numeric, outcome-based (not task lists), and have a clear baseline-to-target. For every Key Result, note the data source and a stretch-vs-commit confidence level. Then flag any KR that is actually a project disguised as an outcome, and rewrite it. Show how each Objective ladders up to the company goal.
Open with your prompt →ChatGPTClaudeSends your filled-in prompt straight into a new chat.
§ Example Output

What you can expect back

Objective 1: Make expansion the default outcome of a healthy account. KR1: Lift net revenue retention from 104% to 112% (source: billing system; commit). KR2: Grow accounts with an active expansion conversation from 30% to 55% (source: CRM; stretch). KR3: Reduce time-to-value from 21 to 12 days (source: onboarding tracker; commit). Objective 2: Turn support into a retention engine, not a cost. KR1: Raise support CSAT from 4.1 to 4.5 (source: ticket survey; commit). KR2: Cut repeat-contact rate from 22% to 14% (source: helpdesk; stretch). Flagged: an earlier draft listed 'launch a health-score model' as a KR; that's a project. Rewritten as the outcome: 'reduce surprise churn (accounts that churn without a prior risk flag) from 40% to 15%.' Ladder: higher retention and faster value directly support the profitability goal by lowering the cost of growth.

Illustrative example — your results will vary by tool and inputs.

§ Pro Tips

Get sharper results

  • 01If a key result could be 'completed' by shipping something, it's a task. Make the model restate it as the result that shipping should cause.
  • 02Cap it at two or three objectives. Teams that set five objectives are really setting a wish list.
  • 03Always name the data source per KR. A key result you can't measure on day one is a slogan.
  • 04Mark each KR commit or stretch so the team knows what's a promise versus an ambition.
§ Variations

Adapt it for your case

Individual OKRs

Swap the team inputs for a single person's role to draft personal OKRs that ladder up to the team's.

Scoring at quarter-end

Paste actuals and ask the model to score each KR 0.0-1.0 and write a two-line grade narrative.

Anti-pattern audit

Paste existing OKRs and ask it to flag every vanity metric, sandbagged target, or disguised task.

Best For — Roles
Tags#okrs#goal-setting#alignment
§ FAQ

Common questions

How many objectives and key results should a team have?

Aim for two to three objectives with three key results each. More than that fractures focus, which defeats the purpose of OKRs in the first place.

What's the difference between a key result and a task?

A key result is an outcome you measure ('reduce churn to 5%'); a task is work you do ('build a retention dashboard'). The prompt specifically catches and rewrites tasks pretending to be key results.

Should I take the AI's OKRs as final?

No. Use the draft to break the blank-page problem, then have the team that owns the work pressure-test the targets. Ownership of the numbers is what makes OKRs stick.

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