okr-builder
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name: okr-builder
description: "Create well-structured OKRs (Objectives and Key Results) for product teams, startups, and individuals. Use when asked to write OKRs, set quarterly goals, define key results, or review existing OKRs. Produces a complete OKR set with objectives, measurable key results, baselines, and a scoring guide."
OKR Builder Skill
Write ambitious, measurable OKRs that connect product work to company strategy. Avoid vanity metrics, output-focused key results, and objectives that sound like task lists.
Reads from / Writes to the Brain
If a professional-brain (brain/) exists, ground in it instead of re-asking for what you already know:
- Read first:
context.md(metric definitions),knowledge/strategy.md(where the product is going), and any openhypotheses/. Runpython3 ../professional-brain/scripts/brain_query.py ./brain "<objective theme>"and carry each fact's provenance tag through — don't set a key result off a[hunch]as if it were[data]. - 📥 Propose to the Brain: after producing, propose logging the chosen objectives + KR targets as a
decisions/record (the period's bet) and any new metric definitions toknowledge/, each provenance-tagged. Show them, get a yes, then write with../professional-brain/scripts/brain_write.py … --commit(append-only, dry-run by default).
Working from a brief
You will often get a short brief without every detail (no baselines, no exact numbers). Always deliver a complete, specific OKR set anyway — do not stop to ask questions and do not leave bracketed placeholders like [target]. Where a baseline or number is missing, infer a realistic value from the brief and the domain, and mark it (assumed — confirm). A clearly-labelled assumed baseline (e.g. "activation 40% (assumed) → 60%") is always better than a blank or an invented-as-fact figure.
OKR Fundamentals
Objective: Qualitative, inspiring, time-bound. Answers "where are we going?"
Key Result: Quantitative, specific, measurable. Answers "how will we know we've arrived?"
The Test for a Good KR
- Can it be scored 0.0–1.0 at the end of the period?
- Does it measure outcome, not output? ("Revenue from new customers increased by 30%" not "Launch 3 features")
- Is it ambitious but achievable? (Aim for 70% attainment as the gold standard)
- Is it within the team's control?
Common OKR Anti-Patterns to Flag and Fix
| Anti-Pattern | Example | Better Version |
|---|---|---|
| Task masquerading as KR | "Launch onboarding redesign" | "New user activation rate increases from 42% to 65%" |
| Vanity metric | "Get 10,000 app downloads" | "30-day retention for new users reaches 40%" |
| Binary KR | "Ship API v2" | "API v2 adopted by 80% of active integrations" |
| Too many KRs | 6+ per objective | Max 3–4 KRs per objective |
| No baseline | "Improve NPS" | "NPS increases from 32 to 50" |
Always flag anti-patterns and offer a rewrite.
Output Format
[Quarter] OKRs — [Team/Product Area]
Objective 1: [Inspiring, qualitative statement]
Why this matters: [1–2 sentence strategic context]
| # | Key Result | Baseline | Target | Measurement Method |
|---|---|---|---|---|
| KR1 | [Measurable outcome] | [Current state] | [Target] | [How measured] |
| KR2 | [Measurable outcome] | [Current state] | [Target] | [How measured] |
| KR3 | [Measurable outcome] | [Current state] | [Target] | [How measured] |
Owner: [Name/Role]
Check-in cadence: Weekly
Repeat for each objective. Recommend 2–4 objectives per team per quarter.
Scoring Guide to Include
At quarter end, score each KR:
- 0.7–1.0 = Excellent (0.7 is the "sweet spot" — if all KRs score 1.0, they weren't ambitious enough)
- 0.4–0.6 = Made progress but missed
- 0.0–0.3 = Missed — needs retrospective discussion
Inputs (infer any not provided — label assumptions)
- Team or individual the OKRs are for
- Quarter and year
- Company or product North Star metric (OKRs should connect to this — if not given, infer a plausible one and label it (assumed))
- Top 3 priorities or goals for this quarter (rough notes are fine)
- Any existing OKRs to review or improve (optional)
Guidelines
- Connect OKRs to the company/product North Star; if it isn't given, infer a plausible one and label it (assumed) rather than asking
- Recommend no more than 3 objectives per team per quarter
- If user provides output-based goals, always reframe as outcomes
- Include a "health check" section flagging which KRs have no current baseline data
- Remind user: OKRs are not performance reviews — they should be ambitious enough that missing them is okay
Quality Checks
- Each KR is measurable with a baseline and target
- No output-based KRs (no "launch X" or "complete Y")
- Maximum 4 KRs per objective
- OKRs connect to the company or product North Star
- Ambitious enough that 0.7 attainment is the expected score
Anti-Patterns
- Do not accept output-based key results — any KR phrased as "launch X" or "complete Y" must be rewritten as an outcome with a baseline and target
- Do not write OKRs without asking for the company or product North Star — OKRs disconnected from the strategic context are just a goal-setting exercise
- Do not write more than 4 KRs per objective — too many KRs dilute focus and make scoring ambiguous at quarter end
- Do not use binary KRs (ship/don't ship) — every KR must be scorable on a 0.0–1.0 scale based on degree of achievement
- Do not skip the health check section on baselines — OKRs without current baselines cannot be scored objectively at quarter end