The OKR Designer uses your saved Product Taxonomy for the product list and lifecycle stages, and your saved North Stars to anchor each Objective. You can also add products manually if you haven't completed those tools yet.
Incubate
Measure learning — experiments, interviews, assumptions tested. No revenue or adoption KRs.
Invest
Measure outcomes — adoption, retention, customer success, NPS. Revenue appropriate for external products.
Sustain
Measure stability — uptime, cost efficiency, CSAT maintenance. No growth KRs.
Sunset
Measure transition — users migrated, dependencies removed, support tickets zeroed.
Output: "Ship the new onboarding flow" — describes what the team builds.
Outcome: "80% of new users complete their first workflow without contacting support" — describes what changes for the customer.
The AI will flag output-based objectives and Key Results and propose outcome rewrites. Let it push back.
One product at a time. Open a product, provide context for this quarter, and generate its OKR draft. Edit inline. Challenge any Objective or Key Result to get direct AI feedback. Finalize when you're satisfied.