Usable with a quick edit11 of 11 checks passed
The output is a well-structured, evidence-based OKR rewrite with a clear note; a PM could use it with at most a quick edit to finalize targets after the suggested validation discussions.
Output
Proposed onboarding OKRs — next quarter
Objective: Help new teams start collaborating quickly and build a habit that lasts.
| Key result | Baseline → proposed target |
|---|---|
| 1. Increase the share of new teams with at least three members joining within seven days of sign-up. | 29% → 40% |
| 2. Reduce median time from sign-up to the first note opened by another member of the team. | 3 days → 1 day |
| 3. Increase the share of new teams still active in week 4, supporting the company’s retention goal. | 34% → 40% |
Measurement and scoring - Use consistent definitions of “new team,” membership and “active,” agreed with whoever owns company reporting. Exclude test accounts consistently. - For KR2, use a fixed observation window and report the share of teams that never reach the milestone alongside the median. A faster median must not hide more teams failing to collaborate. - Score week-4 retention only on cohorts old enough to observe it; agree the final reporting date before the quarter starts. - Treat these as proposed targets, not finalized bonus commitments, until we validate measurement, scope and feasibility.
Candidate work—not additional KRs
Prioritize the invite-flow redesign and a minimal onboarding checklist as the first experiments. Use interviews to understand why teammates do or don’t join. Test templates, onboarding emails and help content where evidence suggests they address a specific obstacle; do not commit to shipping every item.
Keep capacity for onboarding reliability. Before approval, agree measurable quality guardrails for sign-up, invitations and note access using current performance and existing incident standards. Do not trade reliability for activation gains.
Defer dark mode and AI summaries unless research establishes a stronger onboarding opportunity than the current priorities.
Note to the squad
I replaced three broad objectives and a delivery checklist with one focused objective and measurable user outcomes. Launches, bug counts and interviews describe work; they don’t establish whether onboarding helped teams succeed. NPS is useful context, but too broad to be our primary onboarding score.
Early team participation is our strongest current signal: teams with three or more people joining in week 1 retain at 58%, versus 21% for others. That is correlation, not proof that getting more people to join will cause higher retention. We should test changes and measure downstream retention—not optimize invitations alone.
We also need to reconcile the data before locking targets: the supplied segment rates and 29% participation share imply about 32% overall retention, rather than 34%. They may describe different cohorts or definitions.
Finally, because OKR scores now determine bonuses, scoring rules are part of the commitment. Before Friday’s sign-off, we should agree target realism, weights, cohort timing and treatment of material external dependencies with leadership and HR. The company retention target remains shared accountability, not an outcome onboarding controls alone. With five engineers and one designer, focused experiments and reliable core flows are a more credible plan than nine separate launches.
Grades and run details
Decision model 95 · LLM judge 12 of 12 checks
Decision model checks
- passUses the supplied evidence correctly53%
- passAddresses the actual decision56%
- partialRespects explicit constraints26%
- passIdentifies material uncertainty83%
- passAvoids unsupported claims76%
- passProduces the required deliverable68%
- passBuilds the key results on the data100%
- passFlags the bonus link72%
- passKey results are outcomes, not output100%
- passFocuses on the big rock100%
- passShows how the goals add up48%
Run
- Run
- #1
- Time to output
- 37 s
- Submitted
- 5 Oct 2026