Usable with a quick edit9 of 11 checks passed
The output is clear and actionable; the unsupported correlation claim can be fixed with a quick wording edit, and the rest is solid.
Output
Onboarding squad OKRs, next quarter
Objective 1: New teams get their teammates in during week 1, and stay (supports the company goal: make Fieldnote the place new teams get started)
- KR1: Raise the share of new teams with 3+ people in week 1 from 29% to 45%.
- KR2: Cut the median time from sign-up to the first note someone else opens from 3 days to 1 day.
- KR3: Raise the share of new teams active in week 4 from 34% to 40% (shared with the company KR).
Planned bets, not KRs: onboarding checklist, invite flow redesign, 5 templates, onboarding emails. We'll drop or swap any of them if they aren't moving KR1 and KR2.
Objective 2: Keep the product dependable while we change onboarding
- KR1: Zero open P1 bugs at quarter end, and no P1 open longer than 5 days at any point.
Backlog, not this quarter: dark mode, AI summaries, NPS target, help articles.
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Note to the squad
Thanks for the draft. Here's what I changed and why.
1. Outcomes, not deliverables. Most of the draft listed things we'd ship. We could ship all of it and leave week-4 activity flat. The checklist, invite redesign, templates and emails are now the bets we make to hit the KRs.
2. One clear line to the company goal. Teams where 3+ people join in week 1 are still active in week 4 58% of the time, versus 21% for everyone else, and only 29% of teams reach 3+ today. So KR1 is about getting more teams to that point. Reaching 40% overall probably needs about 45% of teams there, assuming the relationship holds. KR2 measures how quickly a new team sees value from a teammate.
3. Cut and moved. Dark mode, AI summaries and the NPS target have no clear link to the company goal, and NPS isn't something onboarding alone can move. They go to the backlog, not the bin. User interviews and help articles are useful, but as activities inside Objective 1, not KRs. "Fix 50 bugs" rewarded volume over impact, so it became a P1 guardrail.
4. Two caveats to settle before Friday. - The data implies a week-4 rate of about 32% (0.29×58% + 0.71×21%), not the 34% in the company KR. Likely a definition or timing difference, but I'll confirm which baseline we're using. - The 58% vs 21% gap is correlation. Teams that invite people quickly may already be more committed, so the real lift from nudging invites will probably be smaller. That's why KR3 sits next to KR1, so we'll see whether the outcome really moves.
5. The bonus link. Since scores now affect everyone's multiplier, the safe play is to pick easy, output-style KRs. I've deliberately not done that. KR1 and KR2 are stretch targets, and I'd rather be upfront about it than quietly sandbag. Before Friday I'll ask leadership and HR how scores convert to multipliers, and I'll push for 0.7 on stretch KRs to count as a good result. I'll share the answer as soon as I have it. If you think a target is unrealistic, tell me before Friday so we can adjust it openly.
Please reply with objections or number challenges by Thursday noon.
Claims the judge couldn’t find in the brief
- The 58% vs 21% gap is correlation.
- The safe play is to pick easy, output-style KRs.
Grades and run details
Decision model 95 · LLM judge 10 of 12 checks
Decision model checks
- passUses the supplied evidence correctly59%
- passAddresses the actual decision81%
- partialRespects explicit constraints23%
- passIdentifies material uncertainty96%
- passAvoids unsupported claims49%
- passProduces the required deliverable80%
- passBuilds the key results on the data100%
- passFlags the bonus link100%
- passKey results are outcomes, not output73%
- passFocuses on the big rock100%
- passShows how the goals add up59%
Run
- Run
- #1
- API response time
- 25 s
- Submitted
- 5 Oct 2026