Usable with a quick edit10 of 11 checks passed
The output is accurate and well-structured; the only missing piece is an explicit note on the safe-target risk, which could be added with a quick edit without re-checking evidence or reasoning.
Output
Onboarding squad OKRs, next quarter (draft for Friday)
Objective: Make Fieldnote the place new teams get started.
- KR1: Raise the share of new teams still active in week 4 from 34% to 40%. (Company KR, shared with leadership.)
- KR2: Raise the share of new teams with three or more members joining in week one from 29% to 50%.
- KR3: Cut the median time from sign-up to the first note opened by a second member from 3 days to 1 day.
- Guardrail: Zero open P1 bugs at quarter end, with no new P1s in onboarding flows.
Delivery plan (tracked, not scored): - Invite flow redesign and onboarding emails first, since they target KR2 and KR3. - Onboarding checklist next, then the five templates. - Ten user interviews with teams that stalled after sign-up, to learn why people didn't invite others. - Dark mode, AI summaries, and the four help articles are paused. If leadership has committed to any of them, let's discuss before Friday.
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Note to the squad
Hi all. I reworked the draft before it goes to leadership. Here's what changed and why.
1. One objective, tied to the company goal. The draft had three objectives, and several items (dark mode, AI summaries) didn't connect to the week-4 number. Everything now points at one goal: new teams getting started.
2. We're targeting the lever the data points to. Teams with three or more people joining in week one stay active at 58% in week 4. Everyone else stays at 21%. Only 29% of new teams get there today. Getting more teams to that threshold is the biggest lever we can see. It's correlation, though, not proof. Teams that invite friends early may already be more committed. The invite flow work is our test of whether the link is causal, so we'll watch it closely.
3. Outcomes over outputs. Since bonus multipliers now depend on the OKR score, I want the score to measure whether we moved the number, not whether we shipped things. A "ship 5 templates" KR scores 100% even if nobody uses the templates. The delivery plan still shows what we're building, and it has no bearing on the score.
4. Fewer KRs. Ten KRs across three objectives meant spreading five engineers and a designer very thin. Three KRs plus a guardrail give us a clear focus.
5. Bugs stay in as a guardrail. I cut "fix 50 bugs" because a count rewards small fixes over important ones. Zero P1s is the real bar: we shouldn't trade quality for onboarding speed.
6. Targets I'd like your pushback on. The 50% figure for KR2 is my estimate of what would move week-4 activity toward 40%, based on the 58% and 21% split. If the link is weaker than it looks, that target may be wrong, and I'd rather find out in week three than week twelve. Likewise, the one-day target in KR3 is a judgment call. Tell me if the invite flow can't realistically get there.
Thanks for the work so far. The draft's raw material was solid. It just needed one thread running through it. Let's review progress at week six, and I'll bring any changes to the team first.
Grades and run details
Decision model 100 · LLM judge 92
Decision model checks
- passUses the supplied evidence correctly79%
- passAddresses the actual decision89%
- passRespects explicit constraints35%
- passIdentifies material uncertainty86%
- passAvoids unsupported claims70%
- passProduces the required deliverable94%
- passBuilds the key results on the data100%
- passFlags the bonus link91%
- passKey results are outcomes, not output79%
- passFocuses on the big rock100%
- passShows how the goals add up76%
Run
- Run
- #1
- API response time
- 15 s
- Submitted
- 8 Oct 2026