Tasks / Metrics & Experimentation

Draft OKRs

Can the model turn a team's wish list into a few outcome-based OKRs that add up to the company's goals?

Measures the modelTask type v1.1 · 3 tasksLast changed 6 Oct 2026 · ChangelogDifficulty

What AI gets right here, and what you’ll still have to catch

From 17 graded outputs by 7 models. 59% were usable with at most a quick edit.

Reliably right

  1. Builds the key results on the data100% pass
    Key results 2 and 3 are built directly on the first-week joining data and time-to-shared-note data, with baselines from the brief and targets.
    GPT-6.1 Sol · API · Eleven key results and a bonus
  2. Aims the teams with the churn data100% pass
    Uses churn reasons and segment data to aim Payroll at errors, Integrations at 3+ integration adoption, and Core HR at churn reduction and price/value risk, with explicit links.
    GPT-6.1 Sol · API · The goals that don't add up
  3. Reads the 0.95 average for what it is100% pass
    Recognizes the 0.95 average suggests safe targets, and advises against tying bonuses to OKR scores because it would encourage sandbagging.
    GPT-6.1 Sol · API · The goals that don't add up

Where it slips

  1. Flags the bonus link61% pass
    It names the risk of safe targets but only proposes asking leadership how a 70% score will be read, not a concrete fix like separating bonuses from OKR scores.
    Opus 5.5 · Claude · Eleven key results and a bonus
  2. Identifies material uncertainty66% pass
    The output does not name any specific unknowns that could change the OKRs or how they would be resolved.
    GPT-6 Luna · API · Eleven key results and a bonus
  3. Uses the supplied evidence correctly71% pass
    Claims that the gap is correlation and that the safe play is to pick easy KRs are not supported by the brief or arithmetic.
    Sonnet 5.5 · API · Eleven key results and a bonus

How it’s graded

The checks come from what the best product leaders have said about doing this job well on Lenny’s Podcast. Each one names the guest it comes from: follow a name to the idea on the Lenny’s Podcast wiki.

  1. Key results are outcomes, not output

    Is every key result a measurable change in customer or business behaviour, rather than something the team will ship or do?

    Passes when Every key result names a metric with a baseline and a target; shipping work appears only as initiatives that serve them.

  2. Focuses on the big rock

    Does the output cut the goals down to the few that matter most, rather than covering everything the team could do?

    Passes when Few objectives, each with a small number of key results, and says what was dropped and why.

  3. Shows how the goals add up

    Does the output show how each team-level key result contributes to the company-level goals, and flag any that don't?

    Passes when Every key result is linked to a company goal, with the reasoning or data that connects them, and any that serve no company goal are flagged or cut.

Plus our standard checks

Uses the supplied evidence correctly · Addresses the actual decision · Respects explicit constraints · Identifies material uncertainty · Avoids unsupported claims · Produces the required deliverable · and 2 written for each task, which you’ll see in the tasks below.

The tasks

Read the brief, then put up to three outputs side by side, each with the LLM judge’s verdict on every check. Highlights mark what a PM had to fix.

The brief

You're a Staff PM working for Hannah Iyer, Quarry's CPO. The CEO has set the company's OKRs for next quarter, and the four product teams have proposed theirs. Write a memo for Hannah, in no more than 1,200 words: what each team should keep or change so their goals add up to the company's (with the revised key results), and your recommendation on the process questions below. The pack below is everything we have. Not all of it matters equally.

What the model was given6 items: About Quarry, Company OKRs (set by the CEO), Why customers leave (exit surveys, 212 responses), Churn by segment, Team proposals, Process questions
About QuarryHR software for companies with 50 to 500 employees. 420 staff, 2,600 customers. The core HR product is sold per employee; Payroll is a paid add-on.
Company OKRs (set by the CEO)Objective: grow by keeping and expanding the customers we have. Key results: net revenue retention from 101% to 108%; annual gross churn from 14% to 10%; Payroll attach rate from 18% to 25%.
Why customers leave (exit surveys, 212 responses)Payroll errors or complexity: 38%. Price: 24%. Missing integrations: 19%. Moved to an all-in-one competitor: 11%. Other: 8%.
Churn by segmentCustomers using Payroll: 8% a year. Customers without it: 16%. Customers with three or more integrations connected: 6%.
Team proposalsCore HR. Objective: build the best HR platform. Key results: ship the org-chart redesign; ship custom fields v2; raise CSAT from 4.2 to 4.5. Payroll. Objective: make payroll effortless. Key results: cut payroll-error tickets by 40%; raise Payroll attach from 18% to 25%. Integrations. Objective: connect everything. Key result: ship 12 new integrations. Growth. Objective: win more customers. Key results: new logos up 20%; trial conversion from 9% to 12%.
Process questionsThe CEO wants every team to have three objectives 'so everything is covered'. The CFO wants OKR scores to set PM bonuses from next quarter. Last year teams scored 0.95 on average. Planning last quarter took five of the quarter's thirteen weeks.
What a strong answer doesThe answer key the graders mark against

Rewrites each team's goals so they add up to the company's. Core HR's key results are outputs; it should aim at a churn driver it owns or justify its place. Payroll's are close (error tickets connect to the biggest churn reason, and attach links to lower churn), so keep them and make the link explicit. Integrations' 'ship 12' becomes an outcome such as the share of customers with three or more integrations connected (churn 6%). Growth's new-logo goal serves none of the company's key results; re-point it at expansion (such as Payroll attach in trials or upsell) or name it as a deliberate exception. Pushes back on three objectives per team (focus on the few that matter), and on tying OKR scores to bonuses: a 0.95 average already suggests safe targets, and pay would make it worse. Suggests a lighter, shorter planning process.

Critical failures (cap the score at 40)
  • Endorses tying OKR scores to PM bonuses without flagging the risk
Task

Staff-level · v1.0 · synthetic · B2B SaaS, goals, staff-level

The outputs

7 setups answered this brief. Pick up to three to read side by side.

Needs more than a quick edit7 of 11 checks passed

The output invents baseline metrics not in the supplied evidence, so a PM would need to re-check and replace those numbers before using it. The reasoning is otherwise sound, but the factual gaps prevent immediate use.

Output

MEMORANDUM

TO: Hannah Iyer, Chief Product Officer FROM: Staff Product Manager DATE: October 24, 2023 SUBJECT: Q1 OKR Review & Planning Process Recommendations

---

Part 1: Strategic Alignment of Team OKRs

The CEO’s company-level OKR is clear: Grow by keeping and expanding the customers we have.

Our current metrics show the path forward clearly. Customers without Payroll churn at 16% annually, while those with it churn at 8%. Integrations act as a powerful retention anchor (churn drops to 6% for those with $\ge 3$ integrations). Exit surveys pinpoint our vulnerabilities: 38% leave due to payroll errors/complexity, and 19% due to missing integrations.

To hit a Net Revenue Retention (NRR) of 108%, gross churn of 10%, and a Payroll attach rate of 25%, our product teams cannot operate as independent feature factories. Their proposals currently suffer from output-focus (shipping lists of features) rather than outcome-focus.

Below is my assessment of what each team must keep or change, along with revised Key Results (KRs).

---

#### 1. Core HR * Current Proposal: Obj: Build the best HR platform. KRs: Ship org-chart redesign; ship custom fields v2; raise CSAT from 4.2 to 4.5. * Critique: "Build the best HR platform" is a vague umbrella. Org charts and custom fields are outputs, not outcomes. They do not directly map to NRR, churn reduction, or Payroll attach. * What to Keep: The focus on CSAT. Core HR is our baseline; low satisfaction bleeds into overall retention. * What to Change: Core HR must directly support the retention of non-Payroll customers (who churn at 16%) and lay the groundwork for Payroll discovery. * Revised OKRs: * Objective: Make Core HR indispensable to mid-market operations. * KR1: Raise Core HR CSAT from 4.2 to 4.5. * KR2: Increase 30-day post-signup feature adoption for accounts without Payroll from 40% to 65%. (Drives engagement to lower baseline churn). * KR3: Increase Payroll feature discovery interactions (clicks on Payroll upgrade prompts in Core HR) by 50%. (Supports company attach-rate goal).

---

#### 2. Payroll * Current Proposal: Obj: Make payroll effortless. KRs: Cut payroll-error tickets by 40%; raise Payroll attach from 18% to 25%. * Critique: Excellent start. It directly addresses our #1 churn driver (38% leave due to payroll errors) and the company attach-rate goal. * What to Keep: Both KRs are exceptional. They tie directly to business metrics. * What to Change: The team needs a third KR focused on expansion revenue or reducing the complexity cited in exit surveys, rather than just error ticket volume. * Revised OKRs: * Objective: Make payroll effortless, reliable, and irresistible. * KR1: Cut payroll-error support tickets by 40%. * KR2: Increase Payroll attach rate from 18% to 25%. * KR3: Reduce time-to-run-payroll (median minutes per run) from 18 minutes to 10 minutes. (Directly attacks "complexity" cited in 38% of churned exit surveys).

---

#### 3. Integrations * Current Proposal: Obj: Connect everything. KR: Ship 12 new integrations. * Critique: "Ship 12 integrations" is a classic output trap. We could ship 12 unused integrations and see zero impact on churn. Customers with $\ge 3$ integrations churn at just 6%; 19% leave due to missing integrations. * What to Keep: The expansion of our ecosystem footprint. * What to Change: Pivot from counting shipped integrations to measuring active connection rates and their downstream impact on customer retention. * Revised OKRs: * Objective: Embed Quarry into our customers' existing tech stacks. * KR1: Increase the percentage of customers with 3+ active integrations connected from 22% to 35%. * KR2: Drive integration adoption in the top 5 most-requested categories (Accounting, Time-Tracking) to 40% of our customer base. * KR3: Reduce churn among customers missing key integrations by 30%.

---

#### 4. Growth * Current Proposal: Obj: Win more customers. KRs: New logos up 20%; trial conversion from 9% to 12%. * Critique: The company OKR explicitly shifts focus from pure acquisition to keeping and expanding what we have. A 20% increase in new logos conflicts with our need to fix retention and payroll friction. Furthermore, acquisition velocity without solved payroll/integration churn just feeds a leaky bucket. * What to Keep: Trial conversion optimization (efficient acquisition). * What to Change: Drop the new logo quota. Shift focus to acquiring the right logos (companies predisposed to adopting Payroll) and improving land-and-expand motions. * Revised OKRs: * Objective: Acquire and land high-LTV customers efficiently. * KR1: Increase free-to-paid trial conversion rate from 9% to 12%. * KR2: Increase trials starting with Payroll bundled or selected from 15% to 25%. * KR3: Reduce Day-90 logo churn for new cohorts from 5% to 3%.

---

Part 2: Recommendations on Process Questions

#### 1. The CEO’s request for three objectives per team * Recommendation: Push back firmly. * Rationale: Requiring three objectives per team (across four teams = 12 objectives) creates cognitive overload and diffuses focus. It forces teams to invent tertiary goals just to fill quota, leading to the exact output-driven KRs we are trying to eliminate. One sharp, outcome-oriented objective per team—tightly wound to the company’s NRR, gross churn, and attach-rate goals—is far more effective. If the CEO insists on structural symmetry, permit sub-objectives, but ensure each team has only one primary North Star objective for the quarter.

#### 2. The CFO’s proposal to use OKR scores for PM bonuses * Recommendation: Strongly advise against this. * Rationale: Tying OKR scores directly to compensation induces the "sandbagging effect." PMs will lobby for hockey-stick inputs disguised as KRs or set artificially low baselines to guarantee a 1.0 score (as evidenced by last year's suspicious 0.95 average). Furthermore, product outcomes depend on engineering execution, market conditions, and sales—factors outside a PM's absolute control. * Alternative: Use OKRs strictly for learning, strategic alignment, and performance calibration (what habits and rigor were applied), separating them entirely from bonus calculations. If bonuses must be tied to metrics, tie them to lagging company-level outcomes (like NRR or ARR), not team-level OKR self-assessments.

#### 3. Planning timeline (last quarter took 5 of 13 weeks) * Recommendation: Institute a strict 2-week timebox for Q1 planning, utilizing a Top-Down/Bottom-Up framework. * Rationale: Spending nearly 40% of a quarter on planning is a massive waste of R&D capital. The paralysis last quarter came from teams guessing what mattered because company goals weren't translated early enough. * Proposed Rules for Next Quarter: * Week -2 (led by CPO/CEO): Company OKRs locked and communicated (done). * Week 1 (led by PMs): Draft team OKRs against company constraints in 5 days. No multi-round negotiations. * Week 2 (led by CPO/Finance): Final cross-functional review, dependency mapping, and sign-off. * Pencils down by the end of Week 2. Any missing alignment is resolved by you (the CPO) rather than endless consensus-seeking.

Claims the judge couldn’t find in the brief

  • Core HR is our baseline.
  • The paralysis last quarter came from teams guessing what mattered because company goals weren't translated early enough.
  • Current 30-day post-signup feature adoption for accounts without Payroll is 40%.
  • Current time-to-run-payroll median is 18 minutes.
  • Current Day-90 logo churn for new cohorts is 5%.
  • Current percentage of customers with 3+ active integrations connected is 22%.
  • There are Payroll upgrade prompts in Core HR with measurable interactions.

Grades and run details

Decision model 73 · LLM judge 7 of 12 checks
Decision model checks
  • failUses the supplied evidence correctly85%
  • passAddresses the actual decision56%
  • passRespects explicit constraints36%
  • failIdentifies material uncertainty68%
  • partialAvoids unsupported claims59%
  • passProduces the required deliverable69%
  • passAims the teams with the churn data97%
  • passReads the 0.95 average for what it is99%
  • passKey results are outcomes, not output35%
  • passFocuses on the big rock51%
  • partialShows how the goals add up30%
Run
Run
#1
Time to output
9 s
Submitted
5 Oct 2026

Usable with a quick edit10 of 11 checks passed

The memo is complete, well-structured, and actionable; a PM could use it with minor edits to fill in baselines, which the memo already flags as needed.

Output

MEMO To: Hannah Iyer, CPO From: Staff PM Re: Aligning team OKRs to the company OKRs, and the process questions

Bottom line

Only Payroll's proposal is close to the company objective (keep and expand existing customers). Core HR and Integrations propose output goals (features and integrations shipped). Growth targets new logos, which move none of the CEO's three key results. I recommend one objective per team, no mechanical link between OKR scores and bonuses, and planning capped at two weeks.

The logic behind the changes

Applying the exit-survey shares to 14% annual churn gives roughly:

  • Payroll errors/complexity: 5.3 points
  • Price: 3.4 points
  • Missing integrations: 2.7 points
  • All-in-one competitor: 1.5 points
  • Other: 1.1 points

Getting to 10% means removing about 4 points.

Payroll attach alone won't get there. Moving attach from 18% to 25% is about 180 more customers. Payroll customers churn at 8% against 16% for the rest, so even if the gap were entirely causal, attach is worth about 0.6 points of churn. Much of the gap is probably selection, because engaged customers adopt more. The same caution applies to the 6% churn among customers with three or more integrations.

Attach could also backfire. Payroll errors are the top exit reason, so pushing a flawed product onto more customers risks creating more of the churn we are trying to prevent.

The bulk of the churn reduction has to come from fixing Payroll quality and integration gaps. I suggest this split, as a planning assumption rather than a forecast:

Exit poolOwnerTargetChurn points
Payroll errors/complexityPayrollcut ~40%~2.1
Missing integrationsIntegrationscut ~33%~0.9
PriceGrowthcut ~15%~0.5
All-in-one competitorCore HRcut ~33%~0.5

Together these come to about 4 points, which is 14% to 10%.

The exit data has limits. We have 212 responses against roughly 360 annual churners, and "payroll complexity" may include non-users who left for a payroll-capable competitor. Week one should confirm the cuts by segment.

Team by team

Payroll: keep most of it, tighten it. - Objective: Make payroll reliable enough that customers stay and others add it. - KR1: Payroll-error tickets per 1,000 pay runs down 40%. Normalise the metric. A raw ticket count will rise as attach grows, and it can also be gamed by making tickets harder to file. - KR2: Payroll-error/complexity-cited exits down about 40% (about 2 points of company churn). - KR3: Payroll attach from 18% to 25%, with a guardrail that churn among Payroll customers stays at or below 8%. Sequence the attach push so it leans on the error fixes, targeting segments with clean data first.

Integrations: change the unit of success. "Ship 12" measures output, and the number is arbitrary. The 19% of exits citing missing integrations tells us which ones matter. - Objective: Make Quarry the system customers can't easily unplug. - KR1: Share of customers with three or more integrations connected, up from [baseline needed] by an agreed number of points. - KR2: Integration-cited exits down about a third (about 0.9 points of churn). - Ship the integrations ranked by exit and lost-customer demand. That list is the initiative that serves the KRs, not a KR itself.

Growth: the biggest change. Point it at existing customers. New logos and trial conversion don't affect NRR, churn or attach. A 20% rise in new logos can even worsen churn if the new customers are poorly fit. - Objective: Grow revenue from customers we already have. - KR1: NRR from 101% to 108%. Growth owns the expansion motion, and the other teams contribute. - KR2: Price-cited exits down about 15% through packaging and bundling experiments (for example Core HR plus Payroll). Don't raise list prices this quarter, since price is already the second-largest exit reason. - KR3: Share of new customers with three or more integrations connected within 90 days (baseline to be set). This is a lifecycle problem, which is a growth skill. - Trial conversion (9%) stays on the dashboard with a floor, but it is not a KR. If you want new-logo growth kept as a goal, that is a conversation with the CEO, because it contradicts his objective.

Core HR: the weakest link to the company goal. "Best HR platform" can't be scored, and two of the three KRs are ship dates. I have no evidence that the org-chart redesign or custom fields v2 affect retention. They may be worth building, but they don't earn a KR slot without that link. - Objective: Make Core HR the reason customers don't need an all-in-one competitor. - KR1: All-in-one-cited exits down about a third (about 0.5 points of churn). - KR2: Share of customers whose employee data is complete enough to switch on Payroll, up from [baseline needed]. This makes Core HR a direct contributor to attach, and Core HR and Payroll should confirm the definition. - KR3: CSAT from 4.2 to 4.5, kept as a health metric. - Org chart and custom fields stay on the roadmap only if exit or customer data shows they close the competitor gap. Core HR should make that case in week one.

Process recommendations

1. Three objectives per team: decline, with a better answer to "covered." The company has one objective with three KRs. Four teams with three objectives each would create twelve objectives pulling in different directions, which is the problem this memo is fixing. It would also lengthen planning. I recommend one objective and two or three KRs per team. To address the CEO's concern about coverage, give each team a short health-metric list with floors, such as uptime, support SLAs and CSAT. Those get monitored without being goals. A team may request a second objective if it can show a distinct customer outcome that the company objective doesn't cover.

2. OKR scores setting PM bonuses: recommend against. Last year's average score of 0.95 means the goals weren't stretching or the scoring was generous. Either way, the scores carry little information. Tying pay to them would make this worse, because teams would sandbag, avoid ambitious outcomes and game the metrics (ticket counts being the obvious example). The revised KRs are outcome-based and only partly within a team's control, which makes mechanical payouts less fair still.

Instead: - Calibrate so a typical score is around 0.7, with explicit committed and stretch levels. - Use scores as one input to performance reviews, judged by the manager in context. - Revisit a compensation link after two quarters of calibrated scoring.

If the CFO needs something concrete, tie any variable pay to the three company-level KRs, not team scores. That gives a shared incentive to cooperate.

3. Planning took five of thirteen weeks (38% of the quarter): cap it at two. - The CEO fixes company OKRs at least two weeks before the quarter starts, so teams never plan in the dark. - Teams draft on a one-page template with one objective and no more than three KRs, each with a baseline, owner and target. - One 90-minute cross-team session reconciles overlaps, using the exit-reason allocation above as the starting point. - Planning overlaps the last two weeks of the prior quarter and ends with sign-off by day 5 of the new one. - Fewer objectives per team will itself shorten the cycle.

Decisions and next steps

  1. Approve the reframing in this memo, and take the Growth change to the CEO before teams redraft, since it is the one most likely to be contested.
  2. Ask Data for baselines this week: share of customers with three or more integrations, exit reasons by segment, and payroll tickets per pay run. Several KRs above can't be finalised without them.
  3. Ask each team to resubmit within one week.
  4. Take the bonus and three-objective positions to the CEO and CFO together, so we have one conversation rather than two.

Grades and run details

Decision model 86 · LLM judge 12 of 12 checks
Decision model checks
  • failUses the supplied evidence correctly16%
  • passAddresses the actual decision85%
  • passRespects explicit constraints31%
  • passIdentifies material uncertainty95%
  • passAvoids unsupported claims52%
  • partialProduces the required deliverable66%
  • passAims the teams with the churn data100%
  • passReads the 0.95 average for what it is99%
  • passKey results are outcomes, not output60%
  • passFocuses on the big rock99%
  • passShows how the goals add up60%
Run
Run
#1
API response time
67 s
Submitted
5 Oct 2026

Check by check

Where the outputs differ comes first. Open a check to read the judge’s reasons. “Mixed” means the two graders disagreed.

Where they differ 4

Uses the supplied evidence correctlyWrongMixed
Gemini 3.5 Flash-Lite · Gemini

The output invents several current-state metrics and product features (e.g., 40% feature adoption, 18-minute payroll run, 5% Day-90 churn, 22% with 3+ integrations, Payroll upgrade prompts) that are not in the brief or derivable from it.

Sonnet 5.5 · API

All statements about the current situation are taken directly from the supplied context or derived by arithmetic from it.

Addresses the actual decisionMixedRight
Gemini 3.5 Flash-Lite · Gemini

The output gives clear recommendations but does not state what result or condition would change them, as required by the criterion.

Sonnet 5.5 · API

The memo commits to a clear set of revised team OKRs and process recommendations, and states what would change the call (e.g., CEO conversation on new logos).

Identifies material uncertaintyWrongRight
Gemini 3.5 Flash-Lite · Gemini

The output does not name any unknowns that could change the decision or say how they would be resolved.

Sonnet 5.5 · API

The memo identifies limits in the exit data, selection bias in churn segments, missing baselines, and says how to resolve them in week one.

Avoids unsupported claimsWrongRight
Gemini 3.5 Flash-Lite · Gemini

It presents interpretations (e.g., cause of planning paralysis, Core HR as baseline) and invented baseline metrics as established facts without labelling them as hypotheses.

Sonnet 5.5 · API

Hypotheses like selection bias and risks are clearly labelled as such; no interpretations are presented as established fact.

All got right 7

Respects explicit constraintsRightRight
Gemini 3.5 Flash-Lite · Gemini

The output is a memo to Hannah, within 1,200 words, and covers the requested team OKR revisions and process recommendations.

Sonnet 5.5 · API

The output is a memo to Hannah, within the 1,200-word limit, and addresses the requested decisions.

Produces the required deliverableRightRight
Gemini 3.5 Flash-Lite · Gemini

The memo is complete, in the right form, for the right reader, within the word limit, and a PM could act on it with light edits to the invented numbers.

Sonnet 5.5 · API

The memo provides complete revised KRs and process recommendations that Hannah could act on with light edits.

Aims the teams with the churn dataRightRight
Gemini 3.5 Flash-Lite · Gemini

It uses the churn reasons and churn-by-segment data to aim Payroll at errors, Integrations at 3+ integrations, and Core HR at non-Payroll retention, with explicit links.

Sonnet 5.5 · API

The memo uses exit survey shares and churn-by-segment data to aim Payroll at errors, Integrations at 3+ integrations, Growth at price, and Core HR at all-in-one competitor.

Reads the 0.95 average for what it isRightRight
Gemini 3.5 Flash-Lite · Gemini

It calls the 0.95 average 'suspicious', says it suggests safe targets, and argues tying bonuses would push targets lower, recommending against it.

Sonnet 5.5 · API

The memo flags the 0.95 average as evidence of safe targets, warns tying bonuses would worsen sandbagging, and recommends against it.

Key results are outcomes, not outputRightRight
Gemini 3.5 Flash-Lite · Gemini

All revised key results are measurable changes in customer or business behaviour with baselines and targets; no shipping outputs appear as KRs.

Sonnet 5.5 · API

Every revised key result is a measurable outcome (e.g., error tickets per pay run, exit reductions, attach rate) with baselines and targets; shipping work is explicitly kept as initiatives.

Focuses on the big rockRightRight
Gemini 3.5 Flash-Lite · Gemini

It pushes back on three objectives per team, recommends one primary objective each, and explicitly drops new logos and output-based KRs like shipping 12 integrations.

Sonnet 5.5 · API

The memo cuts each team to one objective with 2-3 KRs, drops new logos and shipping goals, and explains why they don't serve the company objective.

Shows how the goals add upRightRight
Gemini 3.5 Flash-Lite · Gemini

Every team's KRs are linked to company goals (NRR, churn, attach rate) with reasoning, and the new-logo goal is flagged as serving no company goal and cut.

Sonnet 5.5 · API

Every team KR is linked to a company KR (churn, NRR, attach) with arithmetic or reasoning, and the new-logo goal is flagged as serving none and recommended for removal.

Results

Every setup we’ve tested on this task type, across all its tasks and repeats, graded on the current checklist. Provisional The checklist is still being calibrated against our PM.

#Model · HarnessTask scoreDecision modelLLM judgeRunsCritical failures
1GPT-6.1 SolwithAPI100.0100.02None
2GPT-6 AstrawithChatGPT98.5100.03None
3Sonnet 5.5withAPI90.991.72None
4GPT-6 LunawithAPI93.283.32None
5Opus 5.5withClaude90.986.13None
6Gemini 3.8 FlashwithAPI68.270.82None
7Gemini 3.5 Flash-LitewithGemini65.250.03None

About the task

The PM job

Setting a team's goals for the quarter.

Why it matters

Most OKRs are task lists in disguise. Teams ship everything on them and nothing moves.

What good looks like

  • Key results are outcomes, not things to ship
  • Few enough to focus on
  • Each team's goals visibly add up to the company's
  • Kept apart from performance ratings

Deliberately not measured

  • OKR software or formatting
Capability tested

Goal setting

The failure we’re looking for

A task list dressed up as key results

Grading

Decision model and LLM judge, calibrated against a blind PM review