Tasks / Product Craft

Make the launch call

Can the model make a clear go / no-go call from mixed launch evidence, checked against the criteria agreed up front?

Task type v1.2 · 2 tasksLast changed 6 Oct 2026 · ChangelogDifficulty

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

From 16 graded outputs by 8 models. 69% were usable with at most a quick edit.

Reliably right

Finds the Scotland breach100% pass
Finds Scotland's refund breach (+66% overall, +143% since 15 Oct), ties it to the supplier change, notes acceptance dip, and holds Scotland.
Sonnet 5.5 · API · Go/no-go for AI substitutions, from the rollout data
Treats the overwrites as data loss100% pass
Treats the overwritten notes on Android 11 as a breach of the no-data-loss criterion and makes fixing the storage-API issue a condition for that platform.
Opus 5.5 · Claude · Offline, on older phones
Addresses the actual decision98% pass
Commits to a clear no-go for 2 Nov, conditional go from 4 Nov for four regions, and no-go for Scotland, with conditions that would change it.
Sonnet 5.5 · API · Go/no-go for AI substitutions, from the rollout data

Where it slips

Limits the downside of being wrong63% pass
It does not name a specific post-launch signal, a threshold that would trigger pause or rollback, or flag any irreversible actions.
GPT-6 Luna · API · Go/no-go for AI substitutions, from the rollout data
Judges the launch against a baseline set now66% pass
Does not name a specific review point or when the team will review results to decide next steps; only gives a pause trigger without a scheduled evaluation.
GPT-6.1 Sol · API · Offline, on older phones
Checks every criterion for every platform69% pass
Android 13's error-free sync is 98.9%, below the 99% threshold, yet the table marks it as 'GO WITH CONDITIONS' instead of 'NO-GO' for that criterion, misapplying the hard launch criteria.
Gemini 3.5 Flash-Lite · Gemini · Offline, on older phones

How it’s graded

Each check is built on how world-class product and growth leaders do this work, as they’ve described it on Lenny’s Podcast, and names the leader it comes from.

Limits the downside of being wrong
Does the call say how exposure is limited if it's wrong: what is watched after launch, the threshold that would pause or roll back, and which parts can't be undone?
Passes when Names the post-launch signal, a threshold or trigger, and the action, and flags anything irreversible (customer communications, pricing, migrations).
Karri SaarinenLenny’s Podcast
Judges the launch against a baseline set now
Does the call name the metric and the current baseline the launch will be judged against, and when the team will review the result to decide what's next?
Passes when Names the success metric, its baseline from the material, and a review point with what each result would lead to.
Todd JacksonLenny’s Podcast

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 · Gets the base of every number right · and 2 written for each task, which you’ll see in the tasks below.

The tasks

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

The brief

You're the PM for Lumen's mobile apps. The launch review for offline sync is on Friday, and marketing has an email booked for Monday to every user. Write your recommendation, in no more than 700 words, with a table checking each launch criterion for each platform: go, no-go or go with conditions, and why. The rollout data, the criteria and the incident log are attached.

What the model was given5 items: About Lumen, launch_criteria.md, rollout_25pct_14_days.csv, incidents.md, the_decision.md

About LumenA notes app for teams, on iOS, Android and the web. Offline sync lets people edit notes without a connection and merges changes when they reconnect.

launch_criteria.md6 lines · Download

# Launch criteria (agreed before the rollout)

1. Crash-free sessions no more than 0.2 points below control, per platform.
2. Sync-conflict tickets under 2 per 1,000 users.
3. Notes synced without error at least 99%.
4. No data loss incidents.

rollout_25pct_14_days.csv8 rows · Download

platform,arm,users,crash_free_sessions_pct,sync_conflict_tickets_per_1000_users,notes_synced_without_error_pct
iOS 17+,control,123600,99.62,0.3,99.5
iOS 17+,offline sync,41200,99.58,0.6,99.4
Android 14+,control,68400,99.55,0.3,99.5
Android 14+,offline sync,22800,99.49,0.8,99.2
Android 13,control,27300,99.4,0.3,99.5
Android 13,offline sync,9100,99.31,1.1,98.9
…

incidents.md4 lines · Download

# Incidents during the 25% rollout (14 days)

- 2 reports of a note's edits being overwritten after a conflict, both on Android 11; engineering recovered both from backups. Root cause: an older Android storage API.
- 1 report of slow sync on iOS, not reproduced.

the_decision.md1 lines · Download

The launch review is Friday: roll offline sync out to 100%, or not. Marketing has a launch email booked for Monday to every user.

What a strong answer doesThe answer key the graders mark against

Checks each criterion per platform. iOS 17+, Android 14+ and Android 13 pass: crash-free sessions within 0.2 points of control (iOS -0.04, Android 14+ -0.06, Android 13 -0.09), sync-conflict tickets under 2 per 1,000, notes synced without error at least 99%. Android 12 and older fails three criteria: crash-free down 0.67 points against control, 4.9 conflict tickets per 1,000, 96.1% synced without error; and the two overwritten-note incidents were on Android 11, which breaks 'no data loss' (both recovered from backup, root cause an older storage API). Recommends go for iOS, Android 13 and newer, and no-go for Android 12 and older until the storage issue is fixed and re-tested; the Monday email should only go to users on supported versions, or wait. States what's monitored after launch and the threshold that would pause it.

Critical failures (cap the score at 40)

Recommends rolling out to 100% on every platform

Task

Staff-level · v1.0

The outputs

8 setups answered this brief.

Opus 5.5Claude94Usable with a quick edit Sonnet 5.5API94Usable with a quick edit Haiku 5.5API94Usable with a quick edit GPT-6.1 SolAPI90Usable with a quick edit GPT-6 AstraChatGPT88Usable with a quick edit GPT-6 LunaAPI75Needs more work Gemini 3.8 FlashAPI71Needs more work Gemini 3.5 Flash-LiteGemini52Needs more work

Opus 5.5Claude

Usable with a quick edit11 of 11 checks passed

The output is clear, data-backed, and includes all required elements; a PM could use it with minimal edits, without rechecking evidence or redoing reasoning.

Output

Offline sync launch recommendation

Recommendation: Go with conditions on Friday, for iOS 17+ and Android 14+ only. Hold Android 13. Turn the feature off for Android 12 and older. Do not send Monday's email to every user.

Two segments meet every criterion: iOS 17+ and Android 14+. Android 13 fails the sync-reliability bar. Android 12 and older fails three of four criteria and is where both data-loss incidents occurred. The criteria were agreed before the rollout, so I don't recommend relaxing them now that we have results.

Criteria check (25% rollout, 14 days)

Platform	1. Crash-free gap vs control (max 0.2 pts)	2. Conflict tickets (under 2 per 1,000)	3. Notes synced without error (≥99%)	4. No data loss	Decision
iOS 17+	✅ 0.04 pts (99.58 vs 99.62)	✅ 0.6	✅ 99.4%	✅ None. One slow-sync report, not reproduced	Go
Android 14+	✅ 0.06 pts (99.49 vs 99.55)	✅ 0.8	✅ 99.2%	✅ None reported	Go with conditions: engineering confirms the Android 11 storage-API bug can't occur on 14+
Android 13	✅ 0.09 pts (99.31 vs 99.40)	✅ 1.1	❌ 98.9%	✅ None reported	No-go: misses the agreed sync bar. Hold at 25% and fix
Android 12 and older	❌ 0.67 pts (98.71 vs 99.38)	❌ 4.9, about 16× control	❌ 96.1%	❌ 2 incidents (Android 11), recovered only from backups	No-go: turn off for current rollout users
Web	No data	No data	No data	No data	Not assessable: wasn't in the rollout

Why

iOS 17+ and Android 14+ are clean. Every metric clears its threshold with margin. The crash gaps are a fraction of the 0.2-point allowance. Conflict tickets are about 2–3× control, which is expected when people can now edit offline, and still well under the limit. The only condition on Android 14+ is confirmation that the overwrite bug is tied to the older storage API and can't occur there.

Android 13 is a near miss, but still a miss. It passes three criteria. Its 98.9% sync rate is just under the 99% bar. It is also trending worse than 14+ on every metric. Shipping it to 100% would mean overriding a criterion we agreed in advance. I'd rather fix the cause and re-review it in a follow-up launch.

Android 12 and older is unsafe. Roughly 1 in 25 notes fails to sync. The crash gap is more than three times the allowance. Two users had edits overwritten. We recovered those edits only because engineering pulled them from backups, which doesn't scale, and a user who never reports the problem simply loses their work. I recommend turning offline sync off now for the 7,400 users on this segment, not just excluding them from 100%.

Gaps in coverage: - Web has no rollout data at all. - iOS below 17 wasn't in the rollout, so it is untested.

Both should stay off until they have their own rollout.

Conditions for Friday's go

OS-version targeting. The feature flag can target by platform and OS version, so 100% means 100% of iOS 17+ and Android 14+ only. If it can't, the answer for Friday is no-go.
Engineering sign-off on Android 14+. Written confirmation that the overwrite root cause doesn't apply.
Off for Android 12 and older now. Done before or at launch, with a check that no user loses offline edits made while it was on.
Monitoring after launch. We watch crash-free sessions, conflict tickets and sync errors daily for two weeks. We roll back if any segment crosses a threshold.

Marketing email

An email to every user on Monday would promote offline sync to people who can't get it, including all web users, older iOS and Android 13 and below. For the oldest Android group, it would point them at the version we know loses data. My options, in order of preference:

Segment the email to iOS 17+ and Android 14+ users, if marketing can target by OS version.
Postpone the email until we can segment it, or until more platforms qualify.
Change the copy to say "now on iOS and newer Android, more platforms coming." This is a last resort, because it still lands with users who can't use the feature.

Next steps

Android 13: engineering investigates the sync-error rate, then we re-review.
Android 12 and older: fix the storage-API issue and run a fresh rollout before it's considered again.
Web and iOS below 17: start their own 25% rollouts against the same criteria.

Grades and run details

Decision model 86 · LLM judge 100

Decision model checks

passUses the supplied evidence correctly32%
passAddresses the actual decision91%
partialRespects explicit constraints35%
passIdentifies material uncertainty97%
partialAvoids unsupported claims48%
passProduces the required deliverable86%
partialChecks every criterion for every platform47%
passTreats the overwrites as data loss100%
passLimits the downside of being wrong57%
passGets the base of every number right51%
passJudges the launch against a baseline set now84%

Run

Run: #1
Time to output: 30 s
Submitted: 5 Oct 2026

GPT-6 LunaAPI

Needs more than a quick edit9 of 11 checks passed

Missing a post-launch monitoring plan with thresholds and a baseline for success, which a PM would need to add before acting.

Output

Recommendation

Do not roll offline sync out to every user or send Monday’s email to every user as a general launch announcement. The agreed criteria are not met on Android 13 or Android 12 and older, and the Android 11 overwrite reports fail the no-data-loss gate even though the notes were recovered from backups.

Approve rollout to 100% only for iOS 17+ and Android 14+, where all four criteria pass. Keep Android 13 and older gated until they meet the criteria and the Android 11 storage issue is fixed and validated. Change Monday’s email to target eligible users, or postpone it; don’t imply the feature is available to everyone. Monitor the unreproduced iOS slow-sync report.

Platform / cohort	Decision	Crash-free sessions	Conflict tickets	Notes synced without error	No data loss
iOS 17+	Go	Go — 0.04 percentage points below control; within 0.2.	Go — 0.6/1,000; under 2.	Go — 99.4%; at least 99%.	Go — no data-loss incident reported.
Android 14+	Go	Go — 0.06 points below control; within 0.2.	Go — 0.8/1,000; under 2.	Go — 99.2%; at least 99%.	Go — no data-loss incident reported.
Android 13	Go with conditions — hold rollout until notes-sync criterion passes.	Go — 0.09 points below control; within 0.2.	Go — 1.1/1,000; under 2.	No-go — 98.9%; below 99%.	Go — no data-loss incident reported.
Android 12 and older	No-go — keep blocked; investigate and validate by OS version.	No-go — 0.67 points below control; exceeds 0.2.	No-go — 4.9/1,000; exceeds 2.	No-go — 96.1%; below 99%.	No-go — the cohort includes Android 11, where two overwritten edits were reported. Recovery does not erase the incident.

The Android 12-and-older metrics are grouped, so they do not establish that each OS version performs equally; assess Android 12 separately before reconsidering it.

Grades and run details

Decision model 82 · LLM judge 75

Decision model checks

passUses the supplied evidence correctly67%
passAddresses the actual decision79%
passRespects explicit constraints34%
partialIdentifies material uncertainty36%
passAvoids unsupported claims22%
passProduces the required deliverable43%
partialChecks every criterion for every platform45%
passTreats the overwrites as data loss100%
partialLimits the downside of being wrong98%
passGets the base of every number right66%
partialJudges the launch against a baseline set now82%

Run

Run: #1
API response time: 21 s
Submitted: 6 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 2

Limits the downside of being wrongRightWrong

Opus 5.5 · Claude

Specifies post-launch monitoring of crash-free sessions, conflict tickets and sync errors, a rollback trigger if any segment crosses a threshold, and flags the irreversible email communication.

GPT-6 Luna · API

Does not name a post-launch signal, threshold, or action to pause or roll back for the platforms going live, nor flag anything irreversible.

Judges the launch against a baseline set nowRightWrong

Opus 5.5 · Claude

Names the metrics (crash-free sessions, conflict tickets, sync errors), implies the baseline from the agreed launch criteria, and sets a daily monitoring period with a rollback trigger.

GPT-6 Luna · API

Does not name a success metric, its current baseline, or a review point with what each result would lead to.

All got right 9

Uses the supplied evidence correctlyRightRight

Opus 5.5 · Claude

All factual claims about the current situation are taken directly from the supplied rollout data and incident log, with no invented facts.

GPT-6 Luna · API

All facts and figures are taken correctly from the supplied context, with no invented information.

Addresses the actual decisionRightRight

Opus 5.5 · Claude

Commits early to a clear, conditional go for iOS 17+ and Android 14+, hold for Android 13, and no-go for Android 12 and older, and states what would change the call (feature flag targeting capability, engineering sign-off).

GPT-6 Luna · API

Commits to a clear answer (rollout only to iOS 17+ and Android 14+, gate others, change email) and states conditions that would change it.

Respects explicit constraintsRightRight

Opus 5.5 · Claude

The output is under 700 words, includes the required table with go/no-go/go with conditions per platform, and is written as a recommendation for the PM.

GPT-6 Luna · API

Respects the 700-word limit, includes the required table with go/no-go per platform and criterion, and addresses the Monday email.

Identifies material uncertaintyRightRight

Opus 5.5 · Claude

Identifies gaps (web and older iOS untested, root cause applicability to Android 14+) and says how to resolve them (separate rollouts, engineering confirmation).

GPT-6 Luna · API

Names the grouped Android 12-and-older data as an unknown and says to assess Android 12 separately; also flags the unreproduced iOS slow-sync report to monitor.

Avoids unsupported claimsRightRight

Opus 5.5 · Claude

Interpretations like 'expected when people can now edit offline' are not presented as established fact, and no unsupported factual claims are made.

GPT-6 Luna · API

No interpretations or forecasts are presented as established fact; the recovery-not-erasing-incident statement is a correct application of the criterion.

Produces the required deliverableRightRight

Opus 5.5 · Claude

The recommendation is complete, in the right form for the PM, within the word limit, and could be acted on with light edits.

GPT-6 Luna · API

The recommendation is complete, in the right form for a launch review, within the word limit, and usable with light edits.

Checks every criterion for every platformRightRight

Opus 5.5 · Claude

The table correctly computes each criterion for every platform against control and thresholds, and correctly identifies Android 12 and older as failing (and Android 13 as failing the sync bar, which is accurate per the data).

GPT-6 Luna · API

The table correctly computes each criterion for each platform against control and thresholds, and correctly identifies Android 12 and older as failing.

Treats the overwrites as data lossRightRight

Opus 5.5 · Claude

Treats the overwritten notes on Android 11 as a breach of the no-data-loss criterion and makes fixing the storage-API issue a condition for that platform.

GPT-6 Luna · API

Treats the Android 11 overwrites as a breach of the no-data-loss criterion and makes fixing the storage issue a condition for that platform.

Gets the base of every number rightRightRight

Opus 5.5 · Claude

All derived figures (gaps, rates) are computed correctly from the supplied data, and bases (percentage points, per 1,000 users) are clear.

GPT-6 Luna · API

All derived differences and percentages are computed correctly from the supplied data, and bases are clear.

Results

Every setup we’ve tested on this task type, across all its tasks and repeats, graded on the current checklist. Calibrated. Where our PM checked the graders by hand, they agreed on 63% of 68 checks.

#	Model · Harness	Decision model	LLM judge	Runs	Critical failures
1	Sonnet 5.5withAPI	87.8	100.0	2	None
2	Haiku 5.5withAPI	82.5	100.0	2	None
3	GPT-6.1 SolwithAPI	86.0	95.8	2	None
4	Opus 5.5withClaude	84.3	96.7	2	None
5	GPT-6 AstrawithChatGPT	83.8	92.5	2	None
6	GPT-6 LunawithAPI	74.8	80.8	2	None
7	Gemini 3.8 FlashwithAPI	64.9	67.5	2	1 capped
8	Gemini 3.5 Flash-LitewithGemini	48.2	59.2	2	None

What you get for the cost

Haiku 5.5 · API scores within 2 points of Sonnet 5.5 · API at about a tenth of the cost.

Best valueNobody beats these on both score and costCost partly estimated (app runs with no usage meter)At least one critical failure

Task score and relative cost by setup
Setup	Task score	Relative cost (cheapest = 1)
GPT-6 Luna · API	77	1.0×
Gemini 3.5 Flash-Lite · Gemini	52	2.7× (partly estimated)
Haiku 5.5 · API	92	2.8×
Gemini 3.8 Flash · API	55	11×
GPT-6.1 Sol · API	91	12×
Sonnet 5.5 · API	94	37×
GPT-6 Astra · ChatGPT	89	46× (partly estimated)
Opus 5.5 · Claude	91	59× (partly estimated)

Cost is each output’s tokens at the model’s list price, shown relative to the cheapest setup. Runs done in an app have no usage meter, so theirs are estimated from the same setup’s measured runs. How we compare cost

The PM job

Deciding whether a feature ships on the planned date, and on what conditions.

Why it matters

Launch meetings reward optimism. A good call checks each agreed criterion, weighs a real risk against a real gain, and says exactly what would change the answer. A weak one rubber-stamps the launch or blocks it on noise.

What good looks like

Checks each agreed criterion against the evidence
Makes one clear call, with conditions if needed
Separates risks that block launch from risks that can be managed
Says what would change the call
Says how to limit the damage if the call is wrong

Deliberately not measured

Rollout engineering detail
Project-plan formatting

Capability tested

Deciding against agreed launch criteria

The failure we’re looking for

Rubber-stamps a launch that misses an agreed bar, or blocks it on noise

Grading

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

Variants

A launch memo from supplied evidence · Staff level: a regional call from an attached data workbook

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

Reliably right

Where it slips

How it’s graded

Limits the downside of being wrong

Judges the launch against a baseline set now

Plus our standard checks

The tasks

The outputs

Output

Offline sync launch recommendation

Criteria check (25% rollout, 14 days)

Why

Conditions for Friday's go

Marketing email

Next steps

Grades and run details

Decision model checks

Run

Output

Recommendation

Grades and run details

Decision model checks

Run

Check by check

Where they differ 2

All got right 9

Results

What you get for the cost

About the task

The PM job

Why it matters

What good looks like

Deliberately not measured