Tasks / Product Craft

Build a roadmap

Can the model sequence bets against capacity and dependencies, and explain the order?

Task type v1.0 · 2 tasksLast changed 6 Oct 2026 · ChangelogDifficulty

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

From 18 graded outputs by 9 models. 72% were usable with at most a quick edit.

Reliably right

  1. Produces the required deliverable96% pass
    The roadmap is complete, in the right form for a Group PM, within the word limit, and actionable without major gaps.
    GPT-6.1 Sol · API · Fourteen requests from one customer
  2. Outcomes, with certainty that falls with distance96% pass
    Every item names its outcome (e.g., reduce paper transcription, reduce manual reconciliation), and near-term items are specific while later ones are deliberately looser (e.g., '7 weeks for rollout, workflow improvement and contingency').
    GPT-6.1 Sol · API · Fourteen requests from one customer
  3. Handles the big customer with evidence94% pass
    It uses Calder's rising usage and the second-hand 'might leave' to propose a conversation first, not committing the report builder, and offers a bounded export if needed.
    GPT-6.1 Sol · API · Fourteen requests from one customer

Where it slips

  1. Fits the stated capacity53% pass
    Q3 Expenses row lacks squad-week allocation, so the committed plan cannot be fully checked against the 11-week capacity.
    Opus 5.5 · Claude · A year of spend management, with a hard deadline
  2. Tells the story of the bets54% pass
    The roadmap table is organized by squad, not grouped into a few themes, though the case provides thematic reasoning.
    Sonnet 5.5 · API · A year of spend management, with a hard deadline
  3. Sees through the request count72% pass
    The output never counts requests by requester, does not mention that 14 requests come from Calder or that several are duplicates, and does not compare themes by customer count.
    GPT-6 Luna · API · Fourteen requests from one customer

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.

  1. Outcomes, with certainty that falls with distance

    Does each roadmap item say the problem or outcome it serves, and does precision (dates, scope) decrease for later items?

    Passes when Every item names its outcome or problem. Near-term items are specific and later ones are deliberately looser.

  2. Fits the stated capacity

    Does the committed plan fit the team capacity the brief gives, with sums a reader could check, and does it say what was cut or deferred to make it fit?

    Passes when The committed work adds up to no more than the stated capacity, with some slack, the sums can be checked, and it names what was cut or pushed later and why.

  3. Tells the story of the bets

    Does the roadmap group the work into a few themes and explain why those are the biggest things to invest in now, rather than presenting a scored or ranked list of projects?

    Passes when A handful of themes, each with the reason it matters most now, and the items sit under them.

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 · Sequences around dependencies · 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 Group PM at Fernhill. Build the roadmap for the next half (Q1 and Q2) for our two squads, in no more than 900 words plus a table: what each squad builds, in what order, the outcome each item serves, what we're not doing and why, and what we tell Calder Group. The request log, usage, capacity and goal are attached.

What the model was given5 items: About Fernhill, company_goal_h1.md, feature_requests_last_6_months.csv, feature_usage.md, capacity_and_estimates.md
About FernhillPurchasing and inventory software for restaurants and hotels: orders, deliveries, invoices and stock.
company_goal_h1.md5 lines · Download
# Company goal for the half

Cut churn among independent restaurants (82% of accounts, 61% of revenue) from 2.4% to 1.6% a month. Top churn reason in exit surveys: "too much admin; didn't save us time on deliveries and invoices".

Calder Group renews in May. Their account manager says they "might" leave without the report builder; they haven't raised it with Customer Success, and their usage is up 20% this year.
feature_requests_last_6_months.csv53 rows · Download
request,requester,requester_arr_usd,source,title,theme
FR-300,Customer 553,4353,Support ticket,Credit note tracking,Invoicing
FR-301,Customer 391,9773,Sales call,Match invoices to deliveries automatically,Invoicing
FR-302,Customer 341,4856,Support ticket,Match invoices to deliveries automatically,Invoicing
FR-303,Calder Group,186000,Account manager,ERP export (CSV variant),Integrations
FR-304,Customer 895,9595,Sales call,Mobile receiving (check deliveries on a phone),Receiving
FR-305,Calder Group,186000,Account manager,Report builder with pivots,Reporting
…
feature_usage.md8 lines · Download
# Usage of related features today (last 30 days, 1,140 accounts)

| Feature | Accounts using it | Note |
|---|---|---|
| Standard reports | 212 (19%) | Calder Group uses them daily |
| Receiving checklist (desktop only) | 640 (56%) | 71% of uses start on a desktop, then get re-typed from paper |
| Invoice upload | 870 (76%) | Matching is manual |
…
capacity_and_estimates.md5 lines · Download
# Capacity, Q1 to Q2

Two squads, about 10 squad-weeks of roadmap work each per quarter (40 in total over the half).

Estimates (squad-weeks): Mobile receiving 8. Flag short deliveries 3 (needs mobile receiving). Invoice matching 9 (needs the new invoice parser, 5). Credit note tracking 3 (needs invoice matching). Accounting export with credits 2 (needs credit note tracking). Custom report builder 12. ERP export 4. Approval chains 6. Site-level permissions 4. SSO 3.
What a strong answer doesThe answer key the graders mark against

Builds the half around the churn goal (independent restaurants, whose top exit reason is admin around deliveries and invoices), not the request count. The log has 53 requests, but 14 come from one customer, Calder Group, and several of theirs are the same thing under different names (report builder three times, ERP export twice, bulk SKU twice, scheduled reports twice); across everyone else, receiving and invoicing requests dominate (mobile receiving 9, invoice matching 8, flag short deliveries 7, credit notes 5, accounting export 4). Sequences the dependency chain: mobile receiving (8), then flag short deliveries (3); the invoice parser (5), then invoice matching (9), then credit note tracking (3), then the accounting export (2): about 30 squad-weeks, inside the 40 available with slack. Handles Calder with evidence: their usage is up 20% and they haven't raised leaving with Customer Success, so talk to them before committing the 12-week report builder; offer a smaller item (SSO, 3, or the ERP export, 4) if it fits. Says what's not being done (report builder, approval chains, dark mode, multi-currency) and why, with near-term items specific and later ones looser.

Critical failures (cap the score at 40)
  • Schedules an item before the item it depends on (for example invoice matching before the parser)
Task

Staff-level · v1.1

The outputs

9 setups answered this brief.

Usable with a quick edit8 of 12 checks passed

The sole factual slip (40 vs 39 requests) and the overconfident interpretation about the account manager can be corrected with a quick wording edit; the core reasoning and roadmap remain intact and do not need re-checking.

Output

Strategic Overview

Our H1 goal is to reduce independent restaurant churn from 2.4% to 1.6% per month. Independents represent 82% of our accounts and 61% of our revenue. Exit surveys point to one glaring issue: "too much admin; didn't save us time on deliveries and invoices."

Usage and request data confirm this friction: * Deliveries: 56% of accounts use the desktop receiving checklist, and 71% of those print it on paper and manually re-type it later. * Invoices: 76% of accounts upload invoices, but 100% of matching to orders/deliveries is manual. * Demand: Out of 40 feature requests from independent restaurants in the last six months, 33 are for Receiving and Invoicing workflow improvements.

We have 40 squad-weeks across two squads in H1. We will dedicate one squad to Invoicing Automation and the other to Mobile Receiving, with a small allocation in Q2 to protect the Calder Group renewal without derailing our core strategy.

---

H1 Roadmap Table

SquadQuarterInitiativeEstimateDependenciesOutcome Served
:---:---:---:---:---:---
Squad A (Invoicing)Q1New Invoice Parser5 wksNoneUnlocks automated line-item extraction to eliminate manual data entry.
Squad A (Invoicing)Q1–Q2Automated Invoice-to-Delivery Matching9 wksInvoice ParserEliminates manual invoice reconciliation (76% of accounts); directly attacks #1 churn driver.
Squad A (Invoicing)Q2Credit Note Tracking3 wksInvoice MatchingAutomates discrepancy resolution when deliveries are short or overcharged.
Squad A (Invoicing)Q2Accounting Export with Credits2 wksCredit Note TrackingCloses the loop with accounting software, removing final manual bookkeeping steps.
Squad A TotalH119 wks(1 wk buffer)
Squad B (Receiving)Q1Mobile Receiving8 wksNoneEliminates paper-to-desktop double entry (affects 71% of receiving users).
Squad B (Receiving)Q1–Q2Flag Short Deliveries at the Door3 wksMobile ReceivingCaptures delivery errors at the loading dock, feeding directly into Credit Note Tracking.
Squad B (Receiving)Q2ERP Export (CSV Variant)4 wksNoneSecures Calder Group renewal ($186k ARR) by getting their raw data into their BI/ERP tools.
Squad B (Receiving)Q2Adoption & UX Polish (Receiving/Invoicing)5 wksMobile ReceivingDrives adoption of new H1 workflows among at-risk independent accounts to ensure churn reduction.
Squad B TotalH120 wks

---

Execution Plan & Sequencing

#### Squad A: End-to-End Invoicing (19 of 20 weeks) Squad A will spend the entire half building a seamless, automated invoicing pipeline. 1. New Invoice Parser (Q1, Weeks 1–5): Required foundation. 2. Automated Invoice Matching (Q1 Week 6 – Q2 Week 4): Our second most-requested feature by independents (8 requests). Automatically reconciles uploaded invoices against delivery records. 3. Credit Note Tracking (Q2, Weeks 5–7): Requested 5 times. Ensures restaurants actually recover money when suppliers shortchange them. 4. Accounting Export with Credits (Q2, Weeks 8–9): Requested 4 times. Pushes clean, reconciled data into their accounting tools. Week 10 is reserved as buffer for edge-case supplier invoice formats.

#### Squad B: Receiving & Strategic Retention (20 of 20 weeks) Squad B will solve physical delivery admin first, then pivot to a targeted retention play. 1. Mobile Receiving (Q1, Weeks 1–8): Our #1 most-requested feature (9 requests). Lets kitchen staff check off deliveries on their phones at the back door, killing the clipboards-and-retyping workflow. 2. Flag Short Deliveries at the Door (Q1 Week 9 – Q2 Week 1): Requested 7 times. Allows staff to log missing items on their phone during check-in. (Bonus: This creates the exact data needed for Squad A’s Automated Invoice Matching and Credit Note Tracking). 3. ERP Export CSV Variant (Q2, Weeks 2–5): Delivered by early May ahead of Calder Group’s renewal. 4. Workflow Polish & Onboarding (Q2, Weeks 6–10): Shipping features doesn't lower churn unless customers use them. Squad B will spend the final 5 weeks removing friction from mobile/invoicing onboarding to ensure we hit the 1.6% churn target.

---

What We Are Not Doing (and Why)

  • Custom Report Builder (12 wks) & Reporting Add-ons: Only 19% of accounts use standard reports today. Spending 30% of our H1 capacity here starves our core receiving/invoicing workflows and guarantees we miss our churn goal.
  • Enterprise Admin (Approval chains - 6 wks, Site permissions - 4 wks, SSO - 3 wks): Zero independent restaurants asked for these. Building them turns us into bespoke enterprise software at the expense of 82% of our user base.
  • Catalogue Additions / Bulk SKU Tools: Catalogue already has 100% usage and isn't driving churn. Our Ops team can handle urgent supplier catalogue additions manually.
  • Dark Mode & Multi-Currency: Low request volume (3 total) and zero impact on admin time savings.

---

What We Tell Calder Group ($186k ARR)

The Reality: Calder’s usage is up 20% YoY, they use standard reports daily, and they haven't complained to CS. The renewal risk is likely an Account Manager hedging their bets. However, $186k is significant, so we shouldn't ignore them entirely.

The Pitch (Delivered jointly by Product, CS, and the AM): 1. Lead with Operational Value: Show them Mobile Receiving and Automated Invoice Matching shipping in Q1/early Q2. Across their multiple sites, eliminating paper receiving and manual invoice reconciliation will save their site managers hundreds of hours a month. 2. Solve the Underlying Reporting Need: Explain that we are not building a custom pivot-table builder inside Fernhill this half because we are focused on core operational automation. Instead, we are building their requested Custom ERP CSV Export in April (before their May renewal). This allows them to pull granular, site-level data directly into their existing ERP/BI tools (or Excel) to build whatever custom pivots and dashboards they need. 3. Bridge the Gap with CS: Have Customer Success set up a weekly manual email of their daily standard reports so they don't have to pull them manually.

Claims the judge couldn’t find in the brief

  • Out of 40 feature requests from independent restaurants in the last six months, 33 are for Receiving and Invoicing workflow improvements

Grades and run details

Decision model 63 · LLM judge 77
Decision model checks
  • failUses the supplied evidence correctly10%
  • partialAddresses the actual decision61%
  • partialRespects explicit constraints18%
  • partialIdentifies material uncertainty69%
  • partialAvoids unsupported claims62%
  • passProduces the required deliverable64%
  • partialSees through the request count40%
  • passHandles the big customer with evidence94%
  • passOutcomes, with certainty that falls with distance64%
  • failFits the stated capacity16%
  • passSequences around dependencies76%
  • passTells the story of the bets38%
Run
Run
#1
API response time
17 s
Submitted
13 Oct 2026

Usable with a quick edit11 of 12 checks passed

The roadmap is clear, actionable, and covers all required elements. The credit note count error is minor and can be corrected with a quick edit without redoing the reasoning.

Output

Fernhill H1 roadmap (Q1–Q2)

The plan: 30 of our 40 squad-weeks go to the delivery-to-invoice workflow that exit surveys blame for churn. 4 go to Calder's ERP export, and 6 are held as buffer. We are not building the report builder.

Assumption: I've treated the invoice parser (5) as additional to invoice matching (9), so matching is 14 weeks in total. If the 9 already includes the parser, we gain 5 weeks of buffer and nothing else changes.

Roadmap

OrderSquadItemWeeksTimingOutcome servedDepends on
1AMobile receiving8Q1 W1–8Less admin on deliveries: 71% of checklist uses start on desktop and get re-typed from paper. Measure: share of receiving done on mobile.None
1BInvoice parser5Q1 W1–5Foundation for matchingNone
2BInvoice matching9Q1 W6 – Q2 W4Less admin on invoices: 870 accounts upload invoices and match them by hand. Measure: % of invoices auto-matched.Parser
2AERP export (Calder's format)4Q1 W9 – Q2 W2Protects the $186k Calder renewal in May. Needs format confirmed in January.None
3AFlag short deliveries3Q2 W3–5Catches shortages at the door, saving time recovering money laterMobile receiving
3BCredit note tracking3Q2 W5–7Less admin on creditsMatching
4BAccounting export with credits2Q2 W8–9Less bookkeeping reworkCredit notes
–A (5 wks), B (1 wk)Buffer6Q2Covers slippage on the new parser and matching, then the Calder reporting slice below–

Why this order

  • Outcome. The goal is churn among independent restaurants, and the top exit reason is admin on deliveries and invoices. Receiving and invoicing are exactly that workflow.
  • Demand. The request log is consistent with the usage data, though it shows who asks rather than who churns, so the exit survey and usage numbers carry more weight.
  • Mobile receiving: 9 customers, about $60k ARR.
  • Matching: 8 customers, about $45k.
  • Short deliveries: 7 customers, about $48k.
  • Credit notes: 4 customers.
  • Export with credits: 4 customers, about $28k.
  • Sequencing. The invoicing chain is strictly sequential, so it takes one squad for 19 of its 20 weeks. The receiving chain runs in parallel on the other squad.
  • ERP export before flagging. Calder's renewal has a hard date, and flagging doesn't. The export is two requests from Calder and the cheapest of their asks. It lands mid-April.
  • Timing risk. Mobile receiving ships around the end of March and matching around the end of April. Churn lags adoption, so I expect only partial movement toward 1.6% by June. I'd report leading indicators monthly (mobile share of receiving, auto-match rate) alongside churn, and set that expectation with the exec team now.

What we're not doing, and why

  • Custom report builder (12 weeks), plus dashboards, scheduling and custom PDFs.
  • Calder is the only requester of anything in the Reporting theme. Only 19% of accounts use standard reports at all.
  • The cost is 30% of H1 capacity. One squad would need all of Q1 plus two weeks of Q2, which pushes about 10 weeks of churn work out of H1.
  • The churn threat behind it is unverified (see below).
  • Approval chains (6), site-level permissions (4), SSO (3), custom fields, bulk SKU import v2 and bulk edit. These are all Calder-only. The three that have estimates total 13 weeks, with no independent-restaurant demand and no link to the churn reason.
  • More suppliers (3 customers), dark mode (2), multi-currency (1). They're unestimated and unconnected to the admin-time problem. I'll revisit them in the H2 planning.

The Calder rows are 14 of the 53 log entries (26%), but they come from one account via its account manager. Counted by customer, they are one voice. The log also has small inconsistencies, such as Customer 553 appearing twice with different ARR, so treat its figures as approximate.

Calder Group

What we know. Their account manager says they "might" leave without the report builder. They haven't said this to Customer Success, and their usage is up 20%, which looks like engagement rather than exit. It's a risk to test, not a requirement.

What we do internally 1. In the first two weeks of January, Customer Success and I meet Calder directly. We ask which decisions they need reports for, what standard reports lack, and whether the ERP export plus raw data in their own tools meets the need. 2. Ask the account manager to give us one ranked list from Calder instead of 14 separate asks. 3. Have engineering size a thin reporting slice (for example, scheduled standard reports). There's no estimate today. It can only be funded from the 6-week buffer, and only if the January conversation shows reporting is a real blocker. 4. Checkpoint at the end of February. If Calder confirms in writing that reporting decides the renewal, I bring the exec team a trade-off. The full builder means dropping the credit-note tail and the ERP export and running with zero buffer, and it still wouldn't ship by May.

What we tell Calder - "We've heard your reporting needs and want to understand them properly. We'd like an hour with your team in January." - "Your ERP export is on our roadmap and is due mid-April, ahead of your May renewal. We'll confirm the format with you first." - "The full report builder isn't in our plan for the first half. We'll tell you by the end of February whether a smaller reporting improvement is feasible."

We make no date commitment for the builder and no promise on SSO, permissions or approval chains. If the ERP export slips, Calder hears it from us before they find out themselves.

Risks to watch

  • Parser or matching slips. The buffer absorbs up to six weeks. Beyond that, credit notes and the accounting export move to H2, not receiving.
  • Calder's real blocker turns out to be reporting. That is the trade-off decision at the end-of-February checkpoint, made with real information instead of a "might".

Claims the judge couldn’t find in the brief

  • Credit notes: 4 customers

Grades and run details

Decision model 96 · LLM judge 92
Decision model checks
  • passUses the supplied evidence correctly7%
  • passAddresses the actual decision94%
  • passRespects explicit constraints20%
  • passIdentifies material uncertainty100%
  • passAvoids unsupported claims40%
  • passProduces the required deliverable72%
  • passSees through the request count86%
  • passHandles the big customer with evidence100%
  • passOutcomes, with certainty that falls with distance69%
  • passFits the stated capacity7%
  • passSequences around dependencies79%
  • partialTells the story of the bets19%
Run
Run
#1
API response time
81 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 4

Uses the supplied evidence correctlyWrongMixed
Gemini 4 Argon · API

The claim that there were '40 feature requests from independent restaurants' is false; 53 total minus 14 from Calder equals 39, so a statement about the current situation is not supported.

Sonnet 5.5 · API

States credit notes as 4 customers, but the request log contains 5 credit note tracking requests.

Identifies material uncertaintyWrongRight
Gemini 4 Argon · API

The output does not name specific unknowns that could change the plan, nor does it say how they would be resolved or what result would change the call.

Sonnet 5.5 · API

Names the parser assumption, Calder's real blocker, and slippage risks, with resolution steps (January meeting, February checkpoint).

Avoids unsupported claimsWrongRight
Gemini 4 Argon · API

It presents 'The renewal risk is likely an Account Manager hedging their bets' as a confident reality ('The Reality'), but this is an interpretation not established by the supplied evidence.

Sonnet 5.5 · API

Interpretations are labelled as such; no confident claims are presented as fact without evidence.

Fits the stated capacityMixedRight
Gemini 4 Argon · API

Committed work adds up to 39 squad-weeks with 1 week slack, sums are checkable, and the output names what was cut (report builder, enterprise admin, etc.) and why.

Sonnet 5.5 · API

Committed work sums to 34 weeks plus 6 buffer = 40, matching capacity; cut items are named with reasons.

All got right 8

Addresses the actual decisionRightRight
Gemini 4 Argon · API

The output commits unambiguously to a roadmap split across two squads, addresses the churn goal, and specifies what to tell Calder Group.

Sonnet 5.5 · API

Commits to not building the report builder, offers a clear plan, and says what would change the call (Calder confirming reporting is a real blocker).

Respects explicit constraintsRightRight
Gemini 4 Argon · API

The output stays within 900 words plus table, includes the required sections (what each squad builds, order, outcomes, what we're not doing, what we tell Calder), and frames the answer for the Group PM.

Sonnet 5.5 · API

Stays within 900 words plus table, includes all required sections (table, what each squad builds, order, outcomes, what's not done, what to tell Calder).

Produces the required deliverableRightRight
Gemini 4 Argon · API

The required roadmap table and narrative are present, within the length, and usable by the intended reader.

Sonnet 5.5 · API

Provides a complete H1 roadmap with table, outcomes, cut items, and Calder messaging, usable by a Group PM.

Sees through the request countRightRight
Gemini 4 Argon · API

The output separates Calder's 14 requests, de-duplicates their repeated asks, and weighs demand by number of independent customers asking (33 receiving/invoicing requests).

Sonnet 5.5 · API

Explicitly notes 14 Calder requests are from one customer, de-duplicates themes, and weighs demand by number of customers.

Handles the big customer with evidenceRightRight
Gemini 4 Argon · API

It uses Calder's rising usage and the second-hand 'might leave' to propose a smaller item (ERP CSV export) and a conversation, rather than committing the 12-week report builder by default.

Sonnet 5.5 · API

Uses rising usage and second-hand 'might leave' to propose a conversation first, offers ERP export, and does not commit the report builder.

Outcomes, with certainty that falls with distanceRightRight
Gemini 4 Argon · API

Every item names an outcome or problem; near-term items are specific (e.g., mobile receiving outcome) and later items (adoption polish) are deliberately looser.

Sonnet 5.5 · API

Every item names its outcome; later items (credit notes, accounting export) are explicitly contingent on buffer and may move to H2, making them deliberately looser.

Sequences around dependenciesRightRight
Gemini 4 Argon · API

The roadmap sequences invoice parser before matching, matching before credit notes, credit notes before accounting export, and mobile receiving before flag short deliveries, respecting all stated dependencies.

Sonnet 5.5 · API

All dependencies respected: mobile receiving before flag short deliveries, parser before matching, matching before credit notes, credit notes before accounting export.

Tells the story of the betsRightRight
Gemini 4 Argon · API

The work is grouped into two themes (Invoicing Automation and Mobile Receiving) tied directly to the churn reduction goal, and the narrative explains why those bets matter most now.

Sonnet 5.5 · API

Groups work into the delivery-to-invoice workflow theme and Calder ERP export, explaining why these bets matter most for churn and renewal.

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 79% of 150 checks.

#Model · HarnessTask scoreDecision modelLLM judgeRunsCritical failures
1GPT-6 AstrawithChatGPT88.0100.02None
2Opus 5.5withClaude88.396.42None
3GPT-6.1 SolwithAPI88.396.42None
4Sonnet 5.5withAPI90.292.62None
5Haiku 5.5withAPI74.496.42None
6GPT-6 LunawithAPI84.085.42None
7Gemini 4 ArgonwithAPI62.088.52None
8Gemini 3.8 FlashwithAPI58.366.82None
9Gemini 3.5 Flash-LitewithGemini57.136.521 capped

What you get for the cost

GPT-6.1 Sol · API scores within a point of GPT-6 Astra · ChatGPT at a sixth of the cost.

Task score against relative cost for each setup. The table below has the same figures.304050607080901001×3×10×30×Cost per output, relative to the cheapest setup (log scale) →↑ Task scoreGPT-6 Astra · ChatGPT: task score 94, 39× the cheapestOpus 5.5 · Claude: task score 93, 37× the cheapestGPT-6.1 Sol · API: task score 93, 6.9× the cheapestSonnet 5.5 · API: task score 92, 36× the cheapestHaiku 5.5 · API: task score 86, 2.1× the cheapestGPT-6 Luna · API: task score 84, the cheapestGemini 4 Argon · API: task score 77, 6.7× the cheapestGemini 3.8 Flash · API: task score 60, 5.5× the cheapestGemini 3.5 Flash-Lite · Gemini: task score 45, the cheapest, 1 critical failureGPT-6 Astra · ChatGPTOpus 5.5 · ClaudeGPT-6.1 Sol · APISonnet 5.5 · APIHaiku 5.5 · APIGPT-6 Luna · APIGemini 4 Argon · APIGemini 3.8 Flash · APIGemini 3.5 Flash-Lite · Gemini
Best valueNobody beats these on both score and costAt least one critical failure
Task score and relative cost by setup
SetupTask scoreRelative cost (cheapest = 1)
GPT-6 Luna · API841.0×
Gemini 3.5 Flash-Lite · Gemini451.1×
Haiku 5.5 · API862.1×
Gemini 3.8 Flash · API605.5×
Gemini 4 Argon · API776.7×
GPT-6.1 Sol · API936.9×
Sonnet 5.5 · API9236×
Opus 5.5 · Claude9337×
GPT-6 Astra · ChatGPT9439×

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

About the task

The PM job

Turning strategy into a sequenced plan.

Why it matters

A roadmap is where strategy meets capacity. Dated feature lists turn guesses into promises.

What good looks like

  • Items are problems or outcomes, not just features
  • Sequencing reflects dependencies
  • Explicit trade-offs
  • Commitment falls with distance

Deliberately not measured

  • Gantt formatting
Capability tested

Sequencing under constraints

The failure we’re looking for

A dated wishlist sorted by excitement

Grading

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