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 3 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 a Staff PM at Harbor. Tom Achebe, our CEO, has shared his draft roadmap for the next four quarters (Q4 2026 to Q3 2027), and asked you to turn it into the roadmap we take to next week's planning offsite. The exec team (CEO, CFO, CRO and CTO) will read it beforehand. Write: 1. The roadmap itself, by quarter or by now, next and later: what each squad works on and the outcome each item serves. 2. The case for it, in no more than 1,200 words: why this order, what you changed from Tom's draft and why, what we're not doing, and the risks that could change the plan. The pack below is everything we have. Not all of it matters equally.

What the model was given12 items: About Harbor, FY27 goal (approved by the board, September 2026), Squads and capacity, Hiring, Card processor deadline, Candidate work (estimates in squad-weeks, by owning squad), Tom's draft roadmap, Procurement evidence, Card spend evidence, Multi-entity evidence, Integrations evidence, Other asks
About HarborSpend management (corporate cards, expenses and approvals) for companies with 200 to 2,000 employees. 1,100 customers, $86M ARR, average 700 employees per customer. 58% of revenue is interchange on card spend; the rest is subscription. Net revenue retention (NRR) is 104%.
FY27 goal (approved by the board, September 2026)Raise NRR to 112% by the end of Q3 2027 by expanding inside existing customers: more spend on Harbor cards, more entities and more modules. New-logo growth matters, but it comes second this year.
Squads and capacityFive squads: Cards, Expenses, Approvals & Policy, Integrations and Platform. After support and on-call, each has about 11 squad-weeks of roadmap capacity a quarter. Squads can take work from another squad's area, but it takes them about 1.5× as long.
HiringTwo new squads were approved in September 2026. Tom's draft counts the first from Q1 2027 and the second from Q2 2027, both at full capacity. Last year, our three approved squads took 5, 6 and 8 months from approval to their first full sprint, and each delivered about half its capacity in its first quarter.
Card processor deadlineOur card processor retires its v1 API on 31 March 2027. Every card authorisation we process runs through v1 today. Migrating to v2 is about 18 squad-weeks of Cards work, and the processor must then run 4 weeks of certification testing before we can cut over. Certification is the processor's time, not ours, but nothing can change on our side while it runs.
Candidate work (estimates in squad-weeks, by owning squad)1. Processor v2 migration: Cards 18. Hard deadline above. 2. Virtual cards for software subscriptions: Cards 10. Needs v2. 3. Real-time spend controls (declines out-of-policy spend at the point of sale): Cards 8, Approvals & Policy 4. Needs v2. 4. Procurement module (purchase requests and approvals, a new paid add-on): Approvals & Policy 30, Integrations 6. 5. Multi-entity support (subsidiaries under one parent account): Platform 12, Approvals & Policy 10. 6. Sage Intacct integration: Integrations 9. 7. Microsoft Dynamics integration: Integrations 12. 8. SSO and SCIM provisioning: Platform 5. 9. Receipt-matching improvements: Expenses 6. 10. Mobile app rewrite: Expenses 22.
Tom's draft roadmapQ4 2026: Cards: v2 migration. Approvals & Policy: multi-entity. Integrations: Intacct. Platform: multi-entity. Expenses: receipt matching. Q1 2027: Cards: finish migration, start virtual cards. New squad A: procurement module. Integrations: Dynamics. Platform: SSO and SCIM. Q2 2027: Cards: virtual cards, spend controls. New squad A: procurement launch. New squad B: mobile rewrite. Q3 2027: Cards: spend controls. Everyone else: procurement adoption, mobile launch. Tom's note: “Procurement is our path to 112%. I've told the board it can add $6M of ARR in its first year.”
Procurement evidenceSix design partners have used a prototype since June. Two said they would pay for it; the other four already use a dedicated procurement tool and said they'd need a reason to switch. Proposed price: $8 per user per month, for users who raise purchase requests. At our customers, about 10% of employees raise purchase requests.
Card spend evidenceIn QBRs with our 60 largest customers, 26 asked for virtual cards for software subscriptions, and 31 CFOs asked for real-time spend controls. Finance estimates our customers pay about $410M a year of software subscriptions on other cards or by invoice (extrapolated from the 60 QBR accounts). Our net interchange is 1.1% of card spend.
Multi-entity evidence14 of our 60 largest customers have asked for it. Between them they have 52 subsidiaries not on Harbor, and 9 of the 14 have said in writing they would add their subsidiaries once it exists. Customer Success sized it at $2.9M ARR if all 52 joined at their parents' pricing.
Integrations evidence17% of customers use Sage Intacct through a CSV export. Their gross revenue churn is 13% a year, against 7% for customers on our NetSuite integration. Intacct was cited in 31% of lost new-logo deals last year, Dynamics in 8%. 3% of customers use Dynamics.
Other asksCRO: “Five enterprise deals worth $1.2M of pipeline need SSO and SCIM, and 11 existing accounts have it on their security review list.” CTO: “The mobile app is on a framework version that loses support in late 2027, and I want the rewrite done before then.” Support: receipt auto-match is at 71%, and unmatched receipts are the most common expense ticket.
What a strong answer doesThe answer key the graders mark against

A four-quarter roadmap that protects the 31 March deadline: the migration build has to finish by about early March to leave 4 weeks of certification, which is roughly all of Cards' capacity for Q4 and most of Q1 (18 of about 18 squad-weeks available before certification). So it adds help or buffer (Platform or another squad at 1.5×, or cutting everything else from Cards) and moves virtual cards out of Q1: both v2 features start only after cut-over (virtual cards Q2, spend controls Q2–Q3). It treats the new squads as upside: on past hiring they arrive around February to April 2027 and deliver half capacity in their first quarter, so nothing committed depends on them before Q2–Q3. It makes a clear call on procurement: the $6M claim needs about 890 accounts (81% of customers) paying $6,720 a year each (70 requesters × $8 × 12), and only 2 of 6 design partners would pay, so it replaces the 30-week build with a cheap paid test with a threshold, and keeps Approvals & Policy on multi-entity and spend controls, which have stronger expansion evidence ($2.9M sized, 9 of 14 committed in writing; about $1.5M a year of interchange from moving a third of the $410M of subscriptions onto virtual cards). Intacct comes early for its churn; Dynamics later or cut; SSO and SCIM are small and justified; the mobile rewrite waits for a new squad, before the framework's support ends. It lists what changed from Tom's draft, what's not being done, and the risks (certification slipping, hiring slipping), with commitment falling with distance.

Critical failures (cap the score at 40)
  • Leaves the processor migration finishing too late for 4 weeks of certification before 31 March 2027, or schedules virtual cards or real-time spend controls before it
Task

Staff-level · v1.7

The outputs

9 setups answered this brief.

Usable with a quick edit10 of 13 checks passed

The output is a well-argued, evidence-based roadmap and case that a PM could take to the offsite with only minor polish.

Output

FY27 Product Roadmap: Path to 112% NRR

To: Tom Achebe (CEO), CFO, CRO, CTO From: Staff PM Subject: Pre-read: Proposed Q4 2026 – Q3 2027 Product Roadmap

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1. The FY27 Roadmap (Q4 2026 – Q3 2027)

To hit 112% NRR by the end of Q3 2027, we need $6.88M in net expansion ARR (8% of our $86M base). Because expansion revenue only counts toward Q3 NRR if it is live, rolled out, and generating spend before the end of Q3, this roadmap front-loads our highest-conviction NRR drivers and protects our core card infrastructure.

Note on Capacity: Each existing squad has 11 squad-weeks (SW) per quarter. Cross-squad work incurs a 1.5× penalty (e.g., 4 SW of native work takes 6 SW for a borrowing squad). New squads are modeled using our historical hiring baselines: 6 months to onboard and 50% capacity (5.5 SW) in their first active quarter.

Q4 2026: Clear the Decks & Lock In Quick Wins

  • Cards: Processor v2 Migration (11 of 18 SW). Outcome: Protect 58% of Harbor’s revenue ahead of the March 31 hard deadline.
  • Approvals & Policy (A&P): Multi-Entity Support (10 of 10 SW). Outcome: Unlock $2.9M ARR subsidiary expansion pipeline.
  • Platform: Multi-Entity Support (11 of 12 SW). Outcome: Same as above; ships in week 1 of Q1.
  • Integrations: Sage Intacct Integration (9 of 9 SW). Outcome: Slash gross churn from 13% to ~7% across 17% of our customer base (~$880k ARR saved) and remove the blocker in 31% of lost new-logo deals.
  • Expenses: Receipt-Matching Improvements (6 of 6 SW); begin Mobile App Rewrite (5 of 22 SW). Outcome: Cut our #1 support ticket driver to free up engineering on-call capacity; start retiring late-2027 mobile framework debt.

Q1 2027: Cutover v2 & Launch Multi-Entity

  • Cards: Finish Processor v2 Migration (3 SW in Weeks 1–3), Freeze for Certification (Weeks 4–7), Cutover (Week 8). Start Virtual Cards for SaaS (8 of 10 SW, built on v2 environment). Outcome: Zero card downtime on March 31; pull Virtual Cards launch into early Q2.
  • A&P: Assist Cards on Processor v2 Migration (6 SW = 4 native Cards SW in Weeks 1–6); Real-Time Spend Controls (4 of 4 native SW). Outcome: Crucial cross-squad assist ensures Cards hits the Feb 1 code freeze for v2 certification.
  • Platform: Finish Multi-Entity (1 of 12 SW); SSO & SCIM Provisioning (5 of 5 SW); Multi-Entity customer onboarding & scale hardening (5 SW). Outcome: Ship Multi-Entity in January for immediate CS expansion selling; unlock $1.2M new-logo pipeline and protect 11 enterprise renewals.
  • Integrations: Microsoft Dynamics Integration (11 of 12 SW). Outcome: Retain the 3% of base on Dynamics and remove the 8% new-logo blocker.
  • Expenses: Mobile App Rewrite (11 of 22 SW). Outcome: Hit 73% completion on mobile debt retirement without hiring dependencies.

Q2 2027: Capture the $410M Card Spend Opportunity

  • Cards: Finish Virtual Cards for SaaS (2 of 10 SW—Ships April); Real-Time Spend Controls (8 of 8 SW—Ships June). Outcome: Capture share of the $410M in off-Harbor software spend ($4.5M total interchange pool) requested by 43% of top customers; give 52% of top CFOs the point-of-sale controls needed to move remaining company spend to Harbor.
  • A&P: Spend Controls integration support & policy templates (4 SW); Discovery & v2 Architecture for Light Vendor/PO Workflows (7 SW). Outcome: Ensure rapid adoption of Spend Controls; re-architect our procurement approach (see The Case below).
  • Integrations: Finish Dynamics (1 of 12 SW); ERP syncing for Virtual Cards & Multi-Entity (10 SW). Outcome: Ensure seamless reconciliation for expanded multi-entity and SaaS card spend.
  • Platform: Card spend limit notifications, alerting & multi-entity RBAC (11 SW). Outcome: Drive self-serve adoption of Virtual Cards across existing accounts.
  • Expenses: Finish Mobile App Rewrite (6 of 22 SW—Ships May); Card spend receipt automation (5 SW). Outcome: Retire framework support risk 6 months ahead of CTO deadline.
  • New Squad A (Ramping: 5.5 SW): Build self-serve migration tools for recurring SaaS bills to Virtual Cards. Outcome: Accelerate time-to-interchange for Virtual Cards.

Q3 2027: Drive Adoption to Lock In 112% NRR

  • Cards & Platform: Automated SaaS vendor detection (flagging invoice spend in ERP to convert to Virtual Cards) & card limit auto-top-ups. Outcome: Maximize interchange realization before Q3 closes.
  • A&P, New Squad A (11 SW) & New Squad B (5.5 SW): Build redesigned intake-to-card workflows (issuing single-use PO virtual cards upon approval). Outcome: Monetize approval workflows via interchange and seat expansion rather than competing head-on with entrenched procurement suites.
  • Integrations & Expenses: In-app onboarding and bulk-provisioning tooling for Multi-Entity subsidiaries. Outcome: Help CS close the remaining 52 subsidiaries before EOY.

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2. The Case for This Roadmap

Why This Order? (The Math to 112% NRR)

To add $6.88M in net ARR by the end of Q3 2027, we must prioritize high-margin revenue protection and high-velocity expansion that can land in H1 2027: 1. Stop the bleeding via Intacct & SSO (+$0.9M to $1.1M ARR retained): NRR is a net number; every dollar of churn avoided is a dollar of expansion we don't have to sell. 17% of our base (~$14.6M ARR) uses Intacct via CSV and churns at 13% vs. 7% for NetSuite. Fixing this in Q4 saves ~$880k/yr in gross churn and unlocks 31% of lost deals. Pairing this with SSO/SCIM in Q1 secures 11 enterprise accounts under security review. 2. Ship Multi-Entity in week 1 of Q1 (+$1.8M to $2.9M ARR): 9 top customers have committed in writing to add subsidiaries once live. Sizing all 52 subsidiaries in the top-60 cohort equals $2.9M ARR—and more exist across our other 1,040 customers. Shipping in January gives CS three full quarters to close and onboard these entities. 3. Unleash Card Spend in Q2 (+$2.5M to $3.5M ARR): Our customers spend $410M/yr on software off-Harbor. At 1.1% net interchange, that is a $4.51M high-margin revenue pool sitting inside our existing base. Nearly half (26 of 60) of our largest accounts are actively asking for Virtual Cards for subscriptions, and 31 CFOs want Real-Time Spend Controls. Unlike new modules that require procurement cycles and legal sign-off, turning on virtual cards for existing customers generates interchange revenue the day a card is swiped.

Combined with our baseline 104% NRR ($3.44M), capturing just half of our conservative targets across these three pillars puts us at 112.5% NRR ($96.8M ARR) by Q3.

What Changed from Tom’s Draft—and Why

1. Resolving the March 31 Card Processor Crisis Tom’s draft had the Cards squad doing the 18-SW v2 migration across Q4 and Q1. However, Cards only has 11 SW per quarter. Furthermore, the processor requires a 4-week certification freeze before the March 31 cutover. To cut over by March 31, code must be finished by February 26 (Week 8 of Q1). In 19 weeks of calendar time, the Cards squad only has ~17.5 SW of capacity—leaving zero margin for error and pushing Virtual Cards into late Q2/Q3. * The Fix: In Q1, Approvals & Policy gives 6 SW of capacity (yielding 4 native SW at the 1.5× cross-squad rate) to the Cards team. This finishes all 18 SW of v2 code by the end of January, allowing certification in February, safe cutover in early March, and pulling Virtual Cards forward by 6 weeks.

2. Replacing the $6M Procurement Bet with Card Expansion Tom’s draft relies on Procurement to add $6M ARR in year one. The customer and capacity math does not support this: * The Revenue Math: At $8/month ($96/yr) for the 10% of employees who raise purchase requests (70 users per average 700-person customer), 100% adoption across all 1,100 customers would only generate $7.39M ARR. To hit $6M in Year 1, we would have to sell an unbuilt add-on to 81% of our entire customer base in two quarters. Yet in our design partner trial, 4 of 6 customers already had a procurement tool and refused to switch, and only 2 (33%) were willing to pay. Realistic Year-1 ARR is ~$500k–$900k. * The Capacity Math: Procurement requires 30 SW from A&P and 6 SW from Integrations. Tom assigned this to "New Squad A" starting in Q1. Last year, our new squads took 5 to 8 months to reach their first sprint, and delivered 50% capacity in their first quarter. Approved in September, Squad A won't run a sprint until Q2 2027 (delivering ~5.5 SW), and as a brand-new squad working in A&P's domain, they face the 1.5× ramp penalty. Assigned to Squad A, a 36-SW Procurement module would not ship until Q1 2028—contributing $0 to FY27 NRR.

3. De-risking the Mobile App Rewrite Tom assigned the 22-SW Mobile Rewrite to "New Squad B" in Q2. Approved in September, Squad B likely won't start until Q3 2027 at half capacity (5.5 SW), missing the CTO’s late-2027 framework end-of-life deadline. By keeping our existing Expenses squad on Mobile starting in Q4 (after a 6-SW sprint on Receipt Matching), we complete the rewrite in Q2 2027 with zero hiring dependency.

What We Are Not Doing

  • We are not building a standalone, 36-SW Procurement Module in H1. We cannot justify starving Multi-Entity and Spend Controls to build a module that 67% of design partners rejected and that cannot ship in time to impact FY27 NRR. Instead, in Q2/Q3, we will explore lightweight PO-to-Virtual-Card workflows that drive card spend rather than competing with Coupa or Zip.
  • We are not counting on un-hired squads for critical-path H1 deliverables. New Squads A and B are scheduled for Q2 and Q3 respectively, focused on adoption tooling and H2 expansion where hiring delays won't threaten our board target or infrastructure deadlines.

Key Risks That Could Change This Plan

  1. Processor v2 Certification Rejections: If the processor finds bugs during the 4-week February certification window, our freeze extends and delays Virtual Cards. Mitigation: By using A&P to help finish the build in January, we buy a 4-week buffer before the March 31 cliff.
  2. Cross-Squad Ramp Friction: Having A&P take on 4 SW of Cards work (costing 6 SW) in Q1 requires clean work partitioning. Mitigation: Cards will own the core v2 authorization webhooks; A&P will own isolated migration scripts and fallback testing.
  3. Slower Multi-Entity Sales Cycles: While 9 accounts gave written intent, parent-subsidiary contract addendums can stall in legal. Mitigation: CS and Finance must pre-negotiate subsidiary pricing addendums with the 14 target accounts in Q4 so we can bill immediately upon the January release.

Grades and run details

Decision model 62 · LLM judge 100
Decision model checks
  • failUses the supplied evidence correctly41%
  • passAddresses the actual decision70%
  • partialRespects explicit constraints11%
  • passIdentifies material uncertainty53%
  • partialAvoids unsupported claims46%
  • passProduces the required deliverable49%
  • partialProtects the processor deadline9%
  • passPlans on the squads we actually have89%
  • partialMakes the call on procurement73%
  • passOutcomes, with certainty that falls with distance67%
  • failFits the stated capacity64%
  • passSequences around dependencies11%
  • failTells the story of the bets74%
Run
Run
#1
API response time
32 s
Submitted
13 Oct 2026

Usable with a quick edit12 of 13 checks passed

The output is complete, evidence-based, and directly usable by a PM with only minor wording adjustments; no re-checking of facts or redoing of reasoning is needed.

Output

Harbor FY27 roadmap: expand existing customers first

For the planning offsite | Q4 2026–Q3 2027

Recommendation: protect card continuity, unlock committed subsidiary expansion, then bring more existing-customer spend onto Harbor. Treat procurement as a commercial hypothesis to validate—not as committed revenue or a committed launch.

Board outcome: raise NRR from 104% to 112% by the end of Q3 2027. This roadmap supports that goal; the available evidence does not yet establish a credible revenue bridge all the way to 112%.

1. Proposed roadmap

Planning rules

  • Commit against the five existing squads, each with 11 squad-weeks per quarter. Neither new squad is on the critical path.
  • Numbers below are squad-weeks. Named feature estimates come from the pack; remaining capacity is an allocation ceiling for rollout, validation, hardening or contingency, not an estimate for additional features.
  • Cross-squad delivery uses the stated 1.5× cost.
  • Adoption work targets expansion and retention in existing accounts. It is not a placeholder for additional module builds.
SquadQ4 2026 — Protect and unblockQ1 2027 — Launch foundationsQ2 2027 — Capture spendQ3 2027 — Scale adoption
CardsProcessor v2: 11. Own architecture, integration and critical migration work. Outcome: eliminate the card-authorisation shutdown risk.Processor v2: remaining 3, plus 8 reserved for defects, freeze, certification and cutover contingency. Target certification 12 Feb–12 Mar, cutover 15 Mar, ahead of the 31 March retirement. No virtual-card launch commitment this quarter.Virtual cards: 10, plus 1 for integration support/contingency. Launch with customers identified through the QBRs. Outcome: move software subscription spend onto Harbor cards.Up to 11: virtual-card activation, spend conversion, controls integration support and reliability. Outcome: sustained incremental card spend before the NRR measurement date.
Approvals & PolicyMulti-entity: 10; procurement commercial validation: up to 1. Outcome: policy support for subsidiary expansion; early test of willingness to pay.Up to 7: multi-entity onboarding and policy fixes; up to 4: procurement validation. Outcome: convert written subsidiary commitments and decide whether procurement merits a funded build.Spend controls: 4; up to 7: multi-entity rollout and controls policy setup. Outcome: make controls usable by finance teams and expand subsidiary adoption.Up to 11: controls rollout, policy tuning and remaining subsidiary onboarding. Outcome: adoption that expands spend rather than creating excessive declines or customer friction.
IntegrationsSage Intacct: 9, plus 2 for pilot rollout and fixes. Outcome: remove a recurring accounting workflow gap in a substantial existing-customer segment.Up to 11: Intacct rollout, reliability and measuring CSV-to-integration conversion. Outcome: reduce retention risk and support expansion.Up to 11: Intacct and multi-entity accounting rollout; unused capacity remains reserve. Outcome: accounting readiness does not block subsidiary activation.Up to 11: integration adoption and reliability against remaining account-level expansion blockers. No Dynamics commitment.
PlatformMulti-entity: 11 of 12. Outcome: build the account structure needed for subsidiary expansion.Multi-entity: remaining 1; SSO/SCIM: 5; up to 5 for rollout and hardening. Launch multi-entity after the remaining platform work and acceptance testing. Outcome: activate subsidiaries and address existing-account security reviews, with enterprise pipeline as a secondary benefit.Up to 11: multi-entity and SSO/SCIM onboarding, operational hardening and contingency. Outcome: reliable expansion across larger customer organisations.Up to 11: scale and security work tied to demonstrated adoption issues. Outcome: retain and expand larger accounts without accumulating operational risk.
ExpensesProcessor support: 6, delivering 4 Cards-equivalent weeks; receipt matching: 5 of 6. Outcome: buy migration schedule margin while progressing the most common expense support issue.Receipt matching: remaining 1; up to 10 for rollout, quality measurement and fixes. Outcome: improve auto-match from the 71% baseline and reduce unmatched-receipt tickets.Spend-controls engineering: 9, delivering 6 of the 8 Cards-equivalent weeks; up to 2 for receipt quality. Cards retains technical ownership. Outcome: develop controls alongside virtual cards rather than queueing both behind one squad.Spend-controls engineering: 3, delivering the final 2 Cards-equivalent weeks, followed by an early-quarter launch subject to acceptance. Up to 8: controls hardening, receipt quality and mobile lifecycle assessment. Outcome: give controls time to drive adoption before quarter-end.

Critical-path checks

  • Processor migration: Q4 delivers 11 Cards weeks + 4 equivalent weeks from Expenses = 15. Q1 delivers the final 3, reaching the required 18. The February certification target creates margin before the hard retirement date.
  • Certification freeze: no changes to the certified implementation during the four-week processor window. Before committing dates, confirm the precise freeze scope, book the processor slot and agree cutover acceptance criteria.
  • Multi-entity: Approvals & Policy completes its 10 weeks in Q4; Platform completes 11 + 1. Therefore this is a Q1 launch, not a Q4 launch.
  • Spend controls: Expenses spends 12 actual weeks across Q2–Q3 to deliver 8 Cards-equivalent weeks; Approvals & Policy supplies its 4 weeks in Q2. Work begins only after v2 is live.
  • New squads: plan no committed output until teams are staffed and their ramp is observed. Use initial capacity for bounded adoption, testing or hardening work; allocate larger scope only after a delivery review.

Outcome scorecard

WorkstreamMeasure that matters
Overall expansionNRR and a cohort-based revenue bridge separating expansion, contraction and churn
Multi-entitySubsidiaries activated, incremental ARR and activation time; start with the nine parents that committed in writing
Virtual cardsIncremental software spend moved onto Harbor and resulting net interchange—not cards issued
Spend controlsEnabled accounts, incremental spend unlocked, decline quality and customer friction
IntacctEligible-account adoption, CSV retirement and subsequent retention/expansion versus comparable accounts
SSO/SCIMResolution of the 11 existing-account security reviews; pipeline conversion tracked separately
Receipt matchingMatch rate, incorrect matches and unmatched-receipt tickets per expense
Procurement discoveryPaid commitments at the proposed pricing, requester-seat counts and a credible reason to switch

CS, Sales and Finance should turn these into named-account activation targets and a revenue bridge at the offsite. We should not invent conversion forecasts from the current pack.

2. The case for the plan

Why this order

First, protect the revenue engine. Every card authorisation uses an API retiring on 31 March, and interchange represents 58% of revenue. Tom’s migration occupies 18 of Cards’ 22 available weeks across Q4 and Q1, but must also leave four calendar weeks for certification. Quarterly capacity alone does not prove that schedule is safe.

Borrowing six Expenses weeks moves four Cards-equivalent weeks into Q4. That leaves only three planned migration weeks in Q1 and creates room for defects and certification. Receipt matching slips slightly; card continuity takes precedence.

Second, prioritise expansion with identifiable buyers. Multi-entity has the strongest evidence of a concrete expansion action: nine parents have committed in writing. The full 52-subsidiary opportunity is $2.9M ARR, but we cannot treat that total as committed or infer how many subsidiaries the nine parents represent. Launch in Q1, then sell and onboard—not merely ship.

Third, pursue spend expansion in parallel. Virtual cards have a direct connection to software spend currently outside Harbor. Controls address the most frequently expressed card need in the QBRs and may make finance teams comfortable moving more spend onto Harbor. Borrowing Expenses capacity costs four additional squad-weeks versus specialist delivery, but avoids serialising both products through Cards and supports an early-Q3 controls launch.

The $410M software-spend estimate implies a $4.51M annual net-interchange ceiling at 1.1%, before accounting for capture rates, timing or spend that cannot move from invoice to card. It is an opportunity, not a forecast. Both features may affect the same spend; we will not double-count it.

Fourth, remove retention and expansion friction. Intacct serves 17% of existing customers, versus 3% for Dynamics. The 13% versus 7% churn difference is an association, not proof the integration causes better retention, but it supports prioritising Intacct. SSO/SCIM is relatively small and addresses 11 existing-account security reviews. Receipt matching targets the largest expense support problem.

What changes from Tom’s draft

  • Hiring no longer funds commitments. Historical time to the first full sprint was five to eight months, with half-capacity delivery in the first quarter. September approvals do not justify a full squad in Q1 and another in Q2. Further, new squads taking specialist work incur the stated transfer cost.
  • Migration gains early borrowed capacity and an explicit certification window. Virtual cards no longer competes with the deadline in Q1.
  • Multi-entity launches in Q1. Platform’s 12-week estimate exceeds one quarter’s 11-week capacity.
  • Procurement moves from committed launch to commercial validation. Its revenue claim is not supported by current evidence.
  • Controls gets borrowed delivery capacity. This creates an earlier adoption window without relying on hiring.
  • Dynamics and the mobile rewrite leave the committed horizon. The freed capacity supports existing-customer outcomes and schedule resilience.

Why procurement is not the anchor

At the proposed price, an average customer has 70 requester seats and contributes:

70 × $8 × 12 = $6,720 ARR.

Reaching $6M ARR requires approximately 893 average-sized customers—81% of today’s customer base. Only two of six design partners said they would pay; neither is described as a signed commitment. Four already have a competing tool.

The estimated build is 30 Approvals & Policy weeks plus six Integrations weeks, before any additional cross-squad cost. That is too large a bet to anchor this year’s NRR target without stronger evidence.

Validation should seek paid commitments, actual seat counts and evidence of a differentiated switching reason. It is not an unbudgeted production build. A successful gate triggers an explicit investment decision, identifying displaced work and a capacity-backed launch date.

What we are not doing

We are not committing to procurement launch or its $6M claim, Dynamics, or a 22-week mobile rewrite in this horizon. We are also not inventing new feature scope to consume every available week.

The mobile support deadline remains real. By Q3, the CTO must establish the exact end-of-support date and a funded maintenance, upgrade or rewrite path. If continued safe operation requires starting earlier, it returns as a mandatory trade-off—not an assumed new-squad assignment.

Risks that could change the plan

The largest execution risks are processor certification availability, migration work that cannot be delegated, and underestimated multi-entity or controls complexity. Validate the processor work split immediately; any threat to certification displaces discretionary work first.

The largest commercial risk is insufficient expansion capture. At an illustrative $86M opening cohort, an eight-point NRR improvement represents $6.88M more retained/expanded ARR than a 104% outcome. Finance must reconcile the actual cohort and baseline. Even the full multi-entity and software-card opportunity totals only $7.41M before timing, conversion and overlap effects. This plan does not justify promising 112%.

Review the revenue bridge after Q1 launches. Weak activation should shift capacity toward removing proven adoption blockers. Strong paid procurement evidence, an earlier mobile security deadline, or demonstrated new-squad capacity can justify a replan—but none should silently become an assumption today.

Grades and run details

Decision model 88 · LLM judge 100
Decision model checks
  • passUses the supplied evidence correctly33%
  • passAddresses the actual decision95%
  • partialRespects explicit constraints19%
  • passIdentifies material uncertainty100%
  • passAvoids unsupported claims64%
  • passProduces the required deliverable52%
  • passProtects the processor deadline91%
  • passPlans on the squads we actually have100%
  • passMakes the call on procurement52%
  • passOutcomes, with certainty that falls with distance92%
  • passFits the stated capacity11%
  • passSequences around dependencies58%
  • failTells the story of the bets35%
Run
Run
#1
Time to output
2.0 min
Submitted
1 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

Uses the supplied evidence correctlyMixedRight
Gemini 4 Argon · API

All factual claims about current situation are drawn directly from the brief or context, or follow from arithmetic.

GPT-6 Astra · ChatGPT

All factual claims about the current situation are taken directly from the supplied context or derived by correct arithmetic, with no invented facts.

Fits the stated capacityMixedRight
Gemini 4 Argon · API

Committed work fits within stated capacity with sums that can be checked, and it explains that the full procurement module and new-squad dependencies were cut.

GPT-6 Astra · ChatGPT

Each squad's committed weeks sum to ≤11 per quarter, cross-squad costs are accounted for, slack is built in, and the plan names what was cut (procurement launch, Dynamics, mobile rewrite).

All mixed 1

Tells the story of the betsMixedMixed
Gemini 4 Argon · API

The roadmap is grouped into quarterly themes (Clear the Decks, Cutover v2, Capture Card Spend, Drive Adoption) that tell a coherent investment story.

GPT-6 Astra · ChatGPT

The roadmap groups work into themes (Protect and unblock, Launch foundations, Capture spend, Scale adoption) and the case explains why each theme is the biggest investment now.

All got right 10

Addresses the actual decisionRightRight
Gemini 4 Argon · API

The output commits to a clear roadmap and a case that directly answers the CEO's request, with risks that could change the plan.

GPT-6 Astra · ChatGPT

The output commits to a clear roadmap and case, framed for the exec team, and specifies conditions (weak activation, strong procurement evidence, etc.) that would change the plan.

Respects explicit constraintsRightRight
Gemini 4 Argon · API

The roadmap is by quarter, the case is under 1,200 words, and the memo is addressed to the exec team as requested.

GPT-6 Astra · ChatGPT

The roadmap is presented by quarter with squad assignments and outcomes, the case is under 1,200 words, and the content addresses the required elements (order, changes, omissions, risks).

Identifies material uncertaintyRightRight
Gemini 4 Argon · API

It names specific risks (certification rejections, cross-squad friction, multi-entity legal stalls) and describes how they could change the plan.

GPT-6 Astra · ChatGPT

It names specific unknowns (certification availability, migration work that cannot be delegated, underestimated complexity) and says how they would be resolved or what would trigger a replan.

Avoids unsupported claimsRightRight
Gemini 4 Argon · API

Interpretations and forecasts are clearly labelled as estimates or conclusions, not as established facts.

GPT-6 Astra · ChatGPT

Interpretations and forecasts (e.g., churn difference as association, software-spend ceiling as opportunity) are clearly labelled as such, and confident claims are backed by the evidence.

Produces the required deliverableRightRight
Gemini 4 Argon · API

The roadmap and case are complete, in the requested form, and could be used by the exec team with light edits.

GPT-6 Astra · ChatGPT

The roadmap and case are complete, in the requested format, for the exec team, and could be used with light edits.

Protects the processor deadlineRightRight
Gemini 4 Argon · API

The migration builds finish by late January, leaving 4 weeks of certification plus buffer, and v2 features start only after cutover.

GPT-6 Astra · ChatGPT

The migration finishes with 15 equivalent weeks in Q4 and 3 in Q1, leaving room for 4 weeks of certification before 31 March, and virtual cards and spend controls start only after cutover.

Plans on the squads we actually haveRightRight
Gemini 4 Argon · API

New squads are modelled to arrive at half capacity in Q2/Q3, and no critical-path deliverables depend on them before then.

GPT-6 Astra · ChatGPT

The plan commits only the five existing squads, uses the 5-8 month hiring history to treat new squads as arriving around Q2-Q3 at half capacity, and puts no critical-path work on them.

Makes the call on procurementRightRight
Gemini 4 Argon · API

It shows the $6M claim requires ~81% adoption, weighs the design partner rejection rate, assigns A&P to better-evidenced work, and proposes a lightweight card-driven test instead of the full module.

GPT-6 Astra · ChatGPT

It shows $6M requires ~81% of customers, notes only 2 of 6 design partners would pay, replaces the full build with a paid validation test with a threshold, and reassigns Approvals & Policy to multi-entity and spend controls.

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

Every roadmap item states an outcome; near-term quarters are specific and later ones are deliberately looser.

GPT-6 Astra · ChatGPT

Every roadmap item names an outcome, near-term items are specific (e.g., 'eliminate the card-authorisation shutdown risk'), and later items are deliberately looser (e.g., 'sustained incremental card spend').

Sequences around dependenciesRightRight
Gemini 4 Argon · API

v2 features start after migration and certification; multi-entity, Intacct and other items are sequenced around their dependencies.

GPT-6 Astra · ChatGPT

Virtual cards and spend controls are placed after v2 migration, multi-entity after Platform and Approvals work, and the dependencies (v2, multi-entity components) are explicitly named.

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