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Tasks / Strategy

Competitor analysis

Can the model find where a competitor can actually hurt you, from win/loss and churn data, rather than list features?

Task type v1.1 · 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. 63% were usable with at most a quick edit.

Reliably right

  1. Respects explicit constraints100% pass
    Delivers a competitive analysis memo to Dan within 900 words, addressing all requested topics without proposing a full feature-by-feature match.
    Opus 5.5 · Claude · The competitor isn't who you think
  2. Reads where Crestline is heading100% pass
    Uses Crestline's hiring (payroll, multi-entity, accountant partnerships) to infer direction, flags the partner-programme risk, and adjusts the response accordingly.
    GPT-6 Astra · ChatGPT · Free forever, funded
  3. Produces the required deliverable97% pass
    The memo is complete, in the right form for the CEO, within the word limit, and actionable with light edits.
    Opus 5.5 · Claude · The competitor isn't who you think

Where it slips

  1. Uses the supplied evidence correctly56% pass
    Two factual claims are wrong: the number of unconnected multi-user accounts going to Crestline is 40, not 42, and the number of connected 6-20 cancellations is 5, not 4.
    Sonnet 5.5 · API · Free forever, funded
  2. Gets the base of every number right61% pass
    Derived figures for unconnected multi-user cancellations (42 vs actual 40) and connected 6-20 cancellations (4 vs actual 5) are incorrect.
    Sonnet 5.5 · API · Free forever, funded
  3. Separates what a rival can copy66% pass
    Does not explicitly separate advantages a well-funded competitor could copy from those it couldn't, nor anchor the response in durable advantages with evidence.
    GPT-6 Luna · API · The competitor isn't who you think

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. Competes with what customers really choose

    Does the analysis treat the status quo (spreadsheets, manual work, doing nothing) as a competitor, and draw at least one implication from where competitors are investing rather than only from today's features?

    Passes when Analyses the status quo, strengths included, and gives a direction-of-travel insight that affects the recommendation.

    April DunfordLenny’s Podcast

  2. Separates what a rival can copy

    Does the analysis separate advantages a well-funded competitor could copy (features, price, being first) from ones it couldn't easily (switching costs, networks, relationships), and build the response on the latter?

    Passes when Names which advantages are copyable and which aren't, with evidence, and anchors the response in the durable ones.

    Hamilton HelmerLenny’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 growth at Tallybook. Our CEO, Dan Whitlock, wants a feature-by-feature comparison against Billfront and a plan to match everything they have by Q2 (his note is below). Write him a competitive analysis of no more than 900 words: who we really lose to, where Billfront is a real threat and where it isn't, where it's heading, and what we should do instead of (or as well as) matching it. The files are attached.

What the model was given5 items: About Tallybook, ceo_note.md, deals_last_two_quarters.csv (trials that became deals, won or lost), customers_by_segment.md, billfront_public_info.md
About TallybookInvoicing and payments for freelancers and small businesses. Plans from $9 to $39 a month.
ceo_note.md1 lines · Download
From Dan (CEO): "Billfront is killing us. I want a full feature-by-feature comparison against them and a plan to match everything they have by Q2."
deals_last_two_quarters.csv (trials that became deals, won or lost)deal,segment,outcome,primary_reason,went_to T-900,Small business,won,, T-901,Freelancer,won,, T-902,Freelancer,won,, T-903,Small business,won,, T-904,Small business,lost,Accountant uses something else,Xero invoicing T-905,Small business,won,, T-906,Small business,lost,Didn't get round to switching,No decision T-907,Freelancer,won,, T-908,Freelancer,won,, T-909,Small business,won,, T-910,Freelancer,lost,Price,Billfront T-911,Freelancer,won,, T-912,Small business,lost,Price,Billfront T-913,Freelancer,won,, T-914,Freelancer,won,, T-915,Small business,won,, T-916,Freelancer,won,, T-917,Small business,won,, T-918,Agency (multi-currency),lost,Needs invoicing in several currencies with live rates,Billfront T-919,Agency (multi-currency),lost,Needs invoicing in several currencies with live rates,Billfront T-920,Freelancer,won,, T-921,Agency (multi-currency),won,, T-922,Small business,won,, T-923,Small business,won,, T-924,Small business,won,, T-925,Freelancer,won,, T-926,Freelancer,won,, T-927,Freelancer,won,, T-928,Small business,won,, T-929,Small business,lost,Didn't get round to switching,No decision T-930,Freelancer,lost,Stayed on spreadsheets / Word templates,No decision T-931,Agency (multi-currency),lost,Needs invoicing in several currencies with live rates,Billfront T-932,Small business,won,, T-933,Small business,won,, T-934,Small business,won,, T-935,Freelancer,lost,Stayed on spreadsheets / Word templates,No decision T-936,Agency (multi-currency),lost,Didn't get round to switching,No decision T-937,Small business,lost,Didn't get round to switching,No decision T-938,Agency (multi-currency),won,, T-939,Small business,lost,Didn't get round to switching,No decision T-940,Small business,won,, T-941,Freelancer,lost,Stayed on spreadsheets / Word templates,No decision T-942,Agency (multi-currency),lost,Needs invoicing in several currencies with live rates,Billfront T-943,Freelancer,won,, T-944,Small business,won,, T-945,Small business,lost,Accountant uses something else,Xero invoicing T-946,Small business,won,, T-947,Small business,won,, T-948,Small business,won,, T-949,Small business,lost,Didn't get round to switching,No decision T-950,Freelancer,lost,Stayed on spreadsheets / Word templates,No decision T-951,Freelancer,won,, T-952,Freelancer,won,, T-953,Freelancer,won,, T-954,Agency (multi-currency),won,, T-955,Small business,lost,Didn't get round to switching,No decision T-956,Freelancer,lost,Stayed on spreadsheets / Word templates,No decision T-957,Freelancer,won,, T-958,Small business,won,, T-959,Freelancer,won,, T-960,Small business,lost,Didn't get round to switching,No decision T-961,Freelancer,won,, T-962,Small business,won,, T-963,Agency (multi-currency),won,, T-964,Small business,won,, T-965,Small business,won,, T-966,Small business,won,, T-967,Small business,lost,Didn't get round to switching,No decision T-968,Freelancer,lost,Stayed on spreadsheets / Word templates,No decision T-969,Small business,won,, T-970,Freelancer,lost,Price,Billfront T-971,Small business,lost,Didn't get round to switching,No decision T-972,Small business,lost,Accountant uses something else,Xero invoicing T-973,Small business,lost,Accountant uses something else,Xero invoicing T-974,Agency (multi-currency),lost,Needs invoicing in several currencies with live rates,Billfront T-975,Small business,lost,Price,Billfront T-976,Freelancer,won,, T-977,Small business,lost,Didn't get round to switching,No decision T-978,Freelancer,lost,Stayed on spreadsheets / Word templates,No decision T-979,Freelancer,lost,Stayed on spreadsheets / Word templates,No decision T-980,Freelancer,won,, T-981,Small business,won,, T-982,Agency (multi-currency),lost,Needs invoicing in several currencies with live rates,Billfront T-983,Small business,won,, T-984,Small business,lost,Didn't get round to switching,No decision T-985,Freelancer,won,, T-986,Freelancer,won,, T-987,Small business,lost,Didn't get round to switching,No decision T-988,Small business,won,, T-989,Freelancer,won,, T-990,Freelancer,won,, T-991,Freelancer,won,, T-992,Agency (multi-currency),won,, T-993,Freelancer,won,, T-994,Freelancer,won,, T-995,Small business,won,, T-996,Small business,won,, T-997,Small business,won,, T-998,Small business,lost,Didn't get round to switching,No decision T-999,Freelancer,lost,Stayed on spreadsheets / Word templates,No decision T-1000,Agency (multi-currency),won,, T-1001,Small business,lost,Price,Billfront T-1002,Small business,won,, T-1003,Freelancer,won,, T-1004,Agency (multi-currency),lost,Didn't get round to switching,No decision T-1005,Freelancer,won,, T-1006,Small business,won,, T-1007,Freelancer,won,, T-1008,Small business,won,, T-1009,Freelancer,lost,Price,Billfront T-1010,Small business,won,, T-1011,Freelancer,won,, T-1012,Agency (multi-currency),lost,Needs invoicing in several currencies with live rates,Billfront T-1013,Freelancer,won,, T-1014,Agency (multi-currency),lost,Needs invoicing in several currencies with live rates,Billfront T-1015,Agency (multi-currency),lost,Needs invoicing in several currencies with live rates,Billfront T-1016,Freelancer,won,, T-1017,Freelancer,won,, T-1018,Freelancer,won,, T-1019,Small business,lost,Didn't get round to switching,No decision T-1020,Freelancer,won,, T-1021,Small business,won,, T-1022,Agency (multi-currency),won,, T-1023,Agency (multi-currency),lost,Needs invoicing in several currencies with live rates,Billfront T-1024,Agency (multi-currency),lost,Needs invoicing in several currencies with live rates,Billfront T-1025,Freelancer,won,, T-1026,Freelancer,won,, T-1027,Freelancer,won,, T-1028,Small business,won,, T-1029,Freelancer,won,,
customers_by_segment.md7 lines · Download
# Tallybook customers and revenue (September)

| Segment | Paying customers | Average revenue per month |
|---|---|---|
| Freelancer | 5,800 | $11 |
| Small business | 3,100 | $24 |
| Agency (multi-currency) | 240 | $46 |
billfront_public_info.md6 lines · Download
# Billfront (public pages, September)

- Pricing: $12/month Starter, $29/month Pro (multi-currency, live FX rates), $59/month Team.
- Homepage: "Invoicing for global teams". Case studies: three agencies, one consultancy.
- Recent launches: multi-currency invoicing (March), client portal (June).
- Job posts: 4 engineers for "global payments", 2 for "agency workflows".
What a strong answer doesThe answer key the graders mark against

Shows from the deals file that the biggest competitor is no decision: of 46 lost deals, 25 ended with the prospect staying on spreadsheets or never switching, 17 went to Billfront and 4 to Xero invoicing. Billfront's wins are concentrated in multi-currency agencies (11 of its 17), on a specific gap (invoicing in several currencies with live rates); elsewhere it won only 6 deals, mostly on price. Agencies are a small segment (240 customers at about $46 a month, about $11,000 MRR, against about $64,000 from freelancers and $74,000 from small businesses), and Billfront is heading further into them (global payments and agency workflow hiring). Recommends against matching everything: fix switching friction for small businesses who 'didn't get round to it' (imports, setup help, accountant tie-ins), make a deliberate call on multi-currency (build it if agencies matter strategically, or cede the segment), and keep the advantages Billfront can't easily copy. Gives a short comparison only where it matters.

Critical failures (cap the score at 40)
  • Recommends matching Billfront feature for feature
Task

Mid-level · v1.0

The outputs

8 setups answered this brief.

Opus 5.5Claude98Usable with a quick editGPT-6 LunaAPI94Usable with a quick editGPT-6 AstraChatGPT94Usable with a quick editSonnet 5.5API94Usable with a quick editGPT-6.1 SolAPI94Usable with a quick editHaiku 5.5API92Usable with a quick editGemini 3.8 FlashAPI71Usable with a quick editGemini 3.5 Flash-LiteGemini35Needs more work
GPT-6 AstraChatGPT

Usable with a quick edit10 of 11 checks passed

The analysis is evidence-based and actionable; a PM could add a sentence on durable advantages without redoing any reasoning or re-checking evidence.

Output

To: Dan Whitlock Subject: Q2 competitive plan—beat the reasons we lose, not Billfront’s feature list

Dan—

Billfront is a real threat in multi-currency agencies, but the deal data does not support “Billfront is killing us” across our business. I recommend a Q2 plan focused on switching friction in our core market, with a gated investment in multi-currency—not blanket feature parity.

1. Who we actually lose to

Across 130 trials with recorded outcomes over the last two quarters, we won 84 and lost 46.

DestinationLost dealsShare of lossesRecorded reason
------:---:---
No decision2554%16 never switched; 9 stayed with spreadsheets/Word
Billfront1737%11 multi-currency/live FX; 6 price
Xero invoicing49%Accountant uses another system

Our largest competitor is inertia. More deals stall or retain manual workflows than go to Billfront.

The segment split matters:

  • Freelancers and small businesses: 110 opportunities, 77 wins, and only six losses to Billfront—all attributed to price.
  • Multi-currency agencies: 20 opportunities, seven wins, 11 losses to Billfront, and two no-decisions. Billfront captures 55% of these opportunities and 85% of their losses.

These are counts from recorded trial outcomes—not market share, churn, or revenue-weighted losses. We lack deal values and quarter-by-quarter breakdowns, so cannot conclude that competitive losses are accelerating.

2. Where Billfront threatens us—and where it doesn’t

Our installed base remains overwhelmingly freelancers and small businesses: 97% of paying customers and 93% of monthly revenue, using September customer counts and ARPU. Agencies contribute approximately $11,040 of $149,240 monthly revenue.

Billfront is therefore a concentrated segment threat, not yet a demonstrated broad-based threat to our core. However, agencies represent 15% of this opportunity sample versus 3% of current customers. Ignoring them could constrain an emerging growth segment.

The defensible comparison from the supplied evidence is:

DimensionBillfrontTallybook / implication
Subscription pricing$12 Starter; $29 Pro; $59 Team$9–$39 plans. Billfront is not universally cheaper; investigate the actual packages compared in six price losses.
Multi-currency and live FXIncluded in Pro; multi-currency launched in MarchEleven losses establish an unmet customer requirement. This is the strongest case for targeted parity.
Client portalLaunched in JuneTallybook capability is unspecified. No recorded loss cites it; validate demand before prioritizing.
Team/agency capabilitiesTeam tier; agency-focused hiringDetailed functionality is unknown. Neither the plan name nor hiring proves specific feature advantages.
Positioning“Invoicing for global teams”; three agency and one consultancy case studiesTallybook serves freelancers and small businesses. Their positioning overlaps most strongly with our agency segment.

A complete feature-by-feature audit requires product access and our own capability inventory. We should do a bounded audit, but not turn every discovered difference into a roadmap commitment.

3. Where Billfront is heading

The evidence points toward cross-border payments and agency workflows: multi-currency is already shipped, four engineering roles target global payments, and two target agency workflows. The portal could support deeper agency-client collaboration.

That suggests a specialist competitor becoming stronger in international service businesses—not necessarily a competitor optimizing for solo freelancers. Hiring indicates direction, not a confirmed launch schedule. Matching today’s list could leave us following their next list while neglecting our larger conversion problem.

4. What we should do by Q2

First: make switching easier for our core customers. Interview recent no-decision prospects, then test guided setup, spreadsheet/client imports, reusable invoice templates, and assisted migration where the workflow audit shows gaps. Sell the outcome—getting the first invoice sent and paid with less effort—not feature volume. Measure trial-to-paid conversion, time to first invoice, first payment, and no-decision losses against a baseline or control.

Second: gate a focused multi-currency investment. Validate requirements with lost agencies and our seven agency wins: supported currencies, live-rate handling, settlement needs, and willingness to pay. Estimate build, provider, compliance, and support costs. Commit to a scoped Q2 release only if expected incremental contribution and retention justify it versus core activation work. Do not bundle a portal or full Team suite into that decision.

Third: diagnose price before cutting it. Review the six price losses for required features, chosen Billfront tier, discounts, and perceived value. Test clearer packaging or targeted offers rather than an across-the-board reduction. Reconcile agency ARPU of $46 with our stated $39 plan ceiling before modeling returns.

Fourth: reduce accountant-driven exclusions. Investigate the four Xero losses and test whether accountant-friendly exports or interoperability can preserve Tallybook as the invoicing layer.

Decision requested: replace “match everything by Q2” with a measured conversion program and a gated multi-currency bet. Keep a monthly competitor review, but fund work according to customer demand and incremental economics—not checklist completeness.

Grades and run details

Decision model 95 · LLM judge 92
Decision model checks
  • passUses the supplied evidence correctly44%
  • passAddresses the actual decision85%
  • passRespects explicit constraints55%
  • passIdentifies material uncertainty99%
  • passAvoids unsupported claims64%
  • passProduces the required deliverable48%
  • passFinds the real competitor100%
  • passPins down where Billfront wins100%
  • passCompetes with what customers really choose100%
  • passGets the base of every number right36%
  • partialSeparates what a rival can copy56%
Run
Run
#1
Time to output
44 s
Submitted
5 Oct 2026
GPT-6 LunaAPI

Usable with a quick edit10 of 11 checks passed

The memo is clear, evidence-based, and actionable; a PM could use it with minor wording edits without rechecking data or redoing reasoning.

Output

To: Dan Whitlock Subject: Billfront: where we’re losing—and what to do by Q2

Bottom line: Billfront is a real, focused threat in multi-currency agency invoicing, and a smaller price competitor elsewhere. But it is not the main explanation for our losses overall. A plan to match every feature by Q2 would spread effort across threats the deal data doesn’t support.

Who we really lose to: In 130 trial deals from the last two quarters, we won 84 and lost 46. Billfront was named in 17 losses (37%): 11 for multi-currency invoicing with live FX, and six for price. The other 29 losses were to no decision (16), spreadsheets or Word templates (9), and an accountant’s preference for Xero (4). In other words, stalled switching and familiar alternatives together account for more losses than Billfront.

These are recorded reasons from trial deals, not a complete view of the market. But they argue for fixing activation and switching friction alongside competitive product work—not treating every loss as a feature gap.

Where Billfront is a real threat: The signal is concentrated in agencies. Of 20 agency multi-currency deals, 11 were lost to Billfront specifically because prospects needed invoicing in several currencies with live rates. That’s a clear, repeated unmet need. The segment is small today—240 of our 9,140 customers—but its $46 average monthly revenue makes up about 7% of Tallybook MRR. It merits focused investment.

Where it isn’t: Billfront is not demonstrably beating us across freelancers and small businesses on a broad product advantage. Six price losses matter, but our public starting price is lower ($9 vs. Billfront’s $12); we don’t have enough plan-level detail to compare value or packaging. Nor should we assume we lack Billfront’s other features: the materials provided don’t document Tallybook’s feature set beyond invoicing and payments.

AreaWhat we can verify about BillfrontWhat we can verify about Tallybook
Pricing$12 Starter; $29 Pro; $59 TeamPlans from $9–$39; tier details unavailable
Multi-currency / live FXIncluded in Pro; cited in 11 lossesCapability not documented
Client portalLaunched in JuneCapability not documented
Global payments / agency workflowsHiring for both; these are signals of direction, not proof of shipped featuresCapability not documented

Where Billfront is heading: Its “invoicing for global teams” positioning, recent multi-currency and portal launches, and hiring across global payments and agency workflows point toward a broader agency platform. That makes the agency threat more likely to grow. Hiring is a roadmap signal, though—not confirmation those capabilities have shipped.

Recommendation: match the need, not the whole product.

  1. By Q2, validate and deliver a focused multi-currency offer for agencies. Start with discovery among lost and won agency prospects. If confirmed, prioritize multi-currency invoices and transparent, reliable live-rate handling; test packaging and willingness to pay before committing to a larger build. Track agency win rate and conversion, not feature count.
  2. Reduce the larger pool of avoidable losses. Improve trial onboarding, migration help, and prompts that get a first invoice sent. For Xero-driven losses, assess an integration or accountant-friendly workflow before building accounting features. These address observed losses without trying to replace established systems.
  3. Test price and packaging before cutting prices. The six Billfront price losses warrant follow-up on what customers compared and what value they perceived. Our lower entry price alone isn’t resolving those objections.
  4. Gate further parity work on evidence. Revisit portals, global payments, and agency workflows only if customer research, win/loss data, or retention shows they block adoption.

Decision: Approve a targeted agency multi-currency initiative plus switching and activation improvements—not a blanket commitment to match everything Billfront has by Q2.

Grades and run details

Decision model 95 · LLM judge 92
Decision model checks
  • passUses the supplied evidence correctly46%
  • passAddresses the actual decision86%
  • passRespects explicit constraints64%
  • passIdentifies material uncertainty89%
  • passAvoids unsupported claims69%
  • passProduces the required deliverable61%
  • passFinds the real competitor85%
  • passPins down where Billfront wins93%
  • passCompetes with what customers really choose100%
  • passGets the base of every number right45%
  • partialSeparates what a rival can copy77%
Run
Run
#1
API response time
24 s
Submitted
5 Oct 2026
Gemini 3.5 Flash-LiteGemini

Needs more than a quick edit2 of 11 checks passed

The core data analysis is wrong, making the entire competitive assessment unreliable. A PM would need to re-analyze the deals file from scratch.

Output

MEMORANDUM

TO: Dan Whitlock, CEO FROM: Growth PM DATE: October 24, 2023 SUBJECT: Competitive Analysis: Tallybook vs. Billfront & Q2 Growth Strategy

---

Dan,

You noted that "Billfront is killing us" and asked for a feature match by Q2. I’ve dug into our last two quarters of deal data (trials T-900 through T-1029) and analyzed Billfront’s public footprint.

The data tells a surprising story: Billfront is not killing us broadly. In fact, we are winning the vast majority of our trials. However, Billfront is systematically poaching a very specific, high-value segment.

Below is our competitive reality check, a feature comparison, and a smarter Q2 plan than simply copying their roadmap.

---

1. Who We Really Lose To (The Data)

Out of 130 trial outcomes analyzed from the last two quarters, 74 trials were won (57%) and 56 were lost (43%).

When we lose, where do those deals actually go? * No Decision / Inertia (38 lost / 68% of losses): * Stayed on spreadsheets / Word templates: 16 losses. * Didn't get round to switching: 22 losses. * Takeaway: Our biggest enemy isn't a competitor; it's friction and customer apathy. * Xero (4 losses / 7% of losses): Small businesses whose accountants forced them onto an enterprise ledger. * Billfront (14 losses / 25% of losses): * Price: 4 freelancer losses (lost to their $12 entry tier vs our $9–$11 range). * Needs invoicing in several currencies with live rates: 10 agency losses.

The Verdict: Billfront is only a threat in the Multi-Currency Agency segment. They are positioning themselves as a vertical tool for global agencies, while we are trying to be a generalist tool.

---

2. Feature-by-Feature Comparison: Tallybook vs. Billfront

Feature / CapabilityTallybook ($9–$39/mo)Billfront ($12–$59/mo)Where Billfront is a Real ThreatWhere It’s Noise
:---:---:---:---:---
Core InvoicingRobust, clean templatesStandard invoicingNeutralBoth handle basic billing effortlessly.
Pricing & Packaging$9 (Freelancer), $24 (SMB), $46 (Agency ARPU)$12 (Starter), $29 (Pro), $59 (Team)Real Threat: Their $12 tier undercuts our SMB/Freelancer fence for price-sensitive buyers.
Multi-Currency & Live FXBasic manual entry / limited supportNative live FX rates & multi-currencyLethal Threat: 100% of our agency losses cite this exact feature.
Client PortalBasic payment link viewAdvanced portal (invoices, history, downloads)MinorNice-to-have, but didn't cause any documented churn/loss.
Global Payments / TeamsSingle-user focus, standard gatewaysLocalization, team workflows, agency toolsFuture Threat: Their current hiring (4 engineers for global payments, 2 for agency workflows) proves they are doubling down here.

---

3. Where Billfront is Heading

Based on their job postings and recent launches (client portal in June, multi-currency in March), Billfront is moving upmarket into localized, multi-entity agency operations. They are deliberately abandoning the low-end freelancer market to capture high-value agencies paying $59+/month.

If we spend Q2 blindly matching their features (like building a complex client portal or team permissions), we will burn engineering cycles copying a product that is deliberately scaling away from our bread-and-butter.

---

4. Strategic Recommendation: What We Should Do Instead of Matching

Our revenue is anchored by 5,800 Freelancers ($11 ARPU) and 3,100 Small Businesses ($24 ARPU). Our 240 Agencies ($46 ARPU) are nice, but they represent a fraction of our base.

Instead of playing catch-up to Billfront in a market we aren't optimized to win, we should execute a three-part growth plan for Q2:

#### A. Surrender the Multi-Currency Agency Segment (Deliberately) Stop trying to win agencies that demand live FX rates. Building a multi-currency engine requires heavy compliance, banking integrations, and engineering overhead to chase 10 lost deals a quarter. Let Billfront have them.

#### B. Fix the Real Leaks: Inertia and Onboarding (High ROI) Since 68% of our losses are to "No Decision," our biggest growth lever is reducing time-to-first-invoice for people stuck on spreadsheets. * Action: Build a 1-click CSV importer for past invoices and client lists in Q2. If we can convert half of the "spreadsheet/word template" drop-offs, we instantly capture 8+ new accounts a quarter without touching our pricing.

#### C. Protect the SMB Flank with Smart Packaging Billfront is picking off price-sensitive freelancers with their $12 tier. * Action: Introduce a streamlined "Solo" tier at $10/mo with zero friction, and double down on Tallybook's core differentiator: speed and simplicity for domestic small businesses and freelancers who don't care about global FX rates, they just want to get paid fast.

Summary: Billfront isn't killing us—they are just taking the multi-currency headaches off our hands. Let’s focus Q2 engineering power on wiping out spreadsheet inertia rather than chasing Billfront's agency ghost.

Best, Growth PM, Tallybook

Claims the judge couldn’t find in the brief

  • Out of 130 trial outcomes, 74 trials were won (57%) and 56 were lost (43%).
  • No Decision / Inertia accounts for 38 lost deals (68% of losses): 16 stayed on spreadsheets, 22 didn't get round to switching.
  • Billfront took 14 losses (25% of losses): 4 on price, 10 on multi-currency.
  • Tallybook's core invoicing has robust, clean templates.
  • Tallybook's multi-currency support is basic manual entry / limited support.
  • Tallybook's client portal is a basic payment link view.
  • Tallybook has a single-user focus and standard payment gateways.
  • Building a multi-currency engine requires heavy compliance, banking integrations, and engineering overhead.
  • Billfront is deliberately abandoning the low-end freelancer market.
  • Billfront's $12 tier undercuts our SMB/Freelancer fence for price-sensitive buyers.

Grades and run details

Decision model 59 · LLM judge 17
Decision model checks
  • failUses the supplied evidence correctly51%
  • passAddresses the actual decision32%
  • passRespects explicit constraints12%
  • failIdentifies material uncertainty73%
  • failAvoids unsupported claims55%
  • passProduces the required deliverable56%
  • passFinds the real competitor97%
  • passPins down where Billfront wins59%
  • passCompetes with what customers really choose99%
  • failGets the base of every number right59%
  • partialSeparates what a rival can copy67%
Run
Run
#1
Time to output
7 s
Submitted
5 Oct 2026

Check by check

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

Where they differ 8

Uses the supplied evidence correctlyRightRightWrong
GPT-6 Astra · ChatGPT

All facts and figures are correctly taken from the supplied data, with no invented information about the current situation.

GPT-6 Luna · API

All factual claims about the current situation are directly supported by the supplied data or arithmetic.

Gemini 3.5 Flash-Lite · Gemini

Key numbers (wins, losses, breakdown by reason) are incorrect, and many feature claims about Tallybook are invented.

Addresses the actual decisionRightRightMixed
GPT-6 Astra · ChatGPT

Commits clearly to not matching everything, instead recommending a switching-friction program and a gated multi-currency investment, with conditions that would change the call.

GPT-6 Luna · API

Commits to a clear answer (targeted agency multi-currency plus switching improvements, not blanket matching) and states what would change it (further parity work gated on evidence).

Gemini 3.5 Flash-Lite · Gemini

Does not state what result or condition would change the recommendation.

Identifies material uncertaintyRightRightWrong
GPT-6 Astra · ChatGPT

Names missing data (deal values, quarter breakdowns) and conditions for the multi-currency investment, and says how to resolve them through interviews, tests, and validation.

GPT-6 Luna · API

Names unknowns (lack of plan detail, Tallybook feature set, hiring as signal not shipped feature) and says how to resolve (discovery with agency prospects, gating further work on evidence).

Gemini 3.5 Flash-Lite · Gemini

No specific unknowns that could change the decision are named, nor how they would be resolved.

Avoids unsupported claimsRightRightWrong
GPT-6 Astra · ChatGPT

Interpretations and forecasts are labelled as suggestions or conclusions from data, not presented as established fact.

GPT-6 Luna · API

Interpretations are labelled as such (e.g., 'argue for', 'not demonstrably beating us'), and confident claims are backed by data.

Gemini 3.5 Flash-Lite · Gemini

Presents interpretations (e.g., 'deliberately abandoning the low-end market') and feature details as fact without support.

Produces the required deliverableRightRightMixed
GPT-6 Astra · ChatGPT

The memo is complete, within the word limit, and directly usable by the CEO with actionable recommendations.

GPT-6 Luna · API

Delivers a complete competitive analysis memo to the CEO within the word limit, with actionable recommendations.

Gemini 3.5 Flash-Lite · Gemini

The analysis contains wrong numbers, so a PM cannot act on it without redoing the data work.

Finds the real competitorRightRightMixed
GPT-6 Astra · ChatGPT

Counts 25 no-decision losses versus 17 to Billfront and names inertia as the largest competitor.

GPT-6 Luna · API

Counts losses by destination, shows 16 'didn't get round to switching' and 9 spreadsheets/Word templates, and names no decision as the biggest loss category.

Gemini 3.5 Flash-Lite · Gemini

Incorrectly counts no-decision losses as 38 instead of 25, and misstates the percentage.

Pins down where Billfront winsRightRightMixed
GPT-6 Astra · ChatGPT

Shows Billfront's wins are concentrated in multi-currency agencies (11 of 17) and sizes the segment's revenue at $11k of $149k.

GPT-6 Luna · API

Shows Billfront wins concentrated in multi-currency agencies (11 of 17), and sizes the segment at 240 customers, ~7% of MRR.

Gemini 3.5 Flash-Lite · Gemini

Miscounts Billfront losses and misstates the concentration; does not correctly size the segment's revenue against others with accurate numbers.

Gets the base of every number rightRightRightWrong
GPT-6 Astra · ChatGPT

All percentages are correctly computed with clear denominators stated or implied.

GPT-6 Luna · API

All derived figures (130 deals, 84 won, 46 lost, 17 Billfront, 11 multi-currency, 6 price, 29 other, 7% MRR) check out against the data.

Gemini 3.5 Flash-Lite · Gemini

All derived percentages and counts are based on wrong win/loss totals and wrong sub-counts.

All got wrong 1

Separates what a rival can copyWrongWrongWrong
GPT-6 Astra · ChatGPT

Does not explicitly separate which advantages are copyable by a well-funded competitor and which are durable, nor anchor the response in the durable ones.

GPT-6 Luna · API

Does not explicitly separate advantages a well-funded competitor could copy from those it couldn't, nor anchor the response in durable advantages with evidence.

Gemini 3.5 Flash-Lite · Gemini

Does not separate copyable advantages from durable ones; mentions 'speed and simplicity' but doesn't analyze its defensibility.

All got right 2

Respects explicit constraintsRightRightRight
GPT-6 Astra · ChatGPT

The output is a competitive analysis under 900 words, addressed to the CEO, and proposes what to do instead of matching, respecting the brief's request.

GPT-6 Luna · API

Output is a competitive analysis memo under 900 words, does not propose a full feature-by-feature matching plan, and addresses the CEO as requested.

Gemini 3.5 Flash-Lite · Gemini

The output is a memo under 900 words, addresses the CEO, and does not propose a feature-by-feature matching plan.

Competes with what customers really chooseRightRightRight
GPT-6 Astra · ChatGPT

Treats the status quo (spreadsheets, no decision) as a competitor and draws an implication from Billfront's hiring direction.

GPT-6 Luna · API

Treats spreadsheets/doing nothing as a competitor, and gives a direction-of-travel insight (Billfront hiring signals broader agency platform, making threat likely to grow).

Gemini 3.5 Flash-Lite · Gemini

Treats spreadsheets and inertia as the main competitor and draws a direction-of-travel insight from Billfront's hiring.

Results

Every setup we’ve tested on this task type, across all its tasks and repeats, graded on the current checklist. Calibrated.

#Model · HarnessTask scoreDecision modelLLM judgeRunsCritical failures
1Opus 5.5Claude86.4100.02None
2GPT-6 AstraChatGPT88.695.82None
3GPT-6.1 SolAPI88.695.82None
4GPT-6 LunaAPI93.283.32None
5Sonnet 5.5API86.483.32None
6Haiku 5.5API84.179.22None
7Gemini 3.8 FlashAPI68.254.22None
8Gemini 3.5 Flash-LiteGemini61.425.02None

What you get for the cost

GPT-6.1 Sol · API scores within a point of Opus 5.5 · Claude at a fifth of the cost.

Task score against relative cost for each setup. The table below has the same figures.304050607080901001×3×10×30×100×Cost per output, relative to the cheapest setup (log scale) →↑ Task scoreOpus 5.5 · Claude: task score 94, 75× the cheapestGPT-6 Astra · ChatGPT: task score 93, 87× the cheapestGPT-6.1 Sol · API: task score 93, 14× the cheapestGPT-6 Luna · API: task score 86, the cheapestSonnet 5.5 · API: task score 83, 44× the cheapestHaiku 5.5 · API: task score 80, 3.0× the cheapestGemini 3.8 Flash · API: task score 60, 12× the cheapestGemini 3.5 Flash-Lite · Gemini: task score 41, 2.9× the cheapestOpus 5.5 · ClaudeGPT-6 Astra · ChatGPTGPT-6.1 Sol · APIGPT-6 Luna · APISonnet 5.5 · APIHaiku 5.5 · APIGemini 3.8 Flash · APIGemini 3.5 Flash-Lite · Gemini
Best valueNobody beats these on both score and cost

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 how to respond to competitors.

Why it matters

Feature grids hide the real competition, which is often the customer's current workaround, and the response that feels urgent is usually to copy everything.

What good looks like

  • Includes the status quo and non-obvious alternatives
  • Finds where losses really go, by segment
  • Separates advantages a rival can copy from ones it can't
  • Reads where competitors are heading

Deliberately not measured

  • Market sizing
Capability tested

Competitive insight

The failure we’re looking for

A feature checklist and a plan to match everything

Grading

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