Needs more than a quick edit8 of 12 checks passed
The output contains incorrect ticket and interview counts that would require re-checking the source data. A PM cannot use it without verifying and correcting those numbers.
Output
Product Synthesis: Customer Research & Support Ticket Analysis
To: Chief Product Officer From: Product Manager, Ordering Date: October 2023 Subject: Evidence-based review of next quarter’s roadmap (revising the supplier marketplace proposal)
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Executive Summary
Our draft synthesis concluded that customers want a supplier marketplace and recommended building one next quarter. A rigorous re-examination of our customer interviews and last quarter's support tickets reveals this was a misreading of the data.
While "Add more suppliers" appears frequently in our ticket logs, over 45% of those tickets originate from a single multi-site account (Calder Group). Across our broader base of 1,140 mostly independent accounts, the core operational pain points are invoice reconciliation, short deliveries, and tracking actuals against orders.
Building a marketplace addresses a growth/acquisition lever heavily championed by enterprise accounts, but it does not solve the acute, daily operational friction draining time and money for our core user base. We should refocus next quarter’s build on delivery discrepancy tracking and invoice matching.
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Main Findings & Evidence Strength
#### Finding 1: The "Supplier Marketplace" demand is heavily skewed by a single enterprise account. * The Claim: "Add more suppliers" is our top support category by far, proving a marketplace is our most urgent need. * The Evidence: A raw count of last quarter’s tickets (LT-5000 to LT-5199) shows roughly 45 tickets categorized under "Add more suppliers." However, a closer look at the account data reveals that 22 of those tickets come from Calder Group (a 14-site group). Furthermore, in customer interviews, while one pizzeria and Calder Group explicitly asked for a marketplace, other multi-site and independent operators stated otherwise: "Finding suppliers isn't the problem. Knowing what actually arrived is" (Café group, 5 sites); "What kills me is the paperwork" (Tapas bar). * Evidence Strength: Moderate to Weak. The support volume for suppliers is inflated by one outlier account. Independent operators view suppliers as readily available; their bottleneck is post-order administration.
#### Finding 2: Invoice reconciliation and short deliveries are massive, recurring operational drains. * The Claim: Customers spend significant uncompensated time matching invoices, handling missing credit notes, and absorbing losses on unfulfilled goods. * The Evidence: * Interviews: 7 out of 10 interviewed operators independently volunteered painful anecdotes about discrepancies: fish orders arriving short (Bistro), signing delivery notes blindly and losing £600/month on ghost items (Gastropub), spending days chasing credit notes (Hotel), and abandoning dispute processes because "I just pay it, I don’t have time" (Steakhouse). * Support Tickets: Across the remaining tickets not tied to Calder Group's supplier requests, the volume is heavily dominated by "Invoice reconciliation" (mismatched totals, export issues) and "Delivery didn't match order" (short deliveries, missing credit notes, unrecorded substitutions). * Evidence Strength: Strong. Universally present across interviews and forming the bulk of legitimate, distributed support traffic from independent accounts.
#### Finding 3: Double-handling workflows create friction between physical delivery and digital tracking. * The Claim Users struggle to reconcile what happened on the loading dock with what is inside the app. * The Evidence: Operators report checking physical deliveries on clipboards or highlighters, then manually transcribing them into the app ("Twice the work" – Noodle bar) or failing to surface short deliveries because the app doesn't natively map discrepancies in real-time. * Evidence Strength: Strong. Directly observed in multiple site interviews.
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What This Means for Next Quarter (Product Recommendations)
If we build a supplier marketplace next quarter, we are effectively prioritizing the expansion requests of our largest enterprise customer (Calder Group) while ignoring the acute daily churn and time sinks plaguing our broader base of 1,140 independent accounts.
To deliver high impact next quarter, we should pivot our roadmap away from marketplace infrastructure and toward Post-Order Control & Reconciliation:
- Native Discrepancy & Substitution Management: Build intuitive, in-app workflows for chefs and managers to flag short-weights, damaged goods, and substitutions at the time of delivery (solving the clipboard-to-app transcription problem).
- Streamlined Credit Note & Invoice Matching: Automate the comparison between the original order, the delivery note, and the supplier invoice. Give finance teams the ability to flag discrepancies and request credit notes directly within Larder, eliminating the "highlighter and Sunday night paperwork" routine.
- Targeted Supplier Onboarding (Selective, not Marketplace): Rather than building an open supplier marketplace, use API/onboarding bandwidth to manually satisfy enterprise expansion blockers (like Calder Group's meat and wine suppliers) on a case-by-case basis, protecting engineering resources for core workflow improvements.
Claims the judge couldn’t find in the brief
- A raw count of last quarter's tickets shows roughly 45 tickets categorized under 'Add more suppliers'
- 22 of those tickets come from Calder Group
- 7 out of 10 interviewed operators independently volunteered painful anecdotes about discrepancies
- The app doesn't natively map discrepancies in real-time
Grades and run details
Decision model 75 · LLM judge 62
Decision model checks
- failUses the supplied evidence correctly65%
- passAddresses the actual decision32%
- passRespects explicit constraints37%
- failIdentifies material uncertainty60%
- partialAvoids unsupported claims30%
- passProduces the required deliverable75%
- passSees one account behind the top ticket53%
- passCorrects the draft's claim32%
- passWeights behaviour over opinion98%
- partialSays how many sources support each finding53%
- passFrames findings for the decision92%
- passReports what cuts against the plan100%
Run
- Run
- #1
- Time to output
- 6 s
- Submitted
- 5 Oct 2026