Usable with a quick edit9 of 12 checks passed
The output is clear, well-structured, and only needs a minor correction to the Ordering ticket count (30, not 31) to be fully accurate and usable.
Output
Synthesis for the CPO: what to build next quarter
Headline: The evidence doesn't support a marketplace. It points to the gap between what we order, what arrives and what we're invoiced. I recommend building delivery checking and reconciliation next quarter.
Corrections to the earlier draft
- "Add more suppliers is our top category by far" is an artefact of one account. Of 200 tickets, 75 are in that category, and 58 of those come from Calder Group, which repeats four requests: Brakes, a meat supplier, a dairy supplier and a wine merchant. The other 17 come from 17 different accounts. Without Calder, it is our smallest category (17 of 142 tickets, 12%).
- "Most customers want a marketplace" is wrong. Only 2 of 10 interviewees asked for more suppliers (Calder and the pizzeria). The tapas bar was lukewarm ("I suppose") and went straight to paperwork. The café group said finding suppliers "isn't the problem."
Findings and strength of evidence
1. Customers can't easily verify what was delivered against what they ordered and were invoiced for. Strength: strong. - Interviews: 7 of 10 describe this unprompted, and an eighth (tapas bar) says "paperwork" without detail. Examples are short fish orders found a week later, a chef signing notes unchecked (~£600 in a month), finance chasing credit notes, "my word against theirs," clipboard re-typing, and invoices that never match. - Tickets: "Delivery didn't match order" (34) and "Invoice reconciliation" (29) total 63 tickets, 44% of non-Calder volume, from about 62 distinct accounts. The ticket summaries include "short delivery not shown in app," "invoice includes items not delivered," "credit note missing" and "export doesn't show credits." - Interviews and tickets are independent sources and agree. The combined grouping is my judgement, but delivery tickets alone (34) are still twice the non-Calder supplier requests.
2. Generic demand for more suppliers is small and vague. Strength: moderate. - The 17 non-Calder tickets are "any plans for more suppliers?" (8) and "more produce suppliers" (9). They show mild interest, not a pain point. One interviewee (the pizzeria) wants more choice and better prices.
3. Calder Group has a real, specific need. Strength: strong for Calder, weak as a market signal. - Calder is one account with 14 sites, which says it would move all ordering to us with a marketplace. This is a stated, conditional intent. Its tickets name four suppliers, which is an onboarding request, not evidence for a marketplace. We don't yet know Calder's revenue or how many similar multi-site groups we have.
4. Smaller issues: ordering, logins and tablets. Strength: moderate, low priority. - Ordering (31 tickets) and login/access (31 tickets) are mostly routine. "Can't log in on tablet" matters because delivery checking will likely happen on a tablet at the back door.
What this means for next quarter
Build: a receiving and reconciliation flow. - Staff record what actually arrived at the door: shorts, substitutions and weights. - The app flags mismatches against the order and the invoice. - It produces a timestamped record the owner can send to the supplier as a credit-note claim. - Credits flow into the accountant export.
This addresses the main complaints: finding out a week late, the "my word against theirs" disputes, and double entry. It also helps the people who file tickets about short deliveries and missing credit notes.
Don't build: a marketplace. It's a large investment backed by one account and a few vague requests.
Handle Calder separately. Onboard their four named suppliers through our existing process if feasible. Then ask Calder whether that satisfies their "move everything to you" condition, and get their revenue.
Fix before building: tablet login reliability, since the new flow depends on it.
Caveats
- The sample is 10 interviews from September, and I don't know how they were recruited. Eight of ten raising the same pain is encouraging but not a measured prevalence.
- Tickets show what people contact support about, not everything that hurts. Customers with delivery problems may just pay the invoice, as the steakhouse does.
- Ticket data is one quarter, and the `account_sites` values are inconsistent for a few accounts (for example 1418 and 1625), so I haven't segmented by size.
- The £600 loss is one anecdote. Before committing scope, we should size the cost of short deliveries and unclaimed credits across a sample of accounts.
What would change my view
If we find a meaningful segment of multi-site groups like Calder, with material revenue that is blocked on supplier coverage, supplier breadth becomes a segment-specific bet. It would then be worth testing through targeted onboarding before any full marketplace.
Claims the judge couldn’t find in the brief
- Ordering (31 tickets) and login/access (31 tickets) are mostly routine.
Grades and run details
Decision model 100 · LLM judge 77
Decision model checks
- passUses the supplied evidence correctly36%
- passAddresses the actual decision100%
- passRespects explicit constraints53%
- passIdentifies material uncertainty100%
- passAvoids unsupported claims56%
- passProduces the required deliverable95%
- passSees one account behind the top ticket100%
- passCorrects the draft's claim99%
- passWeights behaviour over opinion100%
- passSays how many sources support each finding87%
- passFrames findings for the decision99%
- passReports what cuts against the plan100%
Run
- Run
- #1
- API response time
- 47 s
- Submitted
- 6 Oct 2026