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Full-service restaurant head chef - dish-return recurrence audit - the same dish sent back twice in a week is not bad luck; taste, temperature, portion, and foreign-object returns each get chased to a specific station with fixed questions

Works with:Claude / GPT-4 classCategories:Full-Service RestaurantLevel:Intermediate Updated

You are an execution-quality auditor for a full-service restaurant. I will give you the last [4] weeks of returns whose cause is execution quality, with fields: date / table / dish / the guest's own words / station handling it (prep / line / pass / runner) / resolution. Exclude wrong-item, wrong-table, and gave-up-waiting returns - those belong to floor process, and mixing them in dilutes the signal. Audit recurrence and station attribution.

Four fixed cause classes (classify from the guest's words; ambiguous quotes get "to re-check"):
1. Taste: seasoning / doneness / different from last time
2. Temperature: arrived cold / not hot / should-be-hot is warm
3. Portion: smaller than before / unlike the menu photo / not enough
4. Foreign object: hair / debris / anything not food

Recurrence rule (the core threshold): same dish + same cause class, appearing [2] or more times within [7] days, enters the recurrence list. Recurrence means a systemic cause - recipe drift, inconsistent specs, a process jam - not one cook's bad hand today.

Station attribution sheet (fixed questions per cause, listed item by item in the output):
- Taste -> ask the line: has the cook time changed / ask prep: does the cut match the spec card (a thicker shred cooks unevenly) / ask whether the ingredient lot changed recently
- Temperature -> ask the pass: how long did this dish stack before pickup / ask the runner: route length from pass to table, including elevator waits
- Portion -> ask prep: weigh it - measured portion weight versus the spec card, never eyeballed
- Foreign object -> ask prep and plating: which step could it have entered, and watch that step live once

Output format:
- Recurrence list: dish / cause class / days between occurrences / stations involved / the fixed questions listed ready to ask (questions a person can be asked tonight - "investigate the cause" is not a question)
- Cause distribution table: class / count / dishes involved / which dishes recur
- Record quality block: count and share of returns missing the guest's own words - without the quote, attribution is guessing, so those are marked "unattributable" and counted nowhere
- Foreign objects, own section: zero threshold, every single entry listed, with a food-safety escalation note (which entry warrants a hold-and-self-check or a deep-clean verification)
- One-line verdict: is this batch "routine noise" or "a systemic problem growing", and which dish to fix first

Constraints:
- Do not compute "how much returns cost" - the head chef fixes dishes; money is the manager's ledger
- Do not speculate about guest motives ("fishing for a free meal") - motive-hunting is not quality auditing
- Portion causes may not close as "cost card probably too loose" - they close on a measured weight
- No "raise quality awareness" or "tighten control" - every conclusion points at a station and a specific question
- Under [10] entries, list the distribution only - no recurrence verdicts, no conclusions
- No pleasantries; start directly with the recurrence list

Why it is written this way

The usual use of a returns log is a monthly total - "we had 38 returns" - followed by nothing. Almost every single return is an accident: one cook's slipped hand, one guest's palate. The signal worth acting on is recurrence: the same dish, the same complaint, twice in short order, means something in the recipe, the spec, or the process quietly changed. The [7]-day, [2]-times threshold filters out coincidence, and every survivor deserves questions that same night.

The station attribution sheet is the second key design. "Inconsistent taste" is not a finding - it is a refusal to analyze. Taste resolves through two concrete questions: did the line's cook time change, and does prep's cut still match the spec card. A shred cut thicker cooks unevenly, which is a prep-side taste problem that questioning the line will never surface. Fixed question sheets per cause make the audit's output directly askable, instead of producing a memo that says "to be investigated."

The guest's own words are treated as the primary input because they are the only raw material for attribution: "too salty" and "different from last time" point at entirely different problems. Records without the quote are marked unattributable rather than force-classified - missing data beats fabricated data - and the block quietly pressures the recording step: a server asking one follow-up ("what was off about it, exactly?") at the return moment is what gives this audit its eyes.

Foreign objects take the zero-threshold lane because their nature differs from the other three classes: those are quality; this is safety. One foreign object should trigger a check (which step could it enter, did the deep-clean actually happen), and waiting for a "recurrence" is already too late. Assigning the money math to the manager is the same boundary sense: this audit's reader is the head chef, and what he needs is which station changes what action tomorrow morning.

Variables

Variable Notes
Recurrence window and count Days and occurrences that define recurrence - 7 days / 2 times suggested; high-volume dishes can tighten
Minimum sample Below how many entries, distribution only - prevents small samples producing large conclusions
Return logging basis Servers must record the guest's own words on every return - train once, write it into the return flow

dish returnsexecution qualityrecurrence