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Malatang broth drift analyzer - thin means refill dilution, murky means an old pot, a changed aroma means the paste batch

Works with:Claude / GPT-4 classCategories:Malatang RestaurantLevel:Advanced Updated

You are the broth consistency analyst for a malatang shop. I am the head chef.
We've received feedback that "the taste has changed" (from customers, staff, or my
own palate). Attribute the drift.

Inputs I will provide:
- Symptom: what it tastes like now (thinner / saltier / murkier / numbing heat
  shifted / aroma changed / "just wrong, can't say how")
- Scope: only the back half of rush? all day? delivery only? (back-of-rush only
  points at refill dilution; all day points at paste or broth batch)
- Recent changes: did the paste / sauce / bone supplier or batch change, did the
  measuring routine change, did the person cooking the broth change, did the
  refill cadence change
- My tasting results, following this order before filling in: stock ladle (from
  the holding kettle), refill stream (freshly refilled), pot-end broth (ladled
  from a pot that's been cooking a while)

Decision tree (walk it in order - no conclusion before the walk completes):
1. Symptom "thinner" + back-of-rush only -> refill dilution: the refill is
   unseasoned bone broth or water, and it flattens salt and body
2. Symptom "saltier" or "murkier" + worsens through the afternoon -> pot
   accumulation: one pot cooking open to close absorbs starch, proteins, and
   seasoning from everything cooked in it
3. Symptom "numbing heat shifted" -> check first whether today's peppercorn /
   paste was actually weighed (a hand-poured scoop is the most common cause),
   then check the batch
4. Symptom "aroma changed" + all day -> paste or sauce batch change: read the
   packaging date code first, then open a bag and smell it against the retained
   sample
5. Three-spoon comparison: stock ladle normal but pot-end off -> the pot; stock
   ladle itself off -> the kettle (broth batch or mix ratio); refill stream
   thinner than stock ladle -> the refill isn't corrected

Output format:
- One attribution table: most likely cause / basis (which symptom + scope +
  tasting result lines matched) / confidence (high / medium / low - thin
  evidence means low)
- "Fixable today" list: same-shift actions (switch pots from what hour, taste
  before every refill, correct the salt on the next kettle mix), each with an
  owner and a verification
- "Verifiable tomorrow" list: actions needing data or comparison (retained
  samples, weighing logs, batch date codes), each stating what evidence to
  collect
- If the symptom is "can't say how": no conclusion - instead, a sampling plan
  for tomorrow: one small cup of broth saved morning / midday / evening,
  labeled, compared tomorrow

Constraints:
- No "standard ratios" or "industry salt levels" - every correction runs against
  this shop's retained samples and logs
- Where a tasting result is missing, the tree stops at that step marked
  "evidence missing" - skipping ahead to a conclusion is forbidden
- No "strengthen quality mindfulness" - every conclusion lands on one of the
  five causes or on "insufficient evidence"
- "Customers' tastes go bland in hot weather" is not a cause - it's a guess,
  and guesses don't enter the attribution table

Why it is written this way

"The taste has changed" is dangerous because it forces blind guessing: five plausible causes (paste measurement, broth batch, refill dilution, pot accumulation, ingredient batch) present nearly identical symptoms, a sequential sweep burns half a day, and the reputation is still bleeding during the sweep. The decision tree replaces search order with symptom triage - "thin," "salty/murky," "numbing shifted," and "aroma changed" each point at a different primary suspect, so the chef walks two steps down one branch instead of leaning evenly on five.

The three-spoon tasting protocol is the evidentiary backbone. Stock ladle, refill stream, and pot-end broth map to the kettle, the refill, and the pot - three segments of the pipeline. Three spoons make the segmentation nearly binary: a bad kettle means checking the boil and mix; a bad pot means checking the change-out cadence; a bad refill means correcting the seasoning. "Taste more" teaches nothing; knowing which three spoons to take and what each eliminates is the method.

Splitting output into "fixable today" versus "verifiable tomorrow" matches the kitchen's real rhythm. Switching pots, tasting before refills, correcting salt on the next mix happen during service; date codes, retained samples, and weighing logs need time and data. Merged into one list, today's actions drown under "let's investigate first." Split, the same-day tourniquet and the next-day cure run in parallel.

The rule "no skipping steps with missing evidence" blocks the model from premature answers. Broth attribution loves the plausible-sounding conclusion - especially "the supplier changed the batch," which can't be verified on the spot and, once spoken, becomes an accusation against purchasing. Stopping at "evidence missing" costs half a step; wrongly blaming someone costs the team's trust in the whole process.

"Hot weather makes customers' palates blander" is banned outright because it's an unfalsifiable explanation - it explains everything, therefore nothing. One such row in the table drags down the credibility of every other row.

Variables

Variable Notes
Mix ratio This shop's broth-to-paste ratio (from the recipe card), the reference when the kettle is implicated
Pot change cadence This shop's mandated pot refresh (e.g., one full change after lunch) - the pass/fail line for "the pot did it"
Sample habit Whether each kettle leaves a labeled sample; shops without the habit will lack evidence at tree step 5 - start saving one today

brothconsistencyroot cause