Audit intermediate Works with: Any AI

Customer Complaint-to-Fix Workflow Audit

Table output Has example

Check whether complaints change the process.

The Open buttons send the prompt text as currently shown below to that site only when you click. Fill in the placeholders first.

Audit how complaints lead to fixes. Ten complaints with cause, response and whether the process changed: [COMPLAINT_DATA]. Who reviews trends: [REVIEWERS]. Time from complaint to fix: [FIX_TIMES].

Group complaints by root cause, check how many were fixed at source, how many repeat, and whether the fix was verified. Identify causes nobody owns.

Return a table with Cause, Count, Fixed? and Owner, a quarterly review agenda, and a closing-the-loop message template for customers.

Also suggest a root cause method that stops at actions the business can control, a log of fixes with dates and a follow-up check that the complaint type declined. Include a template for telling a customer what was changed.

Also check whether customers were told what changed, and suggest a monthly list of the fixes made so that the team can see their effect. Add a rule that a complaint is closed only when the fix is verified.

Finish by flagging any recommendation that could cause harm if applied carelessly, with a safer way to test it first on a small scale or a copy.

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Replace each bracketed placeholder with your own details, then paste into Any AI or another assistant.

Complaint review (invented, 10 complaints)
Causes: late delivery (4), wrong item (3), unclear price (2), rude reply (1).
Fixed at source: 2 of 10 (price wording). Repeat complaints: wrong item recurs for the same product code. Owner: none.
Time from complaint to fix: median 38 days.
Actions: assign owner for picking errors; add barcode check for that code; update the price page. Verify: count wrong-item complaints for eight weeks.
Customer message (60 words): "You were right and we have changed how we pack this item. Thank you for telling us."

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