Audit beginner Works with: Any AI

Shopify Customer Service Response and Complaint Pattern Audit

Table output

Measure response times and find the main complaint causes.

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Audit customer service. Sample of tickets or emails with date, topic, first response time, resolution time and outcome: [TICKET_SAMPLE]. Our promised response time: [PROMISE].

Calculate median first response, share within the promise, resolution time and counts by topic, with arithmetic; small samples give direction, not proof. For the top three causes of contact, trace each back to the store (unclear delivery dates, missing size information, a confusing returns page), write the specific fix for the page or process and a canned reply with a placeholder for order details. Measure improvement as contacts per 100 orders (contacts divided by orders times 100) with a target. Return a table and a template library plan. Screens and defaults change over time; tag anything you cannot be sure of [VERIFY] and tell me how to confirm it. State the sample size next to each count and say which topics are too rare to judge. Put the cheapest fix first, so I can start with the change that removes the most contacts for the least work.

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