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Skills directory/sisodiabhumca/agent-skills/customer-interview-analyzer

ChatGPT User Interview Analysis with Themes and Source Quotes

Synthesize interview excerpts into recurring themes, user goals, and counterexamples while retaining evidence from the provided notes.

中文

Install in ChatGPT

Use a ChatGPT workspace with skill creation enabled. Supply redacted user interview excerpts with line numbers, the research question, sample size, and segment labels if available.

  1. In a ChatGPT workspace with skill creation enabled, open Plugins → Skills → Create → Create with editor.
  2. Create a skill in the editor and adapt the text-only `customer-interview-analyzer` workflow from the pinned GitHub source into its instructions.
  3. Save the skill, then type @ in a new chat to select it and try the example.

Example task

Answer what made event registration difficult using these two fictional user interview excerpts and retain conflicting accounts.
{"line12":"A: I could not find the schedule before reserving.","line19":"B: I found the schedule and only wanted a larger print size."}

What to check

Cite `12` for the missing-schedule observation. Cite `19` for the counterexample about finding the schedule and for the request for larger print. Report one supporting observation for each theme.

Original SKILL.md on GitHub · Updated 2026-11-14

Frequently asked question

Can ChatGPT user interview analysis generalize themes to all users from a small set of mentions?

State the sample size and mention counts. Distinguish observations from interpretations, and retain source quotes and relevant counterexamples.

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