Customer Interview Summary Skill for ChatGPT
Summarize an interview into the current workflow, the job the customer wants done, satisfaction signals, pain points, and follow-up questions. Keep the findings traceable to the transcript.
中文Install in ChatGPT
The publisher targets Codex. The standalone instructions and text-only example can be tried in an eligible ChatGPT workspace with skills and uploads enabled. The installation path is documented. Workspace runtime verification is pending.
- Download pm-product-discovery/skills/summarize-interview/SKILL.md from the pinned GitHub source on this page. Keep the filename and the name and description at the top, in a folder named summarize-interview.
- In an eligible ChatGPT workspace with skill uploads enabled, open Plugins, then Skills, Create, and Upload from your computer. Use a skill package format accepted by your file picker.
- Check the scan and the Installed list. You can also choose Create with editor and keep the original name, description, and instructions. Select the installed skill with @ in a new chat and try the fictional example.
Example task
Use fictional interview notes: Lin Na schedules shifts in a shared spreadsheet. She likes that colleagues can edit together, but shift swaps send no reminder, so she messages people separately. The interview date and coworkers’ views are absent.What to check
The summary preserves the shared spreadsheet, collaborative editing, missing reminders, and manual messages. It treats reminders as a need to validate and leaves the date and other views open.
Original SKILL.md on GitHub · Updated
Frequently asked question
Can one interview represent every customer?
Keep findings scoped to the interview. Record the participant’s role and context, then use follow-up interviews or usage data to see how widely the finding applies.