User Research Synthesis Skill for ChatGPT: Code Interview Themes
Organize interviews, survey responses, and support tickets into themes with sample context, sentiment, and evidence. Rank follow-up actions by prevalence, severity, and actionability while keeping limitations visible.
中文Install in ChatGPT
Use an eligible ChatGPT workspace with permission to create skills and, for uploads, upload permission. The installation path for this text-only adaptation was checked against OpenAI documentation. Workspace runtime verification is pending.
- Download skills/user-research-synthesis/SKILL.md from the pinned GitHub source. Keep the name, description, and instructions for user-research-synthesis together as a standalone text skill.
- In a ChatGPT workspace with skills and uploads enabled, open Plugins, Skills, Create, and Upload from your computer. Choose a skill package format accepted by the file picker. You can also choose Create with editor and enter the original name, description, and instructions.
- After the scan completes, check that user-research-synthesis appears in Installed. Type @ in a new chat, select the skill, and use the fictional example on this page to check the output.
Example task
Give it three fictional interviews. A could not find the invoice in an order, B found it after contacting support, and C was happy with email delivery. All three are paid users interviewed in the same week. Ask for a theme table with evidence and a follow-up recommendation.What to check
The table should show invoice discovery friction in 2 of 3 interviews and keep email satisfaction as a separate positive signal. It should propose testing the entry point and limit the proportion to this interview sample.
Original SKILL.md on GitHub · Updated
Frequently asked question
Can I combine support tickets and interviews?
Yes. Keep source, date, and segment labels and account for repeat reports. Compare sources for corroboration and record contradictory examples.