Behavioral User Persona Skill for ChatGPT: Derive Goals, Friction and Priority From Research
Synthesize supplied user research into personas based on behavior, motivations, and tasks. Retain evidence and sample limits and explain design priorities.
中文Install in ChatGPT
Requires a ChatGPT workspace where you can create skills. This is a text adaptation of the pinned GitHub source.
- Review the inputs and outputs in the pinned .claude/skills/designer-role/skills/user-persona/SKILL.md.
- In ChatGPT, open Plugins, Skills, Create, and Create with editor.
- Write the skill rules using the workflow described here. Provide de-identified research, product tasks, observed behavior, and the design decision.
- Save the skill and check the fictional example in a new chat.
Example task
In a fictional six-person booking study, four search by date first. Two need accessibility filters and hit severe barriers. Draft two personas.What to check
Distinguish date-first and facility-first behavior, preserving counts and friction. Explain any priority with impact, evidence, and validation needs.
Original SKILL.md on GitHub · Updated
Frequently asked question
Can a typical age be inserted without research?
Use observed factors that affect design. Leave unavailable demographic details open for research.