AI Product Sense Skill for ChatGPT: Structure a Design Interview From Segments to Metrics
Clarify goals and constraints, then compare user segments, journey pain points, and solutions. State the first release scope, main measure, and assumptions to test.
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 skills/product-sense/SKILL.md.
- In ChatGPT, open Plugins, Skills, Create, and Create with editor.
- Write the skill rules using the workflow described here. Provide the interview prompt, organization or setting, users, resources, and data limits.
- Save the skill and check the fictional example in a new chat.
Example task
A fictional interview asks for AI book discovery at a community library, limited to public catalog data. Draft segments, a first-release choice, and one primary metric.What to check
Distinguish title lookup from interest-led discovery and select one priority journey. Keep the catalog boundary explicit and measure observable discovery success.
Original SKILL.md on GitHub · Updated
Frequently asked question
How do I handle missing competitor data?
Label competitor claims as hypotheses and state what to verify. Build a reviewable first-release proposal using the supplied user and resource constraints.