AI Product Teardown Skill for ChatGPT: Analyze User Jobs, Interaction and Business Assumptions
Write a teardown grounded in observed behavior. Map onboarding, core value, interaction choices, and feedback while labeling business or architecture hypotheses.
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/ai-product-teardown/SKILL.md.
- In ChatGPT, open Plugins, Skills, Create, and Create with editor.
- Write the skill rules using the workflow described here. Provide screenshots, attributable public materials, or documented first-hand use.
- Save the skill and check the fictional example in a new chat.
Example task
A fictional reading assistant accepts the user's own notes and shows source passages in its first answer. Only a free tier is documented. Outline a teardown and two evidence gaps.What to check
Anchor core value in attributable answers and trace upload to first response. Keep model, revenue, and retention claims open with the evidence each needs.
Original SKILL.md on GitHub · Updated
Frequently asked question
Can a screenshot identify the underlying model?
A screenshot supports interface and observable interaction findings. Model, latency mechanisms, and pricing costs need documentation or suitable tests.