Design Low-Cost Product Demand Experiments with ChatGPT
Define a testable audience, behavior, and threshold, then propose two or three experiments. Use actions such as signing up, trying the service, or investing time as evidence.
中文Install in ChatGPT
The publisher targets Codex. Try the standalone text instructions in an eligible ChatGPT workspace with skills and uploads enabled. The documented installation path was checked. Workspace runtime verification is pending.
- Download pm-product-discovery/skills/brainstorm-experiments-new/SKILL.md from the pinned GitHub source. Put the file in a folder named brainstorm-experiments-new and keep its filename, name, and description.
- In an eligible ChatGPT workspace with uploads enabled, open Plugins, 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. In a new chat, select the skill with @ and try the fictional example.
Example task
For a fictional shared reading-list product, ask whether at least 5 of 20 book-club organizers will submit a real list. Draft a signup-intent test and a manual trial. Produce a plan only.What to check
The main threshold is 25%. Each experiment has a measurable action and success criterion. Keep signups and actual list submissions as separate signals.
Original SKILL.md on GitHub · Updated
Frequently asked question
Do signups measure actual use?
Signups indicate initial interest. Track whether participants submit a list or complete a first collaboration to see whether they invest time in the task.