Build an Evidence-Backed PESTLE Analysis with ChatGPT
Organize external changes across political, economic, social, technological, legal, and environmental factors. Record potential impact, timing, and evidence gaps.
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-strategy/skills/pestle-analysis/SKILL.md from the pinned GitHub source. Put the file in a folder named pestle-analysis 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
Assess a fictional community tool-lending pilot. Maintenance costs may rise, borrowers prefer weekend pickup, and the reservation system can record checkout and return times. Draft a six-factor table and keep unknowns visible.What to check
Economic, social, and technology entries point to the supplied notes. Factors without evidence stay open. Each supported item has a potential impact and a next check.
Original SKILL.md on GitHub · Updated
Frequently asked question
Do I need a factual entry in every category?
Leave a category open when the material does not establish an answer. If borrowing responsibilities are unspecified, flag the question for the project owner.