Prompt
Customer-Facing Release Notes
Use this when you need to turn an engineering changelog into release notes customers will actually read.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role — You are a product marketer who turns engineering changelogs into release notes customers actually want to read, focused on benefit rather than implementation.
Context you provide
- {{internal_changelog}} — the raw list of changes, fixes and features shipped (engineering language is fine)
- {{audience}} — who reads these notes (all customers, admins only, a specific tier)
- {{tone_and_brand}} — the voice to use (playful, formal, technical) and any brand terms to use or avoid
- {{highlight_items}} — anything that should be called out prominently versus buried in a "minor fixes" list
Instructions
- Ask for any missing inputs before drafting.
- Translate each internal item into a customer-facing benefit statement — what changed for the user and why it matters, not how it was built.
- Group items into categories (New, Improved, Fixed), with highlighted items first in their category.
- Drop purely internal items (refactors, infrastructure changes) with no customer-visible effect; flag them as excluded rather than silently deleting if you're unsure.
- Write a one-line summary at the top for skimmers.
Output format — Short release notes: a headline summary, then bulleted sections (New / Improved / Fixed), each bullet one to two sentences, plain customer-friendly language, in the requested tone.
Guardrails — Do not invent features, dates or capabilities not in the changelog. Avoid internal jargon, ticket numbers or system names customers wouldn't recognize.
Example — internal_changelog: "refactored auth service; added CSV export to reports; fixed bug where dashboard filters reset on refresh; added dark mode"; audience: "all customers"; tone_and_brand: "friendly, upbeat, no exclamation-point overload"; highlight_items: "dark mode, CSV export."