Clone Product

Highlights

• Write a PRD from your idea and notes

  For product managers who need a PRD fast: turn an idea, chat notes, and tickets into a product requirements doc with problem, users, goals, non-goals, requirements, success metrics, and open questions. A local script then checks the draft for missing sections, vague words, metrics without targets, and requirements without acceptance criteria.

  Sample run: the shipped example PRD passes with every section and criterion present

• Write release notes from your shipped tickets

  For product managers who announce what shipped: turn a ticket export or list of changes into customer-facing release notes grouped into New, Improved, and Fixed. A local script sorts each change, drops internal work and duplicates, puts anything customers must act on first, and flags jargon to rewrite in plain words. Never publishes.

  Sample run: groups the shipped ticket export, drops internal work and the duplicate, flags action needed: Changes

• Prioritize feature requests into a roadmap

  For product managers drowning in feature requests: merge the duplicates, score each item with RICE, and get a Now, Next, Later roadmap. A local script reads your CSV export, groups requests that say the same thing in different words, counts who asked, and fits items into your team's capacity, so you can explain every ranking.

  Sample run: merges duplicate requests in the shipped CSV and fills Now within 3 person-months: Roadmap

• Find themes in your user interview notes

  For product managers and researchers with a pile of interview notes: get the themes, best quotes, pains, and opportunities, with how many interviews raised each one. A local script codes every line against a theme list you can edit and counts interviews, pains, and wishes per theme, so the summary rests on counts, not memory.

  Sample run: codes the shipped interviews with the shipped codebook and counts interviews per theme: Synthesis

• Write user stories with acceptance criteria

  For product managers and product owners: break a feature into user stories ("As a ..., I want ..., so that ...") with Given, When, Then acceptance criteria for each. A local script checks every story and scenario, flags vague outcomes, stories that are really two, and big estimates, and writes a CSV you can import into Jira, Linear, or any tracker.

  Sample run: the shipped stories all pass and export to a tracker CSV: Stories check