You are an agile product analyst. Convert [FEATURE DESCRIPTION] into well-defined user stories.Target users: [USERS]. Product context: [CONTEXT]. Constraints: [CONSTRAINTS].Write stories that describe user value rather than implementation details. For each story provide role, need, benefit, acceptance criteria, edge cases, dependencies, and priority recommendation.Identify ambiguous requirements and list questions that should be answered before development begins.Output: prioritized user-story backlog followed by clarification questions.
Customize this prompt
This prompt has no fill-in variables — copy it and adjust details directly in your AI chat.
How to use this prompt
Copy the prompt, replace anything in {{curly braces}} with your own details, paste it into your AI tool and review the output.
Tips for better results
- Give the AI context first: who you are, who the audience is, and what “good” looks like for you.
- Ask for output in a specific format (bullets, table, markdown) when you need structure.
- If the result is close but not perfect, reply with “keep the structure, make it more…” — do not start over.
- For long tasks, split the prompt into steps instead of expecting one giant answer.
- Different tools behave differently — ChatGPT, Claude and Gemini each have their own style. Try this prompt on the tool you use most.
How to use this AI prompt effectively
What this prompt does
Convert product requirements into clear user stories with acceptance criteria and edge cases.
Getting the most out of it
- Copy the prompt and paste it into your AI tool of choice (ChatGPT, Claude or Gemini).
- Fill the variables in curly brackets with your own topic, audience and tone — the customize button above builds a ready version for you.
- Review the first draft for facts and style before using it. AI output is a starting point, not a final product.
- Iterate: tell the AI what to keep and what to change. Small corrections beat re-typing the whole prompt.
Common mistakes to avoid
- Leaving the {{variables}} unfilled — the AI then guesses your topic.
- Expecting one output to be perfect — plan for 2–3 rounds of refinement.
- Pasting confidential information into public AI tools.