🤖 Prompt 2 of 7
User Story Expansion from Thin Acceptance Criteria
Your team writes thin stories and refinement meetings drag because you're building acceptance criteria from scratch each time.
From the article 7 AI Prompts Product Owners Actually Use in Sprints
2
Prompt 2
Copy, fill in the placeholders, paste into ChatGPT or Claude.
Prompt
Expand this user story with detailed acceptance criteria, edge cases, and technical considerations.
Original story:
As a user, I want to export my data so I can use it elsewhere.
Context:
- Our product is [describe your product]
- Users typically export data to [describe typical use]
- Our system handles [describe scale: 100 users, 100K records, etc.]
Provide:
1. 5-7 specific acceptance criteria
2. 3-4 edge cases to test
3. 2-3 technical risks to discuss with engineering Replace before pasting:
[describe your product][describe typical use][describe scale: 100 users, 100K records, etc.] More prompts from this article
- #1 Backlog Item Categorization by Value and Risk
- #3 Competitive Feature Analysis for Backlog Prioritization
- #4 Sprint Review Talking Points from Metrics and Delivery
- #5 Retrospective Insight Generation from Sprint Data
- #6 Stakeholder Update Summarization from Meeting Notes
- #7 User Feedback Trend Analysis for Backlog Decisions