user-story-generator

Generate user stories for sprint planning by defining epics, personas, and MoSCoW priorities. The output formats stories using the As a... structure and Given/When/Then acceptance criteria, complete with Fibonacci story point estimates and dependency mappings for backlog readiness.

Yes, you can import generated user stories into Jira, Linear, or GitHub Projects. The tool outputs stories, priorities, and estimates in a CSV format specifically structured for seamless import into these project management platforms.

The best way to write backlog-ready user stories from raw ideas is to apply MoSCoW prioritization and Fibonacci estimation. This structures ideas into standard formats with testable acceptance criteria, epic groupings, and dependency mapping for immediate backlog integration.

Yes, the user story generation process includes both story point estimates and dependency mapping. It uses Fibonacci sequence estimation for effort sizing and maps dependencies across epics to ensure comprehensive sprint planning and backlog prioritization.

Acceptance criteria for agile user stories are structured using the Given/When/Then format. This ensures each story has clear, testable conditions that define requirements and validate when the feature is successfully implemented.