requirements-definer

To convert stakeholder conversations into structured user stories and a requirements.json, you can use an interactive elicitation process that guides you through scope validation, story generation, and acceptance criteria creation. This ensures the output is testable and ready for downstream tools.

The MoSCoW method for prioritizing product requirements categorizes features into Must-have, Should-have, Could-have, and Won't-have tiers. This skill applies MoSCoW prioritization to help structure user stories and map them effectively for medium-to-large projects.

Yes, you can generate acceptance criteria automatically from elicited product requirements. The workflow validates project scope and produces a complete, testable requirements dataset that includes specific acceptance criteria for each generated user story.

User-story mapping works for both small and large software projects by adapting the elicitation scope. The system supports Tier 1 small projects and Tier 2 medium-to-large workflows, applying MoSCoW prioritization to handle varying project scales effectively.

The best way to structure a requirements.json dataset for downstream tools is to follow a formal schema that includes user stories, acceptance criteria, and MoSCoW priorities. This guarantees the exported file is standards-compliant and immediately usable.

Your elicited requirements lack testable acceptance criteria if the elicitation process skips formal scope validation and story mapping. Using a guided workflow ensures every user story is paired with specific, testable acceptance criteria before exporting the requirements.json.