Learn to use generative AI as both a drafting partner and a second pair of eyes for requirements work — turning plain-language needs into user stories and acceptance criteria, then critiquing them against INVEST and Gherkin. The emphasis throughout is AI-assisted, human-validated: the AI proposes, you decide.
Watch the free preview
Why turning needs into good user stories is genuinely hard — free to watch, no account needed.
What you'll learn
- Explain why translating needs into good user stories is hard and where INVEST and Gherkin help
- Use generative AI to draft user stories and acceptance criteria from a plain-language need
- Apply a two-step draft-and-critique prompt pattern that tests a story against INVEST
- Diagnose common INVEST failures such as hidden dependencies using an AI critique step
- Build and human-validate an AI Story Draft-and-Critique Prompt Pack for your team
Syllabus
Why Requirements Are Hard, and Where AI Helps
Why turning needs into good user stories is genuinely hardFree preview
User stories, INVEST and acceptance criteria
The Draft-and-Critique Prompt Pattern
Drafting stories with AI, then critiquing them
Sharper critique prompts and testable criteria
Putting AI Critique Into Real IT Work
Fitting draft-and-critique into refinement and planning
Case study — the stories that quietly failed "Independent"
Making It Stick
Building your AI Story Draft-and-Critique Prompt Pack
Traps and anti-patterns of AI-assisted requirements