AI Product workshop
Writing an Eval-Driven AI PRD
Write AI product requirements engineers can test against.
- 1 day
- Hands-on in AI Transformation Studio
- On your own system
The problem
Classic PRDs do not work for probabilistic features: “the answer should be accurate” is not a requirement. This workshop rewrites one of your AI features as an eval-backed PRD.
Who it's for
Product managers and product owners responsible for an AI or GenAI feature.
What to bring
One AI feature in discovery or development.
The course side
What your team learns
- 1
From user job to AI behavior
What the feature must, may, and must never do.
- 2
Acceptance criteria as evals
Test cases and pass thresholds instead of adjectives.
- 3
Guardrail and fallback requirements
Refusals, escalation to humans, and failure UX.
- 4
Launch metrics
Quality, adoption, cost, and risk metrics for go-live and beyond.
Builds on these course lectures
- LLM Hype Playbook
- Case Study #3 – Customer Facing chatbot - Checklist Intent, Context, Guardrails
- GenAI Recommendations
The platform side
What your team builds in AI Transformation Studio
- Capture the feature, its success metrics, and its risks
- Link acceptance evals and guardrail requirements to the roadmap item
- Hand off a delivery-ready plan to engineering
Also used: AI PRD template, Promptfoo
About AI Transformation Studio →Your team leaves with
- • An eval-backed PRD for your feature
- • An initial test set engineers can run
Book this workshop
Request Writing an Eval-Driven AI PRD
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