Template
AI Feature Product Requirements Document (PRD) Template
A streamlined AI Feature PRD Template to help product managers and builders define AI-driven automation features. Use this to map out user needs, LLM logic, and success metrics.
Defining a specific AI-powered feature or automation workflow before handing it over to engineering.
Fill in the brackets to define the 'what' and 'why' of your AI feature. Focus heavily on the 'Edge Cases' section to prevent AI hallucinations (when AI makes up fake info).
The template
PRODUCT REQUIREMENTS DOCUMENT: [Feature Name]
1. OVERVIEW
- Goal: [What is the one main problem this AI feature solves?]
- Target User: [Who is the specific person using this?]
- Success Metric: [How do we know it works? e.g., 20% reduction in manual entry time]
2. USER EXPERIENCE (UX)
- Trigger: [What action starts the AI process? e.g., User clicks 'Summarize']
- Input: [What data does the AI receive? e.g., A 500-word PDF]
- Output: [What does the user see? e.g., A 3-bullet point summary]
- Feedback Loop: [How does the user tell the AI it was wrong? e.g., Thumbs up/down button]
3. AI LOGIC & AUTOMATION
- Model Choice: [e.g., GPT-4o, Claude 3.5, or Custom Model]
- Prompt Strategy: [Briefly describe the persona and instructions given to the AI]
- Data Sources: [Where is the AI getting its knowledge? e.g., User's uploaded files, API data]
- Constraints: [What MUST the AI avoid? e.g., 'Do not use jargon', 'Keep response under 100 words']
4. EDGE CASES & GUARDRAILS
- Hallucination Handling: [What happens if the AI doesn't know the answer? e.g., 'Say I don't know' instead of guessing]
- Error State: [What does the user see if the API fails?]
- Latency: [Maximum acceptable wait time for the response, e.g., < 3 seconds]
5. TECHNICAL REQUIREMENTS
- API Dependencies: [List any third-party tools needed]
- Data Privacy: [How is user data protected? e.g., PII scrubbing before sending to LLM]
- Testing Plan: [How will we verify accuracy? e.g., Testing against 50 gold-standard examples]
6. TIMELINE & MILESTONES
- V1 (MVP): [Date] - [Core functionality only]
- V2 (Optimization): [Date] - [Improved accuracy/speed]
- Launch: [Date]Make it yours
- For internal tools, focus more on the 'Data Sources' section to ensure the AI has the right context.
- If building for a B2B client, add a 'Compliance' section for legal requirements.
- Define 'Gold-Standard Examples' (perfect answers) to help engineers tune the prompt.
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Decoded by anupamdecoded — Decoding AI, Business & Human Behaviour