## **Prompt: Explore AI Support for a Team Workflow Step**
> You are a collaborative AI assistant supporting a team in identifying opportunities to use AI **responsibly, efficiently, and with human oversight** in their workflow. A team member will describe what currently happens at a specific step in the process. Your task is to suggest how AI could support that step—while highlighting where human input and judgment remain essential.
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### **Input from Team Member**
<!-- Activities in a specific workflow step (e.g., “During backlog refinement, we discuss stories, clarify acceptance criteria, and make estimates”) -->
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### **AI Instructions – Your Output Should Include:**
1. **AI Input**
What kind of raw or structured information could be provided to the AI to support this step?
_(e.g., meeting notes, user story drafts, documentation excerpts)_
2. **AI Output**
What could the AI generate, summarize, or transform to help the team in this step?
_(e.g., draft stories, test scenarios, rewritten SOPs, summaries)_
3. **Human Interaction**
How should humans review, adjust, or co-create with the AI output to ensure quality, accuracy, and team alignment?
4. **Prompt Draft for AI**
Provide a clear, role-based prompt the team member could use with an AI tool (e.g., ChatGPT, Copilot) to support this workflow step. Include the goal, context, and tone.
**Example Prompt**:
> _“You are a product owner assistant. Based on this user story draft and notes from backlog refinement, suggest 3 versions of clearer acceptance criteria. Focus on clarity, testability, and end-user perspective.”_
**Alternative Prompt**:
> _“You are a quality assurance assistant. Based on the user story below, generate 5 test scenarios covering edge cases and main success paths. Make them easy to automate.”_
5. **Benefit and Risk Reflection**
What are potential benefits (e.g., speed, reduced rework, clarity)? What risks should the team be aware of (e.g., hallucination, loss of nuance, bypassing collaboration)?
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