This article outlines a foundational approach to structuring AI prompts that can help Product Owners maximize the value of AI in their daily responsibilities—from managing product backlogs to engaging with customer insights.
The Core Elements of a Strong AI Prompt
An effective AI prompt typically includes three essential components—Goal, Role, and Task—with two optional elements—Context and Details—to enhance clarity and specificity. Here’s how to apply this structure:
1. Goal
Define the objective or desired outcome of the prompt. A well-articulated goal ensures the AI delivers relevant, high-impact results.
Example:
Generate user stories that follow the INVEST model. Include acceptance criteria in Gherkin syntax and prioritize them based on business value.
2. Role
Specify the perspective or role the AI should adopt. This enables it to produce responses aligned with the language, expectations, and scope of responsibility of that role.
Example:
Act as an experienced Product Owner guiding the team through breakouts for PI Planning.
3. Task
Clearly state the action you want the AI to take. The task directs the AI’s effort and output.
Example:
Draft a refinement guide in five bullet points, indicating which team roles are responsible for each action.
Enhancing Prompts with Context and Details
4. Context (Optional)
When the AI lacks specific background knowledge, providing context helps tailor the response.
Example:
The team is newly formed and unfamiliar with SAFe and scaled agile frameworks.
5. Details (Optional)
Clarify expectations around format, tone, constraints, or delivery.
Example:
Respond in under 500 words using accessible, non-technical language.
Putting It All Together: A Sample Prompt
Prompt:
Acting as a Product Owner, write six empathy interview questions for medical professionals interested in a voice-enabled AI assistant for capturing patient notes. Keep the interview to 60 minutes.
This example integrates all five elements—establishing a clear goal (generate interview questions), role (Product Owner), task (write questions), context (medical professionals exploring voice AI), and details (60-minute interview duration).
Quick Reference: What Does INVEST Stand For?
To support prompt creation around user stories, remember the INVEST acronym:
Independent
Negotiable
Valuable
Estimable
Small
Testable
Using this framework helps ensure that user stories are well-structured and actionable—ideal for both human teams and AI support.
Final Thoughts
For Product Owners, mastering the basics of prompt design isn’t just about using AI—it’s about using it effectively. By structuring prompts with clarity and intention, POs can drive better outcomes, support agile ceremonies, and empower teams with faster, more relevant insights.