Persona Development Workshop Using GenAI

This workshop introduces a method for conducting user-centric product development using generative AI. The process involves creating a visual user profile (persona), validating the insights, and turning them into actionable product decisions.

What You'll Need

• Access to generative AI tool

• Participants (subject matter experts and potential users)

• Timer

Pre Workshop

1. Generating Information with AI

   1. Use Gen AI to generate insights for each section;

   2. Add responses to the appropriate sections on the Miro board

   3. Prepare the board: Use grey shapes for initial insights (unvalidated), provide green boxes for participants to add items

   4. Create a color key: Grey (Unvalidated), Green (Valid), Red (Invalid), Yellow (Unsure)

   5. Invite participants and ensure they have editing access

Workshop

1. Validation Workshop

   1. Explain the rules

      1. They will have 30 minutes for each section

      2. Participants will need to validate each insight by changing colors and editing content

   2. Once complete, you will review and discuss as a group and make final adjustments

2. Use dot/star voting to prioritize goals and jobs-to-be-done

   1. Give each participant 5 votes (dots/stars) per section and 10 minutes for each section

   2. Analyze results and identify top 2-3 priorities

Expected Outcomes

1. Validated User Profile:

   1. Verified roles, responsibilities, goals, and jobs-to-be-done

2. Prioritized Insights:

   1. Top 2-3 goals and jobs-to-be-done

3. Product Direction:

   1. Top 3 use cases and initial feature ideas

4. Research Foundation:

   1. Areas for further investigation and follow-up

5. Team Alignment:

   1. Shared understanding of user needs and priorities

6. Development Materials:

   1. Insights for roadmap, user stories, and journey mapping

7. Stakeholder Communication:

   1. Evidence-based justification and visual artifacts

Remember: This is an iterative process. Continually refine and adjust your strategy based on new data and validated assumptions.