Audience Persona Builder
Build personas from real customer data
Analyze user behavior and feedback to identify distinct segments, build rich personas with demographics, goals, pain points, and jobs-to-be-done for each segment, then compile a persona library with comparison matrix and growth prioritization guidance
When
You have user data and feedback but still cannot describe the segments clearly.
Input
User data — signup info, feature usage patterns, support tickets, survey responses, and any available demographics
Output
3-5 customer personas with demographics, goals, pain points, jobs-to-be-done, and product usage patterns
Time
~8-12 min.
Run in c8c
One click to install. Open c8c to run it, or keep browsing the hub for more flows.
Preview
See the flow before you run it.
Make sure the job, inputs, outputs, and runtime fit what you need.
When
You have user data and feedback but still cannot describe the segments clearly.
How
Analyzes user behavior and feedback, identifies distinct segments, creates actionable personas with jobs-to-be-done
Input
User data — signup info, feature usage patterns, support tickets, survey responses, and any available demographics
Output
3-5 customer personas with demographics, goals, pain points, jobs-to-be-done, and product usage patterns
Step by step
- 1Analyze user data to identify natural behavioral clusters by usage patterns, feature adoption, and engagement.
- 2Segment users into 3-5 distinct groups with meaningful behavioral differences.
- 3Build a rich persona for each segment with demographics, goals, pain points, and jobs-to-be-done.
- 4Compile a persona library with comparison matrix and growth prioritization guidance.
Useful for