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Personas are representative profiles of different respondent types in your study. The AI identifies distinct groups within your data and creates detailed descriptions of each.

What Are Personas?

Personas are fictional but data-based profiles that represent real patterns in your research. They help you:
  • Understand different audience segments
  • Put a human face on data
  • Communicate findings to stakeholders
  • Guide product and marketing decisions

How Personas Are Created

The AI creates personas by:
1

Pattern Recognition

Analyzes all responses to identify distinct groups.
2

Clustering

Groups respondents with similar characteristics, attitudes, or behaviors.
3

Profile Building

Creates a representative profile for each group.
4

Detail Addition

Adds specific quotes and characteristics from actual responses.

What’s in a Persona

Profile Overview

Each persona includes:
  • Name: A representative name for the segment
  • Description: Brief summary of who they are
  • Key characteristics: Defining traits or behaviors

Attitudes and Beliefs

  • How they think about the topic
  • What matters to them
  • Their perspective on key issues

Behaviors

  • What they do
  • How they make decisions
  • Usage patterns or habits

Representative Quotes

Actual quotes from respondents in this segment that illustrate their viewpoint.

Relationship to Product/Brand

If applicable:
  • Current usage
  • Satisfaction level
  • Likelihood to purchase/recommend

Example Persona

The Practical Prioritizer “I just need something that works reliably without fuss.” Who they are: Busy professionals focused on efficiency. They value functionality over frills and make quick decisions based on practical benefits. Key attitudes:
  • Time is their most precious resource
  • Skeptical of marketing claims
  • Trust recommendations from peers
Behaviors:
  • Researches quickly, decides faster
  • Willing to pay more for quality
  • Loyal once satisfied
What they want:
  • Simple, reliable products
  • Clear value proposition
  • Good customer support

Using Personas

For Product Development

  • Design features that address persona needs
  • Prioritize development based on target personas
  • Test concepts with persona fit in mind

For Marketing

  • Craft messages that resonate with each persona
  • Choose channels where personas spend time
  • Develop creative that speaks to persona values

For Sales

  • Understand different buyer types
  • Tailor conversations to persona priorities
  • Anticipate objections by persona

For Customer Experience

  • Design experiences for key personas
  • Train teams on persona differences
  • Prioritize improvements by persona impact

Working with Multiple Personas

Comparing Personas

Look at:
  • Key differences between groups
  • Shared characteristics
  • Size of each segment (if indicated)

Prioritizing Personas

Decide which personas to focus on:
  • Which align with business strategy?
  • Which represent the largest opportunity?
  • Which are most underserved currently?

Avoiding Persona Overload

Focus on 3-5 key personas. Too many becomes unwieldy and reduces their usefulness.

Persona Limitations

Remember

  • Personas simplify reality
  • Not everyone fits neatly into one persona
  • They’re based on your sample, not universal truths
  • They’re a tool, not a definitive answer

Use Personas As

  • Conversation starters
  • Decision-making guides
  • Communication tools
  • Hypothesis generators

Don’t Use Personas As

  • The only input for decisions
  • Stereotypes or caricatures
  • Replacement for further research
  • Unchanging truth

Validating Personas

Check Against Data

  • Do personas match patterns you see in raw data?
  • Are the representative quotes truly representative?
  • Does the segment size feel right?

Use Report Chat

Ask questions like:
  • “What evidence supports Persona X’s characteristics?”
  • “How many respondents fit the Practical Prioritizer profile?”
  • “What distinguishes Persona A from Persona B?”

Get Team Input

  • Share personas with colleagues who know the audience
  • Check if personas ring true based on experience
  • Refine understanding through discussion

Sharing Personas

With Stakeholders

  • Provide context on how they were created
  • Explain they’re data-based, not invented
  • Highlight actionable implications

For Reference

  • Create persona cards or sheets
  • Include in project documentation
  • Reference in strategic discussions

Common Questions

The AI typically generates 3-6 personas based on the patterns in your data. More distinct groups = more personas.
Personas are AI interpretations. Use citations to check the underlying data. You can also create your own interpretations.
Editing options depend on your platform. You can always create your own documentation based on the AI output.
Personas are based on attitudes and behaviors, not necessarily recruitment panels. A persona may span multiple panels.

Next Steps