Feature spotlight
Generate personas with realistic memory and behavior
Define demographic and psychographic inputs, then build personas that answer with coherent voice, values, and lived context.
Demographic seed editor
Specify age, location, education, income, occupation, and worldview in natural language.
Timeline memory model
Store life events with facts, feelings, and interpretation for grounded responses.
Consistency safeguards
Detect contradictions and chronology drift before they impact study quality.
Rapid preview prompts
Test persona quality immediately with sample prompts and role-specific scenarios.
Example persona bootstrap payload
{
"name": "Leah",
"seed": {
"age": 37,
"location": "Phoenix, AZ",
"occupation": "Operations Manager"
},
"timeline": [{ "year": 2020, "event": "Switched to hybrid work" }]
}Customer story
How teams use it
A research team built 120 persona variants by segment, then reused them across quarterly pricing and messaging studies.
Faster panel setup
Move from blank slate to ready personas in minutes.
Higher response coherence
Keep persona behavior stable across long-running studies.
Reusable persona libraries
Build once and use across multiple teams and studies.