Turn outcome-based personas into interactive, conversational experiences powered by Knowsis AI — from static insight to practical understanding.
Traditional segmentation answers the wrong questions. Outcome-based personas answer what matters.
Start with a clear outcome: loyalty, resilience, engagement, conversion
Identify what drives movement in that outcome at individual level
Group people by shared outcome mechanics, not demographics
Bring personas to life through conversational interaction
Interact with personas like real people
Explore motivations, constraints, and decision-making processes through natural conversation.
Try different value propositions, tones, and offers to see what resonates with each persona.
Help teams understand lived experiences and trade-offs that shape behaviour.
Map touchpoints and interventions that align with how each persona actually thinks.
Understand what could cause churn, dissatisfaction, or vulnerability for each segment.
Focus resources on interventions that matter most for each behavioural blueprint.
The Persona Engine runs on a locally-hosted open-source large language model. Knowsis AI translates analytically-derived personas into natural language, enabling dialogue and exploration.
Crucially, the AI doesn't generate insights or define segments. All personas are created upstream through rigorous analytical frameworks. The AI layer functions purely as an expression and interaction layer — ensuring conversations remain grounded in evidence rather than invention.
For the Intrum ECPR 2025, we created interactive personas based on outcome-based segmentation of 20,000 European consumers. The Persona Engine allows stakeholders to chat with "Money Manager Types" like the Cautious Saver — exploring their financial attitudes, concerns, and decision-making patterns in real time.
Stop letting segmentation gather dust in PDF decks. Turn your personas into strategic advisors your whole team can engage with.
Build Interactive Personas