AI transforms raw research data into actionable personas and journey maps that the whole team can use.

Data-Driven Personas

Instead of assumption-based personas, use AI to:

• Cluster users by behavior patterns from analytics data
• Enrich clusters with interview and survey insights
• Generate detailed persona profiles with goals, frustrations, and motivations
• Validate personas against quantitative usage data
• Update personas automatically as new data arrives

Persona Prompt Example

"Based on these 15 interview transcripts and this analytics data showing 3 distinct user segments, create detailed personas for each segment. Include: demographics, goals, pain points, tech proficiency, preferred channels, a day-in-the-life scenario, and key quotes from interviews."

AI-Assisted Journey Mapping

• Map the end-to-end user experience across touchpoints
• Identify emotional highs and lows from sentiment data
• Highlight moments of friction and opportunity
• Compare journeys across different personas
• Generate improvement hypotheses for each pain point

Jobs-to-Be-Done Analysis

AI helps extract JTBD from research data:

• Identify the functional, emotional, and social jobs users are hiring your product for
• Map competing solutions users currently employ
• Uncover unmet needs and underserved segments
• Prioritize jobs by frequency and importance

Competitive UX Analysis

• AI-assisted heuristic evaluation of competitor products
• Analyze competitor reviews for UX strengths and weaknesses
• Compare feature sets and user experience approaches
• Identify gaps and differentiation opportunities