Customer Personas

We worked with a product-led SaaS company to transform scattered customer research — interviews, surveys, support tickets, and usage data — into living AI personas that their team could query in real time.

The challenge

The product team had years of customer research locked in spreadsheets, Notion docs, and recorded interviews. Synthesizing insights meant hours of manual review, and the personas they had built were static documents that went stale within weeks of creation.

What we built

We built a system that ingests research data from multiple sources, clusters it into distinct persona archetypes, and exposes each persona as a conversational AI agent. Product managers can interview these personas, pressure-test feature ideas, and get instant feedback grounded in real customer data.

Results

• Product decisions backed by synthesized data from 2,000+ customer touchpoints
• Feature validation cycles shortened from weeks to hours
• Personas updated automatically as new research flows in