Verso
An AI research platform helping teams turn conversations into trusted product insights.
I design the product from the ground up.
As Founding Designer, I shape Verso end to end, across mobile and web, from the first interview flow to the platform teams rely on today.
- Product strategy
- UX & interaction design
- Visual design
- Design system
- AI interaction patterns
- Front-end prototyping
One product, two very different audiences.
Participants share their experiences through AI-led interviews. Research teams explore that qualitative research to make product decisions. Designing both experiences as one coherent product is the core challenge.
People taking part in AI-led interviews. The experience has to feel conversational, reassuring and effortless.
Researchers and product teams exploring qualitative insights. Every conclusion has to stay transparent, traceable and easy to validate.
Three principles behind every decision.
The interview should feel like talking to a researcher, not answering a chatbot.
Every insight stays connected to the participant who generated it.
Mobile and web feel like two parts of the same experience, not separate tools.
An AI that interviews like the best researcher.
Less about the prompt, more about what makes a good interview.
People understand how the interview works before answering the first question.
Voice interactions and subtle visual feedback make participants feel heard throughout the conversation.
Every question builds on previous answers instead of following a predefined script.
Progress indicators and reassuring cues reduce uncertainty from beginning to end.
Making research trustworthy.
AI summaries are only valuable if people trust them. Every insight is backed by supporting evidence, so it stays easy to verify where a conclusion comes from. Quotes, audio and video keep real participants present, so research never feels disconnected from the people behind it.
Search becomes conversation.
Instead of manually browsing reports, teams ask questions across one or several studies. Answers stay grounded in the underlying research, with clear sources that make every conclusion easy to verify. The goal is never to replace research, only to make it far easier to explore.
Building faster with AI.
Alongside the product, I build a design system meant to be understood by both designers and LLMs. Rather than static mockups, I prototype directly in production with engineers, which shortens the design-to-code loop dramatically. This workflow is now the foundation for how the team ships.
A platform enterprise teams pay for, trusted on both sides of the product.
Visit askverso.ai ↗Trust is a design problem before it's an AI problem.
Designing AI products isn't about adding AI everywhere. It's about understanding where people need confidence, where they need transparency, and where the interface should simply disappear.