
Markus (Yong-Min) Jo
Senior User Experience Researcher, mobile.de
“podojo transformed our approach to customer feedback analysis and helped make evidence-based product strategy decisions”
We build tools and coach your team to work with AI agents in UX research, product operations and product strategy. Together, we build a shared customer knowledge base. AI agents connect new findings with what your team already knows.
Teams we have worked with
Your team uses AI agents to connect research findings and customer feedback in a knowledge hub shaped around your products and terminology. You can compare findings, ask questions and trace answers back to the evidence.
We start with a pilot using your own data. Together, we connect the relevant tools and develop a working solution for a concrete question. We keep refining it as your team uses it. Coaching helps your team adapt and extend the setup with AI agents.
How we work with you
Run unmoderated UX tests, analyze interviews and bring customer feedback into your product decisions.
Develop a practical setup for working with agents as a team. We help you connect shared context, recurring tasks and the tools you use.
Map strategic options, make assumptions explicit and design experiments around the riskiest ones. We work with your team to decide what to pursue next.
It automates the recruiting workflow for 100 interviews a week.
Read the caseProduct teams base decisions on what customers write.
Read the caseThe work gave the leadership team a shared basis for deciding what to explore next.
Read the caseNotes, research and reflections from our client projects and workshops.
How always-on recruiting, combined with podojo's user tests and AI interviews, lets teams scale up user feedback.
Read articleWhat studies of LLM wikis, retrieval and agent memory tested, what we would build for customer research and what we have learned in practice.
Read articleWhat we're learning at Bolt about building an AI user research agent on an LLM wiki, and about making shared knowledge work for a team.
Read articleOn AI in customer research, continuous discovery and the work of keeping shared knowledge useful.
Read articleFrom our workshops