Selected work from Culture Amp
Collating and synthesizing feedback was one of the most time-intensive tasks of writing a performance review
Sarah ChenIdam's user research uncovered the core trust issue with AI summaries. This insight shaped our entire product direction.
Mike TorresOutstanding collaboration across design and engineering. The verification UX is both elegant and technically feasible.
Alex KimIdam ran the most rigorous AI testing process I've seen. Real feedback, real managers, real insights about trust.
Managers struggled to write constructive, actionable feedback
Alex Johnson has made some progress, but it's not really enough. They still have a long way to go. Their performance hasn't improved much, and they haven't met their goals in a meaningful way. They should try to be better next review period.
Designers & PMs did not know where to start with coding agents
Supporting multiple languages required a separate workflow for each language
Valuable context was scattered across Culture Amp's products
Performance reviews, 1-on-1s, Goals, and Surveys each lived in their own silo. To piece together what was happening with your team, you had to hunt across four different tools.
Explorations
Personal products I design and build end-to-end. These projects help me understand technology at a deeper level while exploring entrepreneurial ideas.
Building an AI-powered prototyping tool
A side project exploring how AI agents can help designers and product managers create interactive prototypes through natural language. Type what you want to build, and the system generates working React components in real-time.
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