Listen
Collect the signals that explain what people are experiencing.
What I do...
Turning fragmented signals into strategic insight
Customer signals were fragmented across channels and difficult to convert into action.
I built listen, respond, and measure loops that routed each signal to the right owner.
Teams could prove which interventions improved retention, completion, and support burden.
Empathy is strategy with better source material. Customer signals become useful when teams can route them, respond to them, and measure whether the response worked.
I am interested in evidence loops, not empathy theater.
I led work that brought help into the workflow so users could complete complex tasks without leaving the product to search for support.
connected education to retention and task completion
treated guidance as part of the product experience, not a side channel
I used behavior data and qualitative feedback to remove avoidable friction from an early customer journey.
improved completion from under 25% to 73.8%
used evidence to identify where clarity mattered most
I separated product gaps, UX friction, support issues, and documentation needs so each signal reached the right owner.
turned fragmented feedback into accountable action
helped teams avoid treating every customer problem as the same kind of problem
I connected feedback collection to interventions and measurable follow-through instead of treating research as a one-time report.
resolved 55 issues from prioritized feedback
made empathy operational rather than performative
Built loops that helped teams prove the impact of contextual guidance and clearer flows, including near 100% retention for engaged users, 55 support issues resolved through targeted interventions, and onboarding completion improving from under 25% to 73.8%.
Collect the signals that explain what people are experiencing.
Turn evidence into targeted experience changes.
Check whether the response actually improved the experience.