A metric that won't move. An onboarding experience nobody adopts. A design system that isn't being used. A product team with too many opinions and no shared direction.
The symptom is real. But where it shows up is rarely where the solution lives.
My work is helping organizations step back far enough to see the whole system: the people, incentives, workflows, decisions, and constraints that shape the experience. Sometimes that means understanding customers. Sometimes it means understanding teams. Most often, it means connecting the two.
Across advertising, banking, loyalty, enterprise software, and AI learning tools, I've helped teams move from one-off fixes to a clearer view of the whole, and from a pile of data to a real sense of what to do next.
I am the only researcher supporting a fast-growing advertising business across both its B2B and B2C product areas. Demand arrived faster than one person could run studies for it, the tooling under a key measurement initiative was discontinued mid-year, and there was no shared standard for how findings were framed.
I did not answer any of that by working more hours. I built the infrastructure that lets a practice absorb more scope than the person running it.
Read how I work →A manual reporting bottleneck became
Reports that meant days of waiting on the data team became something sellers and CSMs pull themselves in minutes. Foundational research done a year before the feature existed became the evidence behind its design, and a mental-model finding changed the data architecture rather than the screens.
A design system adoption problem became
The team thought they needed a better portal. Research showed the real problem was adoption. Three behavioral mindsets explained why job title never predicted who adopted, and the work moved from fixing screens to designing onboarding, contribution, support, and governance around how people actually build.
Twenty-four living rooms became
A spirits portfolio had no formal segmentation and a customer database too small to build one. A longitudinal diary study explained why people buy. A quantitative pass said how many of them there are. Crossing personas with need states turned audience portraits into a targeting brief.
A conversion drop-off became
A lead form was losing people and analytics could not say why. I built the loop: usability evidence became testable hypotheses, experiments validated them in production, and results fed back into what to research next. The rebuilt form lifted lead conversion 6%, and 20% on desktop at 99.98% confidence.
The work I'm most proud of doesn't end with insights. It changes how organizations make decisions.
Better understanding isn't the goal.Better decisions are.