Case studies.
A high-level overview of 4 major projects I've tackled in the past few years. Each example illustrates how UX research methods can work together to yield insights that fuel each phase of a project.
Evidence-driven global navigation redesign
Over time, a widely used administrative SaaS platform had grown inconsistent. Users floundered without a unified and usable global navigation. Two things were needed from research: a clear picture of where the current experience was failing, and a reliable way to know whether the redesign options actually fixed it.
An enterprise risk platform from discovery to beta
An opportunity to help organizations evaluate vendor risk seemed promising. Before committing to major features, the team wanted to fine-tune their understanding of this assessment process. Once a concept existed, moving it forward to beta depended on evidence that customers wanted it and could use it.
Designing a comp management system with users
An HR technology company was building a new compensation management application. The team needed confidence that the MVP would solve the right problems in the right way before committing development resources. Post-MVP. they needed additional insights to prioritize the product backlog.
Shaping an AI research assistant through discovery research
A global enterprise company wanted to explore how generative AI could help clients get answers from its large library of expert content. Before the team committed to building more robust features, we needed to understand how clients actually did research today, where they struggled, and what they would expect from an AI tool offered by a trusted research provider. That last part mattered a lot, because the firm's reputation depended on the accuracy of its content.
P.S.
If you're guessing about your users, let’s fix that.
Let's chat. Tell me about the problem you're working on and I’ll tell you what type of insights we can gather to make more meaningful progress.