ANNA SALAMONE

Designed a study using novel methodology combining conjoint analysis, budget allocation, and FigJam dogfooding to break a multi-year prioritization stalemate and build executive confidence in UX investment.

Built and ran a rapid research program that gave six under-resourced product teams decisive insights and a reusable model for repeated use.

Led research for a post-merger AI feature set, bridging new stakeholders, unfamiliar tech, and overlooked user needs to make machine learning analytics legible for marketers.

Closed a major competitive gap in a major analytics product by following early generative discovery through usability, early access, and post-launch measurement over three years.