CASE STUDY 1: FEATURE PRIORITIZATION
How quantitative tradeoffs, framing artifacts, and cross-team sensemaking were used to identify what actually motivates engagement, and supports foundational needs.
I clarify systems so they serve people.
CASE STUDY 2: SEMANTIC RISK ANALYSIS
How evaluative artifacts, shared language, and cross-team sense-making were used to surface and reduce semantic drift in AI-related work before misalignment hardened into process, metrics, and code.
“I can’t stress enough how critical Holli’s talent and ideas have been to the success of our team.”
“Holli’s insights and methods proved to be invaluable, creating the foundation for outcomes that’ve been driving UX design and roadmap development.”
“Her insights and methods proved to be invaluable, creating the foundation for outcomes that’ve been driving UX design and roadmap development.”