Case Studies

Research that changed a decision.

Each case study below moves from an open question to a decision — a product shipped, a space redesigned, a recommendation adopted. Research is only useful if it changes something.

Participant interviewsGerontology-informed designIterative, multi-phase research

DART: User Research for Deception Awareness and Resilience Tools

Gerontology-informed research for an NSF-funded suite of scam-resilience tools for older adults

Gerontology-informed user research shaping a suite of scam-resilience tools for older adults — now operated as an independent nonprofit.

Read the case study →
Mixed-methodsCross-stakeholderBuilt environment & program design

Strategic Wellness Plan for a Continuing Care Retirement Community

Cross-stakeholder mixed-methods research informing built-environment and program redesign

Nine evidence-backed priority recommendations for a CCRC's physical space, programming, and outcomes measurement — built from every stakeholder group at once.

Read the case study →
Mixed-methodsTwo-phase (pilot → broader validation)Semi-structured interviews

User Research for a Mobile App Measuring Everyday Function

A two-phase study on adoption and trust in daily cognitive-health monitoring

From a 24-person MVP beta test to a 131-person trust study — research that fed directly back into app design decisions.

Read the case study →
Applied machine learningDeep learning model validationBuilt-environment research

Computer Vision for Scalable Walkability Assessment

Teaching a model to see what a trained human rater sees — at population scale

A validated computer vision alternative to costly manual walkability audits, later applied at national scope through an NIH SBIR award.

Read the case study →
Market segmentationClinical-to-business translationConcept development

Frailty Reversal Concierge — Business Concept

Translating functional-aging science into a segmented, evidence-anchored business model

A concept-stage business built on the reversible window in frailty — and on the same two customer groups that sit at the center of any aging-care marketplace.

Read the case study →