Selected Work
Uncovering Learner Behavior Patterns in AI Coaching Interactions
Directed AI-powered classification of thousands of unstructured learner responses to understand how people engage with an AI dialogue coaching platform. Built classification pipelines using the Anthropic API and Claude to automate insight extraction, developing custom taxonomies and scoring models that mapped behavioral patterns across a five-category framework. Identified six distinct audience segments based on how learners approached skill practice, which informed how the platform framed tasks and delivered feedback. Designed the evaluation methodology from scratch, including golden dataset development, synthetic test data generation, and diagnostic analysis of AI feedback instances that revealed the highest-impact areas for system improvement.
Outcome: 6 AI coaching activities launched meeting 95%+ classification accuracy; error taxonomy integrated directly into system prompts, redirecting engineering investment toward highest-impact improvements; behavioral segmentation adopted as the framework for all future activity development; analysis workflows reduced insight cycles by 50%+; 80% user satisfaction at pilot
AI-Powered Analysis · Unstructured Data · Audience Segmentation · Classification Pipelines · Behavioral Research
Connecting Three Service Siloes That Shared the Same Customer
Synthesized a year of prior research across three business units, interviewed home sellers, and facilitated service blueprinting workshops to map the full seller journey for a digital real estate platform. Delivered current-state and future-state blueprints with a validated five-phase journey framework.
Outcome: 10 service failure points identified; platform repositioned as a trusted resource earlier in the seller journey; cross-sell moments mapped to specific pain points between pathways
Real Estate · Service Design · Enterprise Systems · Journey Mapping
Improving Child Care Access for Eligible Families
Conducted discovery research for a digital platform connecting Detroit families with child care assistance. Led caregiver journey mapping, multilingual listening labs, and provider surveys to understand both sides of the marketplace and identify where the platform could deliver immediate value.
Outcome: Narrowed platform scope from comprehensive tool to focused provider discovery and eligibility screening — the two pain points where families needed the most help
Civic Tech · Discovery Research · Marketplace Design · Accessibility
Building a Coalition with Research & Shared Evidence
Mapped Detroit's collaborative workspace landscape, fielded a 770-person community survey, and developed neighborhood feasibility scoring to help a coalition of seven organizations align on a shared services strategy. Research revealed the client's role needed to shift from brand owner to operational partner.
Outcome: Seven organizations aligned around an evidence-based plan; research package supported a joint $12M funding ask; concept reframed from "coworking" to neighborhood workspace rooted in community needs
Community Development · Multi-Stakeholder Alignment · Strategic Research · Place-Based Design