Better outcomes, better behavior.

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A sprinkling of social proof…

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Engaging Chronically Disengaged Patients

  • Patients with multiple chronic conditions were ignoring all traditional outreach attempts.

    • Digital health company serving patients with multiple chronic conditions in Medicare, Medicaid, and DSNP populations

    • Target population chronically unresponsive to traditional health plan outreach

    • Low engagement with PCPs and self-care behaviors despite high clinical risk and incurred (or potential for) high cost utilization

  • Built a behavioral playbook that addressed capability and sustained behavior change, not just motivation.

    • Developed evidence-based behavioral playbook grounded in self-efficacy and habit research

    • Designed daily intervention touchpoints combining reminders with capability-building exercises 

    • Created a novel patient-centric approach based on behavioral science that addressed behavioral barriers, not just motivation

    • Worked alongside product, dev, design, and QA teams to implement features aligned with behavioral framework

  • Medication adherence increased 18% and hospital admissions dropped 35% within one year.

    • 18% increase in medication adherence

    • 35% reduction in hospital admissions

    • Results achieved within 12 months

    • Methodology now core to company's product strategy

Patients with multiple chronic conditions were ignoring all traditional outreach attempts. So I developed a strategy and built a behavioral playbook that addressed capability and sustained behavior change, not just motivation.

Medication adherence increased 18% and hospital admissions dropped 35% within one year.

Behavioral Economics in Healthcare Incentives

  • Financial incentive programs were producing initial spikes in engagement but failing to sustain behavior change.

    • Healthcare clients often see suboptimal engagement in their rewards and financial incentive programs

    • Alternatively, initial engagement spikes followed by rapid drop-off

    • Traditional incentive structures failing to produce sustained behavior change among chronic disease and rising-risk populations

  • Applied behavioral economics principles to design incentives that work with human psychology, not against it.

    • Applied behavioral economics principles: loss aversion, hyperbolic discounting, random variable effects, and hedonic rewards

    • Designed incentive timing and structure based on habit formation research across populations with different needs and care plans

    • Created segmented communication  approaches recognizing different behavioral profiles

    • Built measurement framework to track behavior change vs. program adherence

  • Achieved sustained behavior change beyond short-term compliance, with significantly improved cost-effectiveness.

    • Sustained behavior change with low to no financial rewards over time

    • Incentive schemes now grounded in evidence rather than intuition

    • Replicable framework deployed across multiple client populations

    • Cost-per-behavior-change significantly improved vs. previous approaches

Financial incentive programs were producing initial spikes in engagement but failing to sustain behavior change. I applied behavioral economics principles to design incentives that work with human psychology, not against it.

We achieved sustained behavior change beyond short-term compliance, with significantly improved cost-effectiveness as a result of low to no financial rewards over time

AI-Powered Research Operations

  • An early-stage healthcare company was spending too much time gathering research instead of building product.

    • Early-stage healthcare company struggling to monitor rapidly evolving regulatory and industry landscape

    • Team spending excessive time on research synthesis and hypothesizing instead of product development

    • Risk of missing critical competitive or regulatory developments

  • Designed an AI agent system that automates research monitoring while maintaining PhD-level rigor.

    • Designed AI agent system for automated research monitoring and synthesis

    • Built methodological safeguards to maintain research rigor and avoid algorithmic blind spots

    • Created filtering and prioritization framework tailored to company's strategic needs

    • Implemented automated messaging to drop relevant news briefs into email / Slack in real-time to circumvent manual searching

  • Research now runs continuously and automatically, freeing the team to focus on strategy and product decisions.

    • Research monitoring now fully automated and continuous

    • Product team redirected from information gathering to strategic decision-making

    • Critical developments are no longer missed or take time to find and validate

    • System serves as scalable research infrastructure as company grows

An early-stage healthcare company was spending too much time gathering research instead of building product. I designed an AI agent system that automates research monitoring while maintaining PhD-level rigor.

Research now runs continuously and automatically, freeing the team to focus on strategy and product decisions.

Logistics Digital Transformation

  • A global logistics company needed warehouse workers to actually adopt new technology—not just tolerate it.

    • Multinational logistics company undertaking complete warehouse management system overhaul

    • Needed technology adoption across diverse workforce in high-pressure environment

    • Previous digital initiatives had struggled with user adoption and workflow disruption

  • Used ethnographic research to design around how workers actually operate, not how process maps assume they do.

    • Led ethnographic research to understand actual warehouse worker behaviors and cognitive patterns

    • Conducted business analysis to align product specifications with real-world operations

    • Designed user experience accounting for cognitive load, workflow interruption, and frontline constraints

    • Developed implementation strategy prioritizing human factors alongside technical requirements

  • Efficiency increased 20%, achieved best-ever productivity, and 96% of volume now runs through the system.

    • 20% increase in warehouse efficiency

    • Best-ever labor productivity metrics for the organization

    • 96% of volume now processed through automated technology

A global logistics company needed warehouse workers to actually adopt new technology—not just tolerate it. I used ethnographic research to design around how workers actually operate, not how process maps assume they do.

Efficiency increased 20%, we achieved best-ever productivity, and 96% of volume now runs through the system.