What sets me apart from other consultants

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Situation 

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

• Digital health company serving patients with multiple chronic conditions belonging to 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

Approach 

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

Outcome 

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

Situation 

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

Approach 

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

Outcome 

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

Situation 

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

Approach 

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

Outcome 

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

Situation 

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

Approach 

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

Outcome 

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