These Are Not Usability Problems
I reduce uncertainty around product direction by aligning stakeholders through structured exploration, allowing teams to test assumptions before they become costly commitments.
I translate research into clear decision inputs, helping leaders understand what to prioritize, what to delay, and what not to pursue.
I help leadership teams separate symptoms from root causes, ensuring that investment is directed at the right problem before solutions are committed.
Design leadership is not about taste or tools. It is about accountability for decisions that shape customer experience, delivery outcomes, and business performance.
I help shape product direction by embedding experience considerations directly into prioritization, investment decisions, and long-term planning.
I create alignment across product, design, and engineering so teams can move forward with shared assumptions, clear trade-offs, and reduced rework.
I align executive teams around shared customer realities, operating constraints, and explicit priorities so decisions can be made with clarity and accountability.
Where I Take Decision Responsibility
I help organizations make explicit product trade-offs by deciding what to build, what to delay, and what not to pursue.
Problem Value-led roadmap
Impact-based planning
Strategic decision framework
I design and govern experience systems that scale across products, teams, and time without compounding complexity or rework.
Scalable architecture vision
Integrated experience design
Ecosystem optimization
I use customer insight to reduce uncertainty in product and business decisions by grounding strategy in real behavior, constraints, and unmet needs.
User behavior patterns
Market opportunity mapping
Needs-driven research
When stakes are high, progress comes from choosing deliberately, not doing more. These are the trade-offs
Decision-led engagements where experience, delivery, and investment risk were actively managed.
Stabilizing compliance and trust decisions before committing to AI-driven automation at scale.
Defining experience and quality thresholds for AI-assisted decision-making in regulated environments.
Reducing system-level risk by standardizing workflows in a high-complexity monitoring environments.
Balancing trust, access, and risk in financially sensitive, underserved markets.
Research is not about gathering data. It is about reducing uncertainty when decisions are expensive, irreversible, or difficult to unwind.
I rely on behavioral data to validate priorities, test assumptions at scale, and guide portfolio-level investment decisions.
Data-informed strategy
Performance measurement
Design optimization
I use usability testing selectively to confirm experience quality thresholds when release, adoption, or trust is at risk.
Experience validation
Iterative improvement
Design optimization
I use primary research when leadership lacks confidence in what problem is worth solving, ensuring strategy is grounded in real customer constraints before commitments are made.
Customer behavior insights
Qualitative discovery leadership
Design optimization
Empathy-driven innovation
Exploring innovative AI solutions that transform customer service quality and policy compliance
