selected work

Challenge
How do you innovate your product without burning budget on features nobody wants? Product teams face a recurring dilemma: they need validated direction to de-risk investment decisions, but traditional requirements processes deliver slide decks full of assumptions rather than build-ready solutions. The cost of building the wrong thing is high—both in resources and opportunity.
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Approach + Methodology
To address this, I co-developed a four-week exploration sprint that bridges the gap between vision and validated execution. The methodology combines human-centric discovery with rapid prototyping to validate requirements before development begins. All that in a multi-discipline team.
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‍Outcomes and Impact
This methodology has been successfully deployed across multiple client projects, delivering:
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Reduced development risk—Testing before building eliminates costly pivots later
Smarter investment decisions—Validated insights replace guesswork, protecting budget
Faster time-to-market—Build-ready backlogs accelerate handoff to development
Stakeholder alignment—Shared understanding across product, design, and engineering
User-centered outcomes—Features that truly meet user needs, fostering brand loyalty

Rather than delivering another vision deck, teams walk away with de-risked, validated solutions ready for integration into their product roadmap. No assumptions, but direction that protects investment and accelerates value.

Challenge
AI fundamentally transforms how we design and build digital products—yet most design organizations struggle to move beyond experimentation to systematic integration. The challenge: establish practical workflows that leverage AI capabilities while maintaining design quality, enable cross-functional collaboration, and accelerate product development without compromising human-centered principles.
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‍Approach and Methodology
I initiated and led an AI integration practice exploring GenAI applications across the product development lifecycle. Key initiatives included:

Fast Product – Accelerated product exploration using AI-tools (Figma Make, v0) to rapidly validate concepts through functional prototypes, compressing weeks of work into days.

Spec-Driven Development – New cross-functional workflow where design delivers product vision, problem statements, personas, and UI components as specifications, enabling autonomous team execution while maintaining strategic alignment.

Future Experience Integration – Designed and prototyped conversational AI assistants and AI-powered automated marketing asset production systems, exploring how Agentic AI becomes part of the product experience itself.

My role
Led exploration, established workflows, and coached teams on AI-tool integration across design and requirements engineering processes.
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Outcomes and Impact
—Reduced concept-to-prototype cycles from weeks to days
—Established repeatable AI-enhanced workflows adopted across teams
—Demonstrated viable paths for AI integration in experience design practice
—Created foundation for ongoing AI capability building.

Challenge
Employee experience on enterprise platforms like ServiceNow is critically underserved—costing organizations thousands of productivity hours annually and high amount of rework effort. This was an area where our human-centered design methodology could create substantial client value.
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My Role and Approach
‍I initiated and drove an internal initiative establishing employee experience design as strategic capability. The approach: build a Community of Practice uniting designers and platform experts for knowledge sharing and collaborative project setup.
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We adapted our established HCD methodology for EX contexts, deploying targeted approaches across seven core capabilities—UX research, requirements analysis, prototyping, content structure, accessibility, UI design, and design systems—based on project needs. Philosophy: start with OOTB-platform solutions, customize where data proves necessity.
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‍Outcomes and Impact
‍Successfully established EX as viable practice area, generating client engagements across retail, agritech, finance, and manufacturing for employee centers, IT support, buying platforms, and AI solutions. Opened new revenue stream addressing underserved market