Methodology: My Approach
Approach
I start by understanding the business context: objectives, stakeholders, constraints and challenges, to build a shared vision.
Outcome
A UX and product vision aligned with the roadmap and business priorities.
AI
Rapid synthesis of documents and benchmarks to speed up framing, always validated by me.
Approach
I combine qualitative and quantitative methods to identify friction points and opportunities.
Outcome
Personas, journey maps and flows that give product, design and engineering teams a shared understanding.
AI
Help processing and structuring interview transcripts, with systematic review and verification.
Approach
I organize content, define the architecture, and create user flows, wireframes, mockups and interactive prototypes to test comprehension and journey fluidity.
Outcome
Systematic integration of accessibility, scalability and design system coherence.
AI
Generating screen variations and journey hypotheses to explore faster, which I then refine and test.
Approach
Regular reviews with design and engineering teams to adjust iterations based on usage data.
Outcome
Continuous validation with qualitative and quantitative user tests, stakeholder alignment, and agile adaptation to resolve identified pain points.
AI
Assisted analysis of usage data and test feedback to surface trends that I then verify.
Approach
Clear, actionable deliverables: flows, wireframes, mockups, specs and guidelines.
Outcome
Deployment support, post-launch follow-up, and monitoring of business and user impact.
AI
Help drafting documentation and guidelines, reviewed and adapted to the team.
My use of AI
It helps me synthesize research, explore more design directions and analyze usage data. Every output is verified, tested with real users and checked against business context. The final decision remains human, and so does responsibility for the experience.