A full-stack playbook for product design.
User pain points, business objectives, and technical limits are mapped through interviews, journey maps, and stakeholder workshops.
Natural-language models cluster interview transcripts in minutes, exposing hidden patterns long before manual affinity mapping would.
Identify what data we have collected, what is needed and how to collect it ethically.
AI has helped with labeling these pipelines, and a consistent feedback loop that feeds the data system while respecting consent.
Lightweight proofs of concept in Figma or ProtoPie validate core flows early, but manually building every state is slow. Generative platforms such as Figma AI, Lovable, and Google Stitch auto-produce polished, multi-variant mock-ups for web, mobile, and desktop, letting teams iterate in hours instead of days.
After launch, new features ship behind feature flags. Behavioral and qualitative metrics feed learning loops that refine models without harming the user experience. AI surfaces insights; rapid A/B tests locate and fix drop-off points.
Prove early and cheaply that AI outperforms simpler methods, verify that the data is reliable, and apply the technology ethically.
Get in touch at
California, USA