I make design part of how product decisions get made.
I lead design in B2B SaaS. I build the team practices and the shared design and engineering system that get ideas tested before they are funded, and built faster once they are. AI is part of that work, in the product and in how my team works.
Four areas. One way of working.
Every roadmap item starts as a hypothesis. These areas let teams test it with an MVP first, so engineering time goes only to what holds up.
Design strategy
Design sits in roadmap planning. Product bets get a design check before money is spent on them.
Earning the redesign →Organisational design
I set up the research practice and new roles, such as a UI Engineer inside UX. The team runs them without me in the room.
A playbook for building a UX function →Systems
Design and engineering run one component system with shared owners. What gets designed is what ships.
Operationalising the design system →AI in the work
AI in the product, where every answer must show its source. AI in the workflow, from the first prototype to a design system that AI tools can read, which I am building now.
Beyond the chatbot →Selected work.
Cases from Nextens. Each one starts with the problem and ends with the decision it led to.
A playbook for building a UX function
The team first, then engineering, then product. Built before I had the lead title.
Beyond the chatbot
Advisers need answers about their own clients. Each user test writes the brief for the next horizon.
Operationalising the design system
A drifting component library becomes one system that design and engineering govern together.
Earning the redesign
Ship the beta as an MVP, then let a preference test decide the redesign.