UX strategy
- Mine: Design lead on the client file, from Beta 1 to release
- Mine: Preference tests and research with our UX researcher
- Shared: Product decisions, with the product manager
I build the design function from the ground up. Five steps, in the same order every time, and each one has a result behind it.
I build the thing and let the outcome create the mandate.
v1 ships now, v2 complexity is documented.
Complexity has to be earned, or it gets cut.
I design for adoption and trust, not compliance.
The sequence I drive to take a system from friction to governed capability.
Find the friction that is costing the organisation, framed in the organisation's own language.
Which problem to solve first.
A shared problem statement.
A standalone first version that delivers now, with the integration complexity mapped for later.
What goes into v1, and what waits.
A working first version.
Measurement that makes the outcome legible to Product, Engineering and Finance.
What counts as success.
A result others can see and check.
Demonstrated value creates permission to scale. I do not wait for the permission first.
Where to scale next.
Demand from other teams.
Ownership, change rules and adoption across teams that never reported to me.
What becomes a shared standard.
Owners and rules that hold.
AI speeds up both ends of the process. And when the product itself is AI, it changes what I design.
I prototype faster, so synthesis is faster. AI speeds up the research loop and concept exploration.
An AI-readable design system helps us deliver faster: we build faster, and the hand over to engineering gets shorter.
The AI-readable design system →How answers show their source, and which tasks are automated and which stay manual on purpose.