A lot of product and engineering teams say they are user-focused. Far fewer actually organise themselves around user outcomes. That distinction matters more than almost anything else. The strongest product organisations are not obsessed with shipping features, closing tickets, or hitting roadmap milestones. They are obsessed with: whether users are meaningfully better off because of … continue reading
AI systems are increasingly moving beyond summarisation and copilots into something more consequential: decision support. Across regulated industries, and some national infrastructure, organisations are beginning to deploy systems that recommend actions, draft decisions, prioritise cases, assess eligibility, identify risks, or guide frontline staff through operational processes. These systems promise substantial efficiency gains — often the … continue reading
“Forward deployed” started as a term in engineering and consulting. It describes people who work directly with the customer instead of sitting at a distance from the problem. In practice, it means being close enough to see friction as it happens and close enough to fix it quickly. Designers need to be thinking and working … continue reading
For the last few years, AI product design has largely revolved around one thing: the chat interface. Prompt in, response out. But the next wave of AI products is shifting away from “chatbots” toward agentic interfaces — systems that can reason, take action, collaborate with tools, maintain context, and work toward goals over time. The … continue reading
For a long time, product design has been closely associated with visual polish. Spacing, typography, alignment, colour. The details that make something feel “finished.” Tools like Figma became central because they made it easy to refine those details and get to a high level of fidelity quickly. That still matters, but it’s no longer the … continue reading
There’s been a shift in how products get designed, especially in anything that involves AI. For a while, prompts were treated as a means to an end. You wrote something, tweaked it a bit, maybe added an example or two, and tried to get a better output. It felt closer to trial-and-error than design. Useful, … continue reading
Design tooling has fundamentally changed with the latest and greatest vibe-coding tools. It’s now faster than ever to get high quality, high fidelity prototypes up and running. This is a job advert for a product designer role at Ramp – a design-centric SaaS company in the finance space: Own product work end to end: Partner … continue reading
When companies talk about adopting AI, the conversation usually starts in a familiar place: identifying a workflow that could be improved. Customer support. Reporting. Compliance. Internal research. The instinct is to build—or buy—a tool that solves that specific problem. Something concrete, owned, and controlled. It fits neatly into how organisations already think about software: define … continue reading
At some point in every product’s life, a familiar tension emerges: do you keep polishing what you have, or admit that the whole thing needs a deeper rethink? It’s rarely a clean decision. Incremental improvements promise continuity and low risk, but only until they don’t. And starting over can feel liberating in theory, yet terrifying … continue reading
I’ve come across a few really good resources for UX Designers getting into or involved in designing for complex apps and AI-enabled software. Let me know of other great links and I will add them to the list. Number one on my list is the Google People + AI Guidebook (aka PAIR). This is a huge and … continue reading