_About_ # Hi, I’m Javier. I’ve spent more than 25 years designing digital products. My favourite part is still finding out where people get stuck and building something that makes their work easier. Today, AI is part of how I do that, from early exploration through prototyping and delivery. **25+** years designing digital products **100+** UX students mentored at CareerFoundry **3** AI workflows implemented and tested at Sunrise ## Making complex work easier to navigate I’ve designed employee tools, digital services and business applications for teams across countries. Talking to the people doing the work and seeing how they do it helps me decide what to simplify and which steps still matter. _A UX project in 2026_ ## From discovery to delivery I’ve led the redesign of a self-service portal and the design of a loyalty platform for web and mobile. This is how a project like that runs today: six steps, with AI supporting each one and people making the decisions. - 01 ### Frame Agree which problem deserves attention. With people Stakeholder interviews, goals and constraints. AI helps Summarises existing research and surfaces open questions. Output A shared problem statement. - 02 ### Understand See how people really work. With people Customer interviews and observation. AI helps Groups feedback and transcripts; I check it against the source. Output Evidence the team trusts. - 03 ### Decide Turn evidence into priorities. With people Facilitated workshops to agree priorities and what to test. AI helps Drafts options and trade-offs for the team to challenge. Output Hypotheses worth testing. - 04 ### Prototype Make the decision tangible. With people Flows and prototypes built with design-system components. AI helps Agents explore variants and build working prototypes. Output Something users can try. - 05 ### Validate Test before building. With people Usability tests and reviews with business and technology. AI helps Checks component usage, consistency and accessibility. Output Documented decisions, or back to step 4. - 06 ### Deliver Hand over rules, not just screens. With people Work with front-end on tokens, component contracts and accessibility. AI helps Generates React and Storybook packages and structured handovers. Output Reusable rules in production. After launch, feedback feeds the next cycle: the loop my Voice of Customer pilot supports. AI supports the work; people decide. I review every AI output with the team that owns the work. ## How I work with AI today I use agents to explore options, build prototypes and prepare handovers with rules the team can review. At Sunrise I built three things, all implemented and tested with the Design team: ### A design system for designers, developers and agents Repository-based and connected to Figma, with tokens and component contracts. ### A plugin for components and handover Checks design-system usage and prepares structured handovers, React and Storybook packages and JSON for Storyblok. ### A Voice of Customer pilot Agents and automations organise feedback to help Product Owners identify and prioritise problems. The design-to-development workflow was also tested with the app front-end team. Read the case (https://baguelus.com/en/proyectos/design-system-ia/) ## Where I’ve worked - 2022 – today **Sunrise**: Lead AI Product Designer & StrategistZurich - 2019 – 2022 **Allianz Technology**: Global Product DesignerMunich - 2018 – 2019 **European Patent Office**: Senior UX Designer · freelanceMunich - 2017 – 2018 **Brabbler**: UX Design LeadMunich - 2015 – 2017 **Accenture**: Senior UX/UI Lead · freelanceMunich · Madrid - 2013 – 2015 **Acrolinx**: Senior UX Designer · freelanceBerlin - 2005 – 2013 **Earlier roles**: AKQA (Audi) · Fjord (BBVA) · UserZoom · IECISA · Telefónica · Banco SantanderMadrid · London · Munich ## Teaching and building I’ve mentored more than 100 UX students at CareerFoundry and coordinated master’s-level training at IED Madrid. I bring that experience to workshops and mentoring today. I also like starting digital projects and trying ideas that rarely fit into client work. Sometimes I end up with a product, sometimes with a better question. ProductCrafter, a school and community where people practise these ways of working together, is one of them. It opens on 1 January 2027. ## What I bring today ### Product and UX Research, facilitation, product strategy, prototyping, validation and accessibility. ### DesignOps and design systems Tokens, component contracts and handover workflows connecting Figma, agents and front-end. I work with Figma MCP, GitHub, React and Storybook. ### Applied AI for product Agent workflows, automation, tool selection and output evaluation. My toolkit includes Claude Code, Codex, ChatGPT, Cursor, Lovable and n8n. I use Supabase and Hostinger when a prototype needs data or hosting. ### Training and adoption Workshops and mentoring that help design, product and development teams apply these practices to their own projects. See my experience and skills on LinkedIn (https://www.linkedin.com/in/javierbaguelus/) ProductCrafter (https://productcrafter.io/)