Rapid Prototyping for product ideas
Turning ideas and concepts into clickable prototypes for testing with users and presenting to stakeholders.
Turning ideas and concepts into clickable prototypes for testing with users and presenting to stakeholders.
Reviewing existing interfaces for usability, accessibility, and consistency, with documented findings and prioritized recommendations.
Using Large Language Models, code-assisted prototyping, and automation as part of the design process, from research synthesis to iteration.
Planning and conducting interviews, contextual inquiry, and usability studies to understand how products are actually used.
Evaluating products against WCAG and BITV 2.0 standards, with findings documented for design and development handover.
Sharing UX experience through 1:1 mentorship, portfolio reviews, and career guidance for designers early in their path.
My day rate sits in the DACH senior UX bracket. Concrete numbers on request — depends on whether strategy + concept + prototyping are needed as a package, or only one phase. UX audits are offered as fixed-price packages; longer engagements are billed by day rate × estimated effort. First conversation (30 minutes) is free.
When there's an idea on the table but it's unclear whether it should become a dashboard, a table, or a wizard. When teams are stuck arguing about a concept and nobody knows who's right. When a product needs to be investor-ready or hire-ready before staffing up internally. When BITV or accessibility compliance is required and no in-house expertise exists.
UX audit: max. 1 week of analysis + 1 week for findings and concrete recommendations. Prototype: max. 1 week, depending on complexity — a simple idea can land as a clickable prototype in a single day. Full UX strategy for a new product: 4–8 weeks. Longer engagements (3–12 months) for ongoing product development are also possible.
Depending on the engagement and by agreement: clickable Figma prototypes, detailed findings reports with prioritized recommendations, design system components, user flow diagrams, research syntheses. All in formats developers and stakeholders can use directly — no "design wall-art," but material that moves into the roadmap and into code.
AI is used throughout the design process: for research synthesis (clustering interview transcripts), for code-assisted prototyping (HTML/CSS generated directly), for iteration (three variants in the time previously needed for one). Every decision still goes through human judgment. For sensitive company data, a locally-run LLM on my own machine is also an option — so no internal data leaves the client's network.
Yes. I've led multiple engagements in digital identity and government online services — from concept through design review to conformance testing. BITV 2.0 is the legal baseline, EN 301 549 the technical standard. I know the process from years of practice and can anchor accessibility in the design from day one, rather than retrofitting it at the end.
Collaboration: Remote-first, with on-site phases for workshops, kick-offs, and complex stakeholder sessions. Day-to-day via Figma, Slack/Teams, video calls. Contracts: For startups and product teams, directly on a freelance basis. For enterprise clients that require it, via temporary employment contracts (Arbeitnehmerüberlassung, ANÜ) through personnel service providers. NDA & IP: NDAs are standard. All IP from the engagement stays with the client.