H! 👋 I'm Raitis.
Helping teams make better product decisions under uncertainty.
I'm a product design leader partnering with ambitious product teams to reduce uncertainty before they commit months of development – from activation and onboarding to deciding what to build next.
Selected Work
Risk Engineer Notebook
Directed UX for an enterprise iPad system for a Fortune Global 500 insurer used by 1,300+ field engineers, consolidating fragmented risk workflows into a unified platform that reduced reporting time by four days.
View detailsTime Tracker Activation
Led cross-functional growth initiatives for a global time tracking SaaS with 600k active users, aligning 4 product squads around shared activation metrics and shipping targeted experiments that significantly increased team formation conversion by 10%, early retention, and behavior-driven growth loops.
IoT Platform
Defined MVP and interaction model for an enterprise IoT platform, translating complex sensor data and device setup into clear operational workflows and simplified activation across technical and non-technical users.
View detailsWhat can I help with?
Build a high-performing design team 🚀
When your design team is growing faster than its processes, standards, and consistency. Typically, a 3-12 month engagement to set up your team for success in raising the product quality bar with effective and scalable design operations.
- Compressing execution time. Ship product ideas weeks faster by embedding AI to produce wireframes, mockups, prototypes, and visual assets.
- Building design systems. Deliver AI-ready design systems to accelerate design, front-end production, and improve consistency.
- Mentoring designers. Prepare designers for what AI can't do – leading with judgement, insight, and impact. Training on research synthesis, journey mapping, business modelling, and stakeholder alignment.
Improve quality of product decisions 💠
When your team has several reasonable directions, and nobody is confident which one to pursue. Typically, a 1–4 week engagement to help your team decide what to build next when the ambiguity is high. Also provided through Decision Labs, helping leadership teams make difficult product decisions with confidence.
- Framing the decision. Helping your team define which problem is worth solving before committing months of development.
- Reducing uncertainty. Identifying assumptions and gathering evidence to test the decision through customer research and experiments.
- Scaling the system. Embedding AI for decision support and tracking confidence, whilst opening more space for your team for strategic judgement.
Turn research into product direction 🍊
When you have plenty of customer feedback but still don't know what to build next. Typically, a 2-8 week engagement to provide your business with valuable insights on why users behave the way they do, and making a call even when data says one thing and the user research another.
- Identifying patterns. Finding a common thread that ties product strategy, customer insights, and market trends together.
- Translating to stakeholders. Turn insights and patterns into clear and aligned decisions that actually mobilize the team for action.
- Scaling best practices. Establishing high-quality research and discovery practices in your team for efficient, evidence-based insights that keep on informing company's decisions.
Facing an important decision?
Let's spend 30 minutes understanding whether I can help.
Raitis Linde
Over the last 13+ years, I've helped organizations build products in domains where the technology is complex, the stakeholders disagree, and the right answer isn't obvious.
I've found that the hardest part isn't designing interfaces – it's helping teams build a shared understanding of difficult product decisions. The hardest product problems rarely come from a lack of ideas. They come from teams seeing the problem differently. That's the kind of work I enjoy most.
Recently I've become increasingly interested in how AI changes not only products, but also how organizations reason, collaborate and decide.