Instead of inventing solutions from a blank slate, Nike's innovation team focuses on discovering pre-existing needs within the athlete. The user becomes a "living, breathing brief," meaning ideas are found through exploration, not forced creation, thus eliminating creative blocks.

Asking users for solutions yields incremental ideas like "faster horses." Instead, ask them to tell detailed stories about their workflow. This narrative approach uncovers the true context, pain points, and decision journeys that direct questions miss, leading to breakthrough insights about the actual problem to be solved.

Launching experiments without prior customer interviews or market analysis is a waste of resources. The most effective experiments are designed to answer specific questions that arise from a solid research foundation, not to substitute for it.

Don't just collect feedback from all users equally. Identify and listen closely to the few "visionary users" who intuitively grasp what's next. Their detailed feedback can serve as a powerful validation and even a blueprint for your long-term product strategy.

A common misconception is that user research involves asking customers to design the product. This is wrong. The process is a clear division of labor: customers articulate their problems and pain points. Your team's role is to then use its expertise and resources to devise the best solution.

The old product leadership model was a "rat race" of adding features and specs. The new model prioritizes deep user understanding and data to solve the core problem, even if it results in fewer features on the box.

The core philosophy of innovation—deeply understanding customer problems—remains unchanged by AI. However, modern AI tools dramatically accelerate the pre-development phases. Teams can now use AI to quickly conduct market research, define user segments, and validate hypotheses, reducing weeks of manual 'grunt work' and allowing more time for strategic decision-making and validation.

A design leader's responsibility extends beyond quality and execution to co-owning strategy with product. By leading a generative research function that looks 'around the corner,' design ensures the company builds the right products for the future, not just polishes current ones.

To stop teams from re-inventing the wheel or ignoring valuable existing knowledge, add a mandatory "Prior Art" section to all product briefs. This simple process change forces teams to acknowledge and build upon what other internal teams have already discovered, leveraging collective wisdom.