Design Sprint
A five-day structured process for rapidly prototyping and testing ideas with real users. Developed at Google Ventures, it compresses months of debate into a focused week of mapping, sketching, deciding, prototyping, and testing.
A Design Sprint brings together a cross-functional team to solve a critical business question through design, prototyping, and user testing. By constraining the process to five days, it forces decisions and eliminates the endless cycles of revision that slow product development. Each day has a clear purpose: understand the problem, generate solutions, decide on an approach, build a realistic prototype, and validate with target users.
For AI product teams, design sprints are invaluable for exploring how users interact with intelligent features before committing engineering resources. Day four's prototype can simulate AI behavior using scripted responses or human operators, letting the team observe whether users understand the feature, trust the output, and find it valuable. This saves weeks of model development on concepts that may not resonate. Growth teams use sprint learnings to inform positioning, onboarding flows, and activation metrics for AI-powered capabilities.
Related Terms
Product-Market Fit
The degree to which a product satisfies strong market demand. Achieving product-market fit means customers are actively seeking, using, and recommending your product because it solves a real and pressing problem for them.
Jobs to Be Done
A framework that defines customer needs as functional, emotional, and social jobs people hire products to accomplish. It shifts focus from demographic segments to the underlying progress customers are trying to make in specific circumstances.
Minimum Viable Product
The simplest version of a product that can be released to test a core hypothesis with real users. An MVP delivers just enough functionality to gather validated learning while minimizing development time and cost.
Minimum Lovable Product
An evolution of the MVP concept that emphasizes delivering enough quality and delight that early users genuinely love the product. It balances speed-to-market with the emotional engagement needed to drive organic word-of-mouth growth.
Lean Startup
A methodology for developing businesses and products through validated learning, rapid experimentation, and iterative releases. It emphasizes reducing waste by testing assumptions before building fully-featured solutions.
Build-Measure-Learn
The core feedback loop of the Lean Startup methodology. Teams build a small experiment, measure how users respond with quantitative and qualitative data, then learn whether to iterate, pivot, or scale the approach.