Many founders struggle with articulating their target customer and basic product details, often leading to misalignment
Two key failure modes: not knowing the basics and not testing assumptions
The Foundation Sprint is a 10-hour, highly scripted process for early-stage teams to achieve alignment on product fundamentals
Designed to clarify what is being built, for whom, how it's different, and how to test it quickly with customers
Originated from lessons learned during the development of Google's design sprint methodology
Jake Knapp and John Zeratsky created the Foundation Sprint at Character Capital, iterating from their experience with design sprints at places like Google Ventures
The Foundation Sprint is positioned as a high-ROI activity, often providing months' worth of clarity and alignment in two days
Case studies include Latchet (artisans selling online) and Melo (AI agents for everyday tasks)
Latchet identified “helps you grow” and “cooperative” as key differentiators versus Etsy and Shopify
Melo landed on “mobile first” and “works out of the box” against generalist AI tools
Scorecards and voting help teams honestly assess where they beat or lag behind competitors
The “Approach” Phase: Deciding What to Build 49:45
Teams lay out all possible product approaches that would deliver the differentiated promise
Use “magic lenses”—different perspectives such as customer experience, speed to market, growth, financial health, and team conviction—to assess and compare approaches
Plotting options across lenses highlights trade-offs and helps select both a primary and backup plan
Having explicit alternatives and backup plans enables fast pivots if initial ideas don’t work
Avoiding the Trap of Fast, Generic AI-enabled Prototypes 61:10
Building quickly with AI can tempt teams to skip key thinking steps, leading to generic offerings
Real customer data comes not just from those who try the product but also from those who ignore it—a prototype alone can’t reveal all
Slow down at the start to clarify differentiation and approach before unleashing AI and rapid prototyping
Testing the Hypothesis: Design Sprints & Rapid Learning 77:29
After the Foundation Sprint, teams conduct design sprints: prototype, test with customers, and score learning against the founding hypothesis
Use clear, criteria-based scorecards for each customer test (did the right customer experience the right problem? Does differentiation land? Would they choose this over competitors?)
Rapid cycling allows compressing months of learning into weeks—teams see measurable improvement in “click” with customers after each iteration
Hypotheses are refined each week based on customer feedback, leading towards a differentiated, validated product
The Role and Limits of the Foundation Sprint 67:06
The process isn’t mandatory if the product is already working (“product-market fit trumps process”)
Not all successful companies used this framework—but all successful launches examined had strong, explicit differentiation
The method is relatively new but draws on years of observation of what successful teams did in practice
The Foundation Sprint brings teams closer to both their customers (through repeated, structured testing) and each other (by forcing alignment and open decision-making)
A freely available Miro template allows any team to run their own Foundation Sprint
Further information and applications to Character Labs can be found at character.vc
The underlying goal: take a day or two to clarify what matters, test rigorously, and optimize product-building speed and efficacy for long-term success
Closing Thoughts 100:39
The framework streamlines a daunting, ambiguous phase of startup building into a repeatable, motivating, and high-ROI process
Focus on beginnings yields better teamwork, stronger customer connections, and greater motivation through clarity and progress
Guidance and templates available for anyone who wants to try this approach at home