
Matt Wallaert's "Start at the End" revolutionizes product design by focusing on behavioral outcomes first. Using his Intervention Design Process - showcased through Apple's iPhone and Flamin' Hot Cheetos success stories - this behavioral scientist reveals why most innovations fail: they forget to ask "what behavior are we changing?"
Matt Wallaert, applied behavioral science pioneer and author of Start at the End: How to Build Products That Create Change, combines academic rigor with real-world execution. A former Microsoft Director of Behavioral Science and Clover Health’s inaugural Chief Behavioral Officer, Wallaert’s work bridges technology and human behavior, focusing on product design that drives measurable behavior change.
His book distills two decades of experience into actionable frameworks for building purpose-driven products, emphasizing strategy, insights, and impact evaluation.
Wallaert’s expertise is showcased through high-profile talks at the United Nations and SXSW, alongside equity-focused projects like GetRaised, which secured $3.6B in salary increases for underpaid women. As CXO at Oceans, he expands global job access, reinforcing his commitment to systemic change.
Known for blending humor and science in initiatives like the MediocreWhiteMen research, his approach democratizes behavioral science for professionals at all levels. Start at the End has become a cornerstone for product teams and executives, praised for its accessible, Ph.D.-free methodology to creating lasting impact.
Start at the End offers a behavioral science-backed framework for designing products and services that drive meaningful behavior change. The book teaches readers to begin by defining specific desired actions ("behavioral outcomes"), then reverse-engineer solutions using strategies like removing barriers, increasing motivation, and leveraging social dynamics. It blends academic theory with real-world examples from Wallaert’s work at Microsoft, Clover Health, and startups.
This book is ideal for product managers, entrepreneurs, and behavioral science enthusiasts seeking actionable methods to influence user behavior. It’s particularly valuable for professionals in tech, healthcare, or social impact sectors aiming to bridge the gap between academic research and practical implementation.
Yes, for its practical, step-by-step approach to behavior change. Readers praise its accessible tone and concrete frameworks, though some note the second half’s case studies feel repetitive. It’s recommended for those new to applied behavioral science, but less groundbreaking for experts.
The IDP (Identify, Design, Prove) framework guides users to:
Wallaert emphasizes iterative testing and avoiding assumptions about user motives.
While both books focus on behavior change, Start at the End prioritizes product design over policy. Wallaert’s approach is more tactical, with structured workflows for corporate teams, whereas Nudge explores broader choice architecture. The books complement each other for theory-to-practice learners.
Examples include:
Critics argue the book’s informal tone occasionally undermines its authority, and its case studies lack depth compared to academic papers. Some behavioral science veterans find the core concepts familiar, though newcomers appreciate the consolidation of ideas.
Drawing on 20+ years as an industry practitioner (Microsoft, startups), Wallaert focuses on scalable, business-driven solutions rather than pure theory. His experience as Chief Behavioral Officer at Clover Health provides healthcare-specific examples rare in behavioral science literature.
A behavioral statement clearly defines who should do what under specific conditions (e.g., "First-time users will complete profile setup within 24 hours of signing up"). These statements anchor product development to measurable actions rather than vague goals.
With AI and personalized tech dominating product design, the book’s human-centered focus on intrinsic motivation (vs. algorithmic manipulation) remains timely. Its ethical framework for behavior change aligns with growing demand for responsible AI.
Yes—its cost-effective research methods (e.g., lightweight surveys, A/B testing) suit resource-constrained teams. The book’s emphasis on "small changes, big impact" is particularly applicable to community-driven initiatives.
These emphasize action-oriented design over self-reported data.
Feel the book through the author's voice
Turn knowledge into engaging, example-rich insights
Capture key ideas in a flash for fast learning
Enjoy the book in a fun and engaging way
Start with the behavior you want to create, then work backward.
Evidence over assumptions.
Love isn't measurable or observable.
Effective behavioral statements should be bold rather than timid.
Rather than directly controlling behavior, we must influence these underlying forces.
Break down key ideas from Start at the End into bite-sized takeaways to understand how innovative teams create, collaborate, and grow.
Distill Start at the End into rapid-fire memory cues that highlight key principles of candor, teamwork, and creative resilience.

Experience Start at the End through vivid storytelling that turns innovation lessons into moments you'll remember and apply.
Ask anything, pick the voice, and co-create insights that truly resonate with you.

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Ever wondered why we know what we should do but fail to follow through? The answer lies in understanding behavior change as a science rather than an art. Instead of starting with solutions, we need to begin with the end in mind - the specific behavior we want to create - and work backward. This approach flips traditional product development upside down by examining actual human behavior before crafting solutions. When Microsoft's Bing team wanted to increase student searches, they discovered teachers' concerns about inappropriate content were the primary barrier, not student motivation. By addressing these specific concerns through a specialized version with locked SafeSearch and no ads, school-based searches increased by 40%. "When [population] wants to [motivation], and they [limitations], they will [behavior] (as measured by [data])." This simple formula creates accountability by forcing clarity about who we're targeting, why they would act, what conditions must exist, what action we want, and how we'll measure success. Consider Microsoft's revolutionary vision: "a computer on every desk running Microsoft software." While groundbreaking, it focused on ownership rather than meaningful usage, leading Microsoft to prioritize sales over user experience. When Google Docs emerged with a usage-focused approach, Microsoft had to pivot dramatically to Office 365. Effective behavioral statements should be bold rather than timid - Uber didn't aim for people to "sometimes" use their service but to make it the default choice for all point-to-point travel.