
In a world obsessed with algorithms, "Sensemaking" reveals why human intelligence still reigns supreme. Ford's former CEO Mark Fields swears by Madsbjerg's approach - proving that in business, understanding culture trumps big data every time.
Christian Madsbjerg is the internationally bestselling author of Sensemaking: The Power of the Humanities in the Age of the Algorithm and a leading expert in applying philosophy and anthropology to modern business challenges.
A Danish consultant and former professor of applied humanities at The New School in New York City, Madsbjerg co-founded the strategic advisory firm ReD Associates, where he advised Fortune 500 companies using human-centric methodologies. His work bridges rigorous academic frameworks—particularly 20th-century continental philosophy—with practical insights into consumer behavior, organizational strategy, and leadership.
Madsbjerg’s other influential works include The Moment of Clarity (co-authored with Mikkel Rasmussen), which introduced the concept of “thick data” to business audiences, and Look: How to Pay Attention in a Distracted World, which explores observational skills in the digital age. A frequent commentator featured in The Wall Street Journal, Financial Times, and Bloomberg Businessweek, he serves on the boards of architectural firm Bjarke Ingels Group and sustainable mining company The Metals Company. His books have been translated into 15+ languages, establishing him as a vital voice advocating for humanistic approaches in technology-driven industries.
Sensemaking argues for integrating human observation and humanities-based analysis with data-driven decision-making. Madsbjerg challenges overreliance on algorithms, advocating five principles: understanding cultural context, prioritizing thick qualitative data, observing behavior in natural settings, trusting creative insights, and balancing human/technical tools. Examples range from Ford’s customer research to hostage negotiation tactics.
Business leaders, strategists, and professionals in marketing, product development, or organizational design will benefit. It’s particularly relevant for those seeking to counterbalance data-heavy approaches with human-centric frameworks. Madsbjerg draws from his consulting work with companies like Adidas and Chanel, making it practical for corporate innovators.
Thick data refers to nuanced, context-rich insights gained through ethnographic methods like interviews and behavioral observation. Unlike big data’s quantitative metrics, it reveals why people act through cultural/philosophical analysis—exemplified by Ford’s shift to customer experience-focused car design.
Madsbjerg warns that algorithmic overreliance creates blind spots—like misunderstanding cultural shifts or customer emotions. He cites education systems prioritizing STEM over liberal arts, risking workforce imbalance. However, he advocates hybrid models, not outright rejection of analytics.
Phenomenology—studying experiences as they occur naturally—anchors Madsbjerg’s methodology. For businesses, this means observing customers in authentic settings (e.g., retail environments) rather than labs. IKEA famously used this approach to redesign store layouts based on shopper behavior patterns.
Both emphasize human sciences in business, but Sensemaking expands the framework with philosophical rigor and contemporary case studies. While Moment introduced “thick data,” this book codifies systematic practices for applying it.
Some reviewers note Madsbjerg occasionally uses jargon (e.g., “hyper-reflection”), though he clarifies terms thoroughly. Others argue his consulting-focused examples may limit accessibility for non-corporate readers. Despite this, the book maintains a 4.3/5 Amazon rating for its actionable insights.
The book’s warning against AI overreach resonates amid ChatGPT-era debates. Its principles help organizations audit algorithmic decisions for cultural bias—a key issue in healthcare and hiring AI systems. BMW and Pfizer have recently cited the text in ethics training programs.
While Clear and Kahneman focus on individual psychology, Madsbjerg tackles organizational/cultural dynamics. Sensemaking complements these works by providing a macro-level framework for systemic change, making it ideal for team leaders rather than solo readers.
저자의 목소리로 책을 느껴보세요
지식을 흥미롭고 예시가 풍부한 인사이트로 전환
핵심 아이디어를 빠르게 캡처하여 신속하게 학습
재미있고 매력적인 방식으로 책을 즐기세요
Humanity has fallen from grace in our technological era.
Algorithms process vast quantities of data, but only sensemaking provides depth.
Culture over individuals.
Silicon Valley has become a mindset.
Rather than trying to know everything, we work to make sense of something meaningful.
Sensemaking의 핵심 아이디어를 이해하기 쉬운 포인트로 분해하여 혁신적인 팀이 어떻게 창조하고, 협력하고, 성장하는지 이해합니다.
Sensemaking을 빠른 기억 단서로 압축하여 솔직함, 팀워크, 창의적 회복력의 핵심 원칙을 강조합니다.

생생한 스토리텔링을 통해 Sensemaking을 경험하고, 혁신 교훈을 기억에 남고 적용할 수 있는 순간으로 바꿉니다.
무엇이든 물어보고, 목소리를 선택하고, 진정으로 공감되는 인사이트를 함께 만들어보세요.

샌프란시스코에서 컬럼비아 대학교 동문들이 만들었습니다
"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."
"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."
"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."
"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."
"Reading used to feel like a chore. Now it’s just part of my lifestyle."
"Feels effortless compared to reading. I’ve finished 6 books this month already."
"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."
"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."
"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"
"It is great for me to learn something from the book without reading it."
"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."
"Makes me feel smarter every time before going to work"
샌프란시스코에서 컬럼비아 대학교 동문들이 만들었습니다

Sensemaking 요약을 무료 PDF 또는 EPUB으로 받으세요. 인쇄하거나 오프라인에서 언제든 읽을 수 있습니다.
A healthcare executive stares at millions of dollars in market research that tells her nothing about why customers are leaving. A Senate candidate with impeccable policies watches voters emotionally connect with his less-qualified opponent. A solar entrepreneur with superior technology loses to inferior competitors. What's happening? We've become so obsessed with algorithms and big data that we've lost our ability to understand human behavior. The solution isn't more data-it's sensemaking, a return to humanities thinking as an essential practice for understanding the cultural contexts that shape decision-making. Consider Ford CEO Mark Fields, processing information from 199,000 employees while making decisions affecting $150 billion annually. Ford's engineering innovations meant nothing in Chinese cities without lane markings or in New Delhi where having a driver signifies status. When executives expand globally, they say, "I've lost my intuition"-they can no longer rely on instinct about customers whose worlds differ fundamentally from their own. What's needed is the antithesis of algorithmic thinking, grounded in concrete reality rather than abstract numbers.