
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.
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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.
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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.