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Sensemaking: The Power of the Humanities in the Age of the Algorithm
Christian Madsbjerg · 2017
In a sentence
A passionate argument that rigorous engagement with the humanities—what the author calls sensemaking—is the essential, irreplaceable skill for understanding human behavior and making wise decisions in a world dangerously seduced by big data and algorithmic thinking.
In an age that worships STEM, big data, and Silicon Valley's promise that algorithms can explain everything, Christian Madsbjerg makes the urgent case that our fixation on quantification is eroding our ability to understand people, culture, and ourselves. Drawing on twenty years of consulting for the world's largest companies and grounded in twentieth-century philosophy—Heidegger, Husserl, phenomenology, and Peirce's abductive reasoning—Madsbjerg introduces 'sensemaking,' a practice of cultural inquiry rooted in the humanities. Through vivid stories of Ford reinventing luxury cars, George Soros breaking the Bank of England, a poet rebuilding her mind after brain injury, and masters from hostage negotiators to winemakers, the book shows how thick data, immersion in worlds, and analytical empathy generate the insights numbers alone never can. It is both a critique of algorithmic reductionism and a practical guide to cultivating the human intelligence that produces genuine perspective—the one competitive advantage that can never be outsourced.
The four lenses
- Science
- Statistics
- Systems
- Strategy
The model
A causal framework in which humanities-grounded design levers and conditions (cultural engagement, thick data collection, real-world immersion, care) generate psychological and behavioral states (analytical empathy, receptivity/grace, abductive reasoning, connoisseurship) that produce outcomes (cultural insight, perspective, and wise decisions), in contrast to algorithmic reductionism which suppresses them.
Rigorous Humanities Cultural Engagementdesign lever
Sustained, demanding immersion in a culture's seminal texts, art, music, history, languages, and lived practices, as opposed to superficial exposure or market-research abstraction, undertaken to understand shared worlds.
Thick Data Collectiondesign lever
The gathering of contextual, meaningful, narrative data—moods, stories, gestures, sensory detail—that expresses what matters within a culture, in contrast to thin behavioral traces stripped of context.
Real-World Immersion (The Savannah)design lever
Studying human behavior as it occurs in its natural social context at eye level rather than in abstracted, decontextualized settings such as surveys, focus groups, or executive suites.
Care (Sorge)psychological state
A disposition in which something genuinely matters to and is meaningful for the person, enabling them to see meaningful differences and to hold aesthetic judgment; the connective tissue of interpretation.
Algorithmic Reductionism (Silicon Valley State of Mind)contextual condition
A contextual condition and mindset that privileges objective/quantitative knowledge, big data, disruption, and frictionless optimization while devaluing cultural and humanistic knowing.
Analytical Empathypsychological state
A deep, systematic, theory-supported empathy (the third level) that lets a person understand another's worldview and cultural perspective, going beyond everyday empathy to interpret worlds through humanities frameworks.
Receptivity (Grace)psychological state
A state of openness in which one remains unattached to preconceptions and expectations, allowing creative insight to arrive 'through us' rather than being forced 'from us.'
Abductive Reasoningbehavioral pattern
Nonlinear problem solving that begins without a fixed hypothesis, casts a wide net for data, tolerates doubt, and makes educated leaps to the most reasonable explanation, enabling genuinely new ideas.
Connoisseurship and Masterybehavioral pattern
An intuitive, arational, context-dependent expertise (phronesis) acquired through stages of skill development, allowing a person to navigate a body of knowledge and exercise aesthetic judgment.
Cultural Insightoutcome metric
A truthful, contextual understanding of a shared world with explanatory power—revealing what matters to people and why they act as they do—that makes observers say 'that is so true.'
Perspectiveoutcome metric
A finely honed point of view that lets a leader select context, determine what matters, and interpret how data fits together into an expressive portrait—navigating by the North Star.
Wise Decisions and Outcomesoutcome metric
Effective, courageous strategic actions and results—killer market bets, successful reorganizations, resolved negotiations, enduring products—produced by acting on synthesized knowledge with a genuine perspective.
How they connect
- humanities cultural engagement → predicts analytical empathy
- real world immersion → predicts analytical empathy
- thick data collection → predicts abductive reasoning
- humanities cultural engagement → influences receptivity grace
- analytical empathy → predicts cultural insight
- receptivity grace → predicts cultural insight
- abductive reasoning → predicts cultural insight
- cultural insight → predicts perspective
- connoisseurship mastery → predicts perspective
- perspective → predicts wise decisions
- care → moderates perspective
- algorithmic reductionism − moderates real world immersion
- algorithmic reductionism − influences cultural insight
- thick data collection → predicts analytical empathy
The story
The reader A leader, executive, or thoughtful professional who wants to genuinely understand people, culture, and markets in order to make wise, meaningful decisions.
External problem
Data, models, and algorithms fail to explain why people actually do what they do, causing missed targets, failed products, and strategic blindness.
Internal problem
They feel they have lost their intuition—overwhelmed by abstractions, isolated from real life, and anxious about becoming obsolete.
Philosophical problem
It is simply wrong to reduce human beings and culture to quantifiable resources; doing so erodes our humanity and our ability to make sense of the world.
The plan
- Recognize the limits of algorithmic thinking and the Silicon Valley state of mind
- Study culture and shared worlds rather than isolated individuals
- Gather thick data—context, moods, meaning—not just thin behavioral numbers
- Escape the zoo: reframe problems as phenomena and observe human experience in the real world
- Practice analytical empathy and abductive reasoning to remain open until insight arrives as grace
- Cultivate a caring perspective and interpret all forms of data like a connoisseur navigating by the North Star
Success
- You regain your intuition and cultivate a genuine perspective on your world
- You make killer bets on human behavior and see nonlinear shifts before others do
- Your organization innovates around real human experiences and thrives
- You lead with wisdom that can never be outsourced to machines
At stake
- You mistake numerical models for reality and are blindsided by change
- Your insights have no power and your products, campaigns, or policies fail
- You become a reductionist who hits a glass ceiling, isolated from the humanity of those you serve
- Your business, government, or institution erodes its sense of the human world at great cost
Questions this book answers
- Why do numbers and models so often fail to explain human behavior?
- What is sensemaking and how does it differ from algorithmic thinking?
- How do we generate genuine cultural insights instead of decontextualized data points?
- Why do the humanities matter for business, leadership, and civic life?
- What are people for in an age of automation and artificial intelligence?
Glossary
- Rigorous Humanities Cultural Engagement
- Sustained and demanding immersion in the disciplines that explore culture—literature, history, philosophy, art, music, languages, and anthropology—undertaken to understand the shared worlds and background practices of people.
- Thick Data Collection
- The gathering of contextual, meaningful data that expresses what matters within a culture—including moods, stories, gestures, and sensory detail—as opposed to thin behavioral traces stripped of context.
- Real-World Immersion (The Savannah)
- Studying human behavior as it actually occurs in its natural social context, at eye level, rather than in abstracted, decontextualized settings such as surveys, focus groups, laboratories, or executive suites.
- Care (Sorge)
- A disposition in which something genuinely matters to and is meaningful for a person, enabling them to perceive meaningful differences and exercise aesthetic judgment; per Heidegger, the very thing that makes us human.
- Algorithmic Reductionism (Silicon Valley State of Mind)
- A contextual condition and mindset that privileges objective/quantitative knowledge, big data, disruption, and frictionless optimization while devaluing cultural, humanistic, and qualitative ways of knowing.
- Analytical Empathy
- A deep, systematic, theory-supported empathy (the third level) enabling a person to understand another's worldview or cultural perspective by placing data in humanities frameworks, beyond everyday interpersonal empathy.
- Receptivity (Grace)
- A state of openness, unattached to preconceptions and expectations, in which creative insight arrives 'through us' rather than being manufactured 'from us'; described via Heidegger's phainesthai and the 'beginner's mind.'
- Abductive Reasoning
- Nonlinear problem solving (per Peirce) that begins without a fixed hypothesis, casts a wide net for data, tolerates doubt, identifies patterns, and makes an educated leap to the most reasonable explanation—the only reasoning that generates genuinely new ideas.
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