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Causal
Intelligence

Decoding the structural mechanics of human choice. Disentangle price from preference, simulate latent consumer variables, and predict decisions with utility theory.

Launch the simulation↗︎

// Biology meets math

The neuroscience of choice

Before an action occurs, it filters through perception, memory, and hidden mental states - biases, priors, and motivation.

The same person chooses differently based on hidden mental state. We can predict and optimize those choices.

Causal models map the pathway from stimulus to decision, quantifying what surveys and focus groups cannot.

Humans make decisions through latent valuation. Causal models do the same - with math.

Structure over pattern

Correlation ≠ Causation

Ice cream sales and shark attacks rise together every summer. The world calls it insight. Causal models call it coincidence. Temperature is the hidden cause.

Causal Intelligence teaches you to see the structure behind the pattern - and build models that predict what happens next.

Interactive simulations covering market dynamics, shopper DNA, and discrete choice experiments.

What you’ll learn

01 ::

Market dynamics

Disentangle price from preference. See how hidden variables create the illusion of correlation.

02 ::

Shopper DNA

Simulate latent consumer variables - price sensitivity, brand loyalty, eco consciousness - and watch decisions change.

03 ::

The causal engine

Trace the pipeline from latent DNA to active choice. Manipulate variables and see probability distributions shift.

04 ::

Discrete choice theory

Predict decisions using utility theory and random utility maximization - the foundation of behavioral economics.

Who this is for

01 ::

Market researchers

Move beyond stated preference to revealed choice modeling.

02 ::

Data scientists

Learn causal inference techniques applicable to any behavioral domain.

03 ::

Product teams

Understand the hidden variables that drive feature adoption and retention.

04 ::

Economists

Apply discrete choice experiments to real-world pricing and policy questions.

05 ::

Students

Interactive introduction to causal AI, DAGs, and behavioral economics.

06 ::

Executives

Build intuition for why customers choose - and how to influence those choices ethically.