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
Market dynamics
Disentangle price from preference. See how hidden variables create the illusion of correlation.
Shopper DNA
Simulate latent consumer variables - price sensitivity, brand loyalty, eco consciousness - and watch decisions change.
The causal engine
Trace the pipeline from latent DNA to active choice. Manipulate variables and see probability distributions shift.
Discrete choice theory
Predict decisions using utility theory and random utility maximization - the foundation of behavioral economics.
Who this is for
Market researchers
Move beyond stated preference to revealed choice modeling.
Data scientists
Learn causal inference techniques applicable to any behavioral domain.
Product teams
Understand the hidden variables that drive feature adoption and retention.
Economists
Apply discrete choice experiments to real-world pricing and policy questions.
Students
Interactive introduction to causal AI, DAGs, and behavioral economics.
Executives
Build intuition for why customers choose - and how to influence those choices ethically.