Why causal intelligence?

The forces you do not see.

What you see: Examples of why forces matter when you want outcomes to materialize.

Why we show it: firms act on what they can see: the score, the ranking, the headline. Real progress comes from acting on the forces they cannot see, the ones that bend the path.

What you learn: measure the pull, not the position, and you know where you are going before you get there.

Causal Intelligence

The causal effect of news, advertising, experience, word of mouth and macro events on reputation and behaviour. Daily, per firm.

What the system shows you

What you see: the Causal Intelligence central dashboard shows how 36 forces affect the outcomes that matter for firm performance. Each individual number in the 4 quadrants shows the causal effect for that factor on the outcome (reputation, buy intention, sentiment). Numbers can be compared, they are relative.

Why we show it: most measurements in market research tells you where you stand. These causal effects show you what is pushing you there, and by how much.

What you learn: which forces to act on, and which to leave alone.

Five live client brands, shown by sector only.
the quarter ahead
now

All forces together explain the score.

Green forces pull the outcome toward the centre, where the scores are higher. Red forces pull it away. The score in the middle is what all of them add up to.

Click a force to ignore it and watch the score respond. Click again to bring it back.

Forces and their sizes are a combination of real measurements, used here to show the principle only.
NOW
n = 746
2025202620272028
Macro
Buy intention
Events impact
Buy intention
The wire
Newest first
    Evaluations and exchange intentions
    Value products
    Activate
    Reputation
    Activate
    Buy intention
    Active
    Channels
    Buy intention
    Beliefs
    Buy intention
    Winsdale Motors and its executives are fictional. The scores, the causal forces and the wire lines are scenario values written for this film, inspired by real data from multiple systems.
    One world
    society: 0 stakeholders · 0 ties

    Everyone talks to everyone.

    Your employees talk to customers. Customers talk to investors. Journalists talk to all of them, through some twenty channels or more. It is one network, and what happens travels fast, good or bad. You need to know now and that there are no walls preventing contagion.

    Marketing, communications, HR and sales each see their own corner of it. Pick a department below: its stakeholders highlight and watch the pulses crossing the boundary soon. An ad, a news story, a layoff never stays in one corner. One world needs one compass that holds all.

    Seen by
    Contagion simulation
    A · inside the firm
    B · outside the firm
    Real timeMarket research since 2013 · Bloomberg like graphs
    AcademicIn-depth surveys dedicated for one client · no omnibus
    CausalSignificant outcomes required for decision making · no rankings
    AutomatedAnalyses and storytelling by ORAC · since 2021
    478Brands live today
    The science

    How events and channels cause changes in behaviour.

    The theoretical model.

    The map of how opinions form. Macro issues, trends, events and channels shape what people believe about you. Beliefs form your reputation and the value of your resources. Those evaluations drive what people do: buy, apply, recommend.

    Without the map, a number moves and nobody knows which link moved it. With the map, every measurement has a place and a route to behaviour.

    Click any cell to see the nine items behind it.

    The foundation

    What moves people.

    And why does it matter?

    Why listen at all.

    What you see: a short black-and-white film on the reason a firm listens to its stakeholders in the first place.

    Why we show it: everything else on this site rests on this. Customers, employees, investors and the public decide what a firm may do and what it is worth.

    What you learn: listening is not a courtesy. It is how a firm finds out what will happen to it next.

    The causal system.

    The causal model.

    The engine that turns daily interviews into causal coefficients: which force moved behaviour, and by how much.

    Correlation shows who changed. Only a cause shows what changed them, and a cause is what you can act on.

    Each respondent who saw an event is matched to a twin who did not; the difference helps estimate the effect. All forces are estimated together, tested with eight controls, re-estimated at every structural break, and only what survives is published.

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