What Is Decision Intelligence?
Decision Intelligence is the discipline of improving decision quality through better data and analytical frameworks. Cavefish adds the emotional signal layer that conventional Decision Intelligence ignores.
Decision Intelligence is the discipline of improving the quality of decisions through better data, analytical frameworks and structured reasoning. Cavefish adds the emotional signal layer that conventional Decision Intelligence ignores — producing Emotional Decision Intelligence.
The Gap in Conventional Decision Intelligence
Conventional Decision Intelligence frameworks — data analytics, scenario modelling, structured decision-making — treat human response as an implementation variable. They assume that once a good decision is made, the human response to that decision will follow logic.
It does not. Human emotional response is the dominant variable in whether decisions succeed — whether that decision is a transformation programme, an investor communication, a sales interaction or a governance vote. Cavefish measures that variable.
Emotional Decision Intelligence: The Missing Layer
Quantified emotional signal data from 44 facial Action Units
Emotional response prediction before decisions are executed
Decision intelligence that changes outcomes, not just measures them
Frequently Asked Questions
What is decision intelligence?
Decision Intelligence is the discipline of improving the quality of decisions through better data, analytical frameworks and structured reasoning. Cavefish adds the emotional signal layer that conventional Decision Intelligence ignores.
What is Emotional Decision Intelligence?
Emotional Decision Intelligence is the ability to measure and predict how people will emotionally respond to decisions before they are executed — making emotional response a first-class input to the decision-making process.
How does EchoDepth add emotional signal to Decision Intelligence?
EchoDepth analyses 44 facial Action Units under the FACS standard to generate quantified emotional state data. This data becomes the emotional signal layer in a Decision Intelligence framework — adding the human response variable that conventional DI ignores.