Emotion Intelligence Metrics
Complete documentation for the Emotion Intelligence measurement system. Explore 41 metrics across 6 signal categories designed to connect emotional response to business outcomes.
About the Metrics System
The Emotion Intelligence Metrics system provides a comprehensive framework for measuring emotional signals from live experiences and connecting them to real business outcomes. This system enables brands to understand not just what customers do, but how they feel, and how those feelings drive behavior.
With 41 metrics organized across 6 categories, this system provides actionable insights into customer emotions, motivations, behaviors, and outcomes.
Metrics by Category
Primary Metrics
These metrics carry the highest weighting in composite scoring and are critical for proving experiential ROI:
Emotional Signals
9 metricsMotivational Signals
8 metricsInterpretive Signals
8 metricsBehavioral Signals
6 metricsOutcome Signals
6 metricsContextual Signals
4 metricsGlossary of Terms
Key terms and concepts used throughout the Emotion Intelligence Metrics system.
Signal Types
- Primary
- Core signals that are foundational predictors of behavior
- Predictive
- Signals that forecast future behavior or outcomes
- Diagnostic
- Signals that help identify issues or understand current state
- Foundation
- Base signals that enable other metrics but may not be directly predictive
- Barrier
- Negative indicators that reduce conversion or engagement
- Risk
- Critical negative indicators requiring urgent attention
Metric Categories
- Emotional Signals
- Direct measures of emotional state and intensity during experiences
- Motivational Signals
- Indicators of readiness to act, purchase intent, and behavioral motivation
- Interpretive Signals
- Perceptions and interpretations that influence behavior (trust, value, clarity)
- Behavioral Signals
- Observable actions and patterns (dwell time, interactions, completion)
- Outcome Signals
- Business results and measurable outcomes (conversion, retention, lifecycle)
- Contextual Signals
- Environmental and situational factors (location, time, social context)
Key Concepts
- Weighting
- Relative importance of a metric in composite scoring. Weights sum to 1.0 when used in calculations.
- Benchmark Thresholds
- Reference ranges for interpreting metric values (low, medium, high, etc.)
- Data Relations
- How metrics correlate with and influence other metrics in the system
- Integration Points
- Systems and platforms where metric data can be integrated and utilized
- ROI Contribution
- How the metric proves business value and enables return on investment measurement
See these metrics in action
Explore how Emotion Intelligence metrics connect experiential activations to defensible business outcomes.