# Behavioral Metrics

Behavioral metrics measure what users actually do while interacting with a product, workflow, or system. These metrics help teams understand:Where users hesitateHow people move through workflowsWhere navigation breaks downWhere users abandon tasksWhat actions create momentumHow people actually behave inside the experienceProduct teams often assume users will follow the path that was designed for them. But real behavior often looks very different. Users may:Repeatedly scan navigationHesitate before clickingSkip important contentAbandon onboarding halfway throughLoop through the same screens multiple timesComplete tasks slowly while feeling unsureThis is why behavioral metrics matter.They help teams understand what users are actually doing inside the workflow, not what teams hoped users would do. Behavioral metrics often reveal friction, hesitation, and confusion that users may never directly describe themselves.Glare Behavioral MetricsIn Glare behavioral metrics are organized into several measurement areas that help teams understand how users move through workflows and systems.These metrics help teams identify:HesitationConfusionNavigation problemsWorkflow frictionEngagement patternsUsability breakdownsTogether, these metrics help teams understand how the experience behaves during real usage.USABILITYEnsures users can easily and quickly use the product to do what they want.FREQUENCYMeasures how often users return to the product or specific features, indicating loyalty and engagement.COMPREHENSIONEnsures users understand the product, how it works, and what it can do for them.SUCCESSEvaluates the rate at which users achieve their goals or complete key tasks within the product.ENGAGEMENTTracks how often and how long users interact with the product, showing their interest and involvement.INTENTTracks the actions that users believe they will take in certain situations.COMPLETIONMeasures how often users successfully finish tasks or reach goals, showing how effective the product is.Behavioral Metrics Help Teams Find Real Growth LeversBehavioral metrics help teams move beyond simple scoreboards and better understand what is actually changing user behavior.For example:Stronger clarity may improve onboarding completionReduced effort may improve engagementClearer navigation may improve discoverabilityFewer workflow steps may reduce abandonmentThe behavior helps explain which parts of the experience are actually helping users move forward. Over time, teams can build behavioral patterns across:OnboardingNavigationAI-assisted workflowsSearch systemsDashboardsEnterprise experiencesThese patterns help teams compare workflows, benchmark improvements, and identify where friction keeps repeating across the product.Why Behavioral MetricsDifferent behavioral metrics reveal different problems. Behavioral metrics often work together to reveal larger workflow patterns.For example:High completion + repeated hesitation may reveal confusionStrong engagement + low discoverability may reveal navigation frictionSuccessful onboarding + weak comprehension may reveal hidden usability problemsThe behavioral signals begin explaining how the workflow actually behaves underneath the surface.Over time, these patterns help teams identify:Confusion trapsFriction wallsNavigation breakdownsWeak onboarding experiencesAI workflow hesitationFeature discoverability problemsThis helps teams understand not just whether users completed the experience, but how they moved through it step by step.Behavioral Metrics Become Stronger Alongside Other MetricsBehavioral metrics become much more valuable when paired with:Attitudinal metricsPerformance metricsUX Metric StacksA single behavioral metric rarely explains the full experience on its own. But when behavioral signals combine with emotional and performance signals, larger patterns begin appearing across workflows and systems.For example:High engagement + low trust may reveal hesitationStrong completion + rising frustration may reveal workflow fatigueRepeated navigation loops + weak confidence may reveal confusionThe combined signals help teams understand both what users are doing and how the experience feels while they are doing it. Over time, these connected patterns help teams compare workflows more clearly, improve onboarding, strengthen usability, and guide product decisions with stronger evidence.Take This Further with the UX Metrics AI SkillsBehavioral metrics show you what users actually do, not just what they say. TheUX Metrics AI Skillsis a package you load into your LLM so you can ask questions and get expert answers anytime.Choose the right behavioral metrics for your featureRead click rates, drop-off, and engagement data togetherSpot the difference between a signal and noiseTurn behavioral patterns into design recommendationsDrop it into your LLM and start asking questions right away.