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Platform overview

Learn more about Quantum Metric.

Data

Session replayUnderstand the "why" behind customer behaviors. Segment builderSlice your audience with nested segment building. AutocaptureCapture over 300 metrics out-of-the-box.Page performanceDiscover and quantify the impact of slow pages. User analyticsUnlock better user adoption, retention, and customer journeys.Platform intelligenceOur powerful machine learning engine.Mobile app analyticsPatented mobile analytics technology.Adobe Experience Platform Connector Go live with CJA faster.

Insights

Felix AI AgenticAutonomous agents analyze every part of the customer journey.Felix AI SummarizationGen AI powered session summarization.JourneysUnderstand which paths customers are taking.Interaction heatmapsVisualize page-level clicks, scrolls, and attention.VisibleVisualize user behavior directly from your browser. DashboardsOrganize and monitor your most important data. Dashboard template libraryTemplates to improve your experience. Opportunity analysisAutomatically surface and quantify friction points.

Action

Monitoring & alertsAlerting on aggregate behavior, frustration, and more.Data activationSeamlessly merge any data source.Data streamingSend Quantum Metric insights to your data warehouse.Data enrichmentGet greater impact with enhanced data insights.Salesforce Lightning analyticsGain visibility and understanding of Salesforce Lightning app users.Performance & overheadLightweight SDKs and tags.Security & privacyBest in class security technology and polices.

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Review platform use cases and capabilities at your own pace.

Use Cases

Industries

RetailUnderstand shoppers’ needs faster.Financial servicesDrive digital adoption and improve satisfaction.Travel & hospitalityGrow revenue and loyalty with real-time visibility.TelcoImprove the digital-first experience.GamingUnderstand real-time player behavior.HealthcareImprove patient self-service and loyalty.

Teams

ProductUnderstand any part of the digital experience in seconds.TechnologySurface and scope customer technical friction in real-time.MarketingStrengthen your campaigns and convert more.AnalyticsAnswer the “why” behind the customer experience.CX & VoCBring together qualitative and quantitative insights.UXDeep insight into behavior, engagement, and friction.Service & supportImprove customer empathy and contact center efficiency.

Solutions

Digital analyticsMonitor, diagnose, and optimize critical experiences.Product analyticsUnderstand user behavior and drive adoption.Experience analyticsSurface pain points and quantify opportunities.Journey analyticsInsights into every touchpoint across the digital journey.Web analyticsUnderstand and report on digital performance.Employee experienceAutomatically surface critical friction on your internal apps and kiosks.Contact centerOptimize contact center experiences.AI DetectionReveal how AI agents interact with your digital experience.

Explore dashboard templates.

Gain instant insight into your digital experience with pre-designed dashboard templates.

Gain instant insight into your digital experience with pre-designed dashboard templates.

Skip the setup, start analyzing.

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Resources

Learn

ResourcesReview expert guidance and new data. Case studiesDiscover our customer stories.Product tour libraryReview platform use cases and capabilities at your own pace. Events & webinarsJoin us for live or virtual events. BenchmarksReview the top findings from Quantum Metric aggregated platform data.BlogThought leadership, trends, and product insights.Continuous Product DesignThe approach to building better products faster.

Community

The QuadConnect with experts, converse, and be inspired.

New blog post.

AI assistants vs. agentic AI: Key differences in digital analytics.

AI assistants vs. agentic AI: Key differences in digital analytics.

Learn how understanding the distinction between AI assistants and agentic AI becomes essential for everyone working in digital experience, analytics, or strategy.

Read the blog

Company

About us

Our storyHow Quantum Metric started, our leadership team, and how you can get involved.CareersSee what it's like to work for Quantum Metric, and available positions.NewsRead the latest announcements and news.

Partner network

Partners & integrationsView our technology and solutions partners.Partner programOur key ecosystem of partners.

Latest news.

Quantum Metric Reports Record 2025 Enterprise Expansion and Agentic AI Momentum for 2026

Quantum Metric Reports Record 2025 Enterprise Expansion and Agentic AI Momentum for 2026

Learn more

Qualitative Data

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What is qualitative data?

Qualitative data is non-numerical, descriptive data that captures user experiences, behaviors, and motivations. In digital analytics, it helps explain why something happened by showing what users actually saw, felt, and did.

It provides context behind the numbers, revealing friction, confusion, and intent that quantitative data alone cannot explain.

What are key characteristics?
  • Descriptive: Qualitative data captures words, behaviors, and interactions rather than numbers.
  • Contextual: It explains the experience behind a metric or outcome.
  • Interpretive: It requires analysis to identify patterns, themes, or meaning.
  • Experience-focused: It reflects real user behavior and perception.
What are examples of qualitative data?
  • A session replay showing a user repeatedly clicking a non-interactive element
  • A user saying “I couldn’t figure out where to click” during a usability test
  • Open-ended survey responses explaining a low NPS score
  • Support tickets highlighting recurring confusion
  • Heatmaps showing unexpected user attention patterns
Why does qualitative data matter?

Qualitative data helps teams:

  • Understand user behavior: See how people actually interact with your product or experience.
  • Diagnose issues: Identify the root cause behind drops in conversion or engagement.
  • Build empathy: Understand what users are trying to do and where they struggle.
  • Improve experiences: Make informed decisions based on real user interactions, not assumptions.
When should you use qualitative data?

Qualitative data is most useful when you need to:

  • Understand why something is happening
  • Explore user behavior in detail
  • Diagnose friction or confusion
  • Validate hypotheses about user experience
How do qualitative and quantitative data work together?

Quantitative data identifies where a problem exists and how big it is.Qualitative data explains why it is happening and what to do next.

Together, they give teams a complete view of the digital experience, connecting metrics to real user behavior so teams can move from insight to action faster.


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Platform

Platform overviewFelix AI AgenticFelix AI SummarizationJourneysMobile app analyticsInteraction heatmapsSecurity & privacy

Industries

RetailFinancial servicesTravel & hospitalityTelcoGamingHealthcare

Teams

ProductTechnologyMarketingAnalyticsCX & VoCUXService & support

Solutions

Digital analyticsProduct analyticsExperience analyticsJourney analyticsWeb analyticsEmployee experienceContact centerAI Detection

Resources

Contact usProduct tour libraryPricing plansResourcesCase studies
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