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Platform overview

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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

Voice of CustomerConnect feedback to behavior and take action in real time.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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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.

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Resources

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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.Digital Analytics FAQGet quick answers to foundational digital and product analytics questions.

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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.

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

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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

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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

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App Forensics

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What is app forensics?

App forensics is the practice of investigating mobile app crashes and performance failures by capturing both the technical background data and the exact user actions that led up to the event. When a mobile app crashes, engineers are usually left with nothing but a raw technical log. App forensics provides the missing piece of the puzzle by showing exactly what the user saw and did immediately before the app failed. This dual layer of context eliminates guessing games, allowing developers to pinpoint the root cause and deploy a fix rapidly.

What are key aspects of app forensics?

  • Preceding user actions: Tracking the final clicks, swipes, page transitions, and text inputs a user made right before the system broke down.
  • Stack trace capture: Recording the detailed, raw technical log generated by the app's code at the exact millisecond of a crash or freeze.
  • Environmental context: Logging the user's specific mobile device, operating system version, network connection strength, and battery level when the failure occurred.
  • Crash reproduction: Re-creating the exact sequence of events required to trigger a bug, which is traditionally the most time-consuming part of mobile development.

What are the benefits of utilizing app forensics?

  • Lower time-to-fix: Developers no longer waste hours trying to replicate elusive mobile bugs because they have the exact blueprints of the failure.
  • Happier mobile users: Finding and patching critical stability issues quickly leads to better app store reviews and higher user retention.
  • Unified tech and product teams: It bridges the gap between customer complaints and engineering logs, giving everyone a shared understanding of a bug.
  • Proactive crash resolution: Engineering teams can find and fix highly disruptive edge-case crashes before they affect the wider user base.

What are examples of how app forensics is practiced?

  • Debugging specific devices: Isolating why a mobile app crashes only for users on a specific Android operating system right when they tap "Submit Payment."
  • Solving memory leak freezes: Combining code performance data with user steps to find out which custom animation is causing the app to freeze after ten minutes of usage.
  • Fixing broken updates: Instantly reviewing the trail of user actions that triggers a crash on a newly launched app version, allowing teams to push a hotfix within hours.

How does Quantum Metric support app forensics?

Quantum Metric delivers powerful app forensics by natively connecting technical failure data directly to human behavior. Through Mobile app analytics, the platform monitors native iOS and Android apps in real time, capturing both the technical stack trace and the environmental data behind every crash without impacting app performance.

To make this data immediately actionable for engineers, Quantum Metric pairs the technical log perfectly with Session Replay. When a mobile app crashes, developers don't just look at a wall of code; they can visually watch the exact user actions leading up to the failure. This seamless combination gives mobile teams the ultimate forensic toolkit to understand the "why" behind any app failure and restore a smooth mobile experience immediately.