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Platform overviewFelix AI AgenticFelix AI SummarizationJourneysMobile app analyticsInteraction heatmapsSecurity & privacy

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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

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

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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.

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

Alert Fatigue

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What is alert fatigue?

Alert fatigue happens when teams are overwhelmed by a constant stream of minor notifications or low-priority alarms. When monitoring systems trigger warnings for every tiny glitch or routine variation, tech and operations teams eventually become desensitized to the noise. This exhaustion can cause them to miss, ignore, or delay their response to a critical system failure, putting both the user experience and business revenue at risk.

What causes alert fatigue?

  • Overly sensitive monitoring: Setting up tools to trigger high-priority alerts for minor, self-healing system blips or edge-case errors.
  • Lack of prioritization: Treating all notifications with the same level of urgency, whether it is a typo on a page or a total checkout failure.
  • Tool overload: Using multiple disconnected monitoring platforms that all send separate notifications for the exact same underlying issue.
  • Fixed settings: Relying on fixed alert rules that do not account for normal fluctuations in daily user traffic.

What are the consequences of alert fatigue?

  • Missed emergencies: When real, critical system failures occur, they are easily buried under a mountain of low-priority noise and ignored.
  • Slower response times: Desensitized teams take longer to react to notifications, leading to prolonged outages and lost revenue.
  • Employee burnout: Endless interruptions—especially outside of working hours—lower team morale and lead to high turnover among engineers.
  • Wasted engineering time: Developers spend valuable time chasing down false alarms instead of building new features or optimizing the product.

How do organizations prevent alert fatigue?

  • Focusing on user impact: Shifting from technical alerts (e.g., "CPU utilization is high") to symptom-based alerts that directly affect the user (e.g., "Checkout failure rate spiked").
  • Consolidating notification streams: Merging duplicate alerts into a single incident report so teams aren't pinged multiple times for one issue.
  • Regularly auditing alert rules: Reviewing notification logs weekly to delete or turn down rules that consistently generate false alarms.

How does Quantum Metric prevent alert fatigue?

Quantum Metric stops notification overload by replacing generic system warnings with impact-based alerts. The platform uses Autocapture to track real-time behavioral signals alongside technical errors instead of manually building reports or relying on tools that ping engineering for every isolated technical glitch.

Felix AI then automatically works in the background across these customer journeys, ensuring teams only get paged if an issue is actually preventing a significant amount of revenue from being captured or breaking a major customer journey. By connecting notifications directly to business impact, Quantum Metric filters out the noise and protects valuable development time.