AI Experience Analytics
Quantum Metric
SF 8.5Real-time experience analytics with Felix AI
Contact sales
AI Experience Analytics
Glassbox
SF 8.4Compliance-grade analytics for digital experiences
Contact sales
Quick decision guide
Choose based on your workflow
Quantum Metric may fit better if...
- Felix AI
- Real-Time Capture
- Impact Quantification
Glassbox may fit better if...
- Session Capture
- AI Detection
- Interaction Maps
Overview
How each tool is described
Quantum Metric
What is Quantum Metric?
Quantum Metric is an enterprise digital analytics platform that captures web and mobile behavior, technical signals, and friction data, then connects session replay, journeys, heatmaps, product analytics, monitoring, and quantified business impact in one system. Its autocapture technology records hundreds of behavioral and technical signals without requiring teams to manually tag every interaction in advance.
- Experience analysis: autocapture records interactions such as clicks, taps, scrolling, rage clicks, errors, and performance signals, while Session Replay and Journeys connect those events to individual customer experiences. Teams can move from a funnel, journey step, or friction indicator directly into supporting session evidence and quantify how broadly an issue affects users or business outcomes.
- AI assistance: Felix Agentic continuously monitors behavioral, technical, and business signals to detect changes, investigate potential causes, surface opportunities, and quantify business impact. Separately, Felix AI Session Summarization condenses an individual replay into a readable account of what happened during that customer experience.
- Implementation checks: buyers should assess the websites and mobile applications being monitored, expected session volume, mobile implementation requirements, privacy and data-masking controls, integrations, and whether add-ons such as Contact Center, Data Enrichment, or data streaming are required.
- Commercial considerations: Quantum Metric uses custom enterprise pricing shaped by annual session volume, the number of monitored digital properties, product add-ons, and professional-services requirements. Session limits are set by contract, and some AI capabilities also have consumption limits that can be expanded when additional capacity is required.
Quantum Metric is particularly relevant to large digital teams that need behavioral evidence, technical diagnostics, journey context, and quantified business impact connected before deciding which experience problems deserve priority.
Glassbox
What is Glassbox?
Glassbox is a digital experience analytics platform that captures web and mobile interactions for session replay, product analytics, journey analysis, technical troubleshooting, and customer experience optimization. Its tagless capture automatically records user interactions and technical events, allowing teams to investigate behavior retrospectively without defining every event in advance.
- Experience analysis: session replay, funnels, interaction maps, segmentation, and journey analytics help teams connect customer behavior with abandonment, conversion changes, usability struggles, and technical errors across websites and mobile apps.
- AI role: Glassbox uses AI and machine learning to detect anomalies and identify user struggles. GIA, the Glassbox Insights Assistant, can locate relevant sessions using natural-language search, summarize individual sessions and reports, and answer follow-up questions through a conversational interface.
- Implementation checks: buyers should assess session volumes, retention requirements, privacy and masking policies, web and mobile coverage, integrations, and infrastructure requirements. Glassbox supports cloud, hybrid, and on-premises deployment options for organizations with different security and data-control needs.
- Commercial considerations: Glassbox packages target production operations, marketing and business teams, and product teams. Pricing is determined primarily by the selected package, data-retention period, and web or app session volume.
Glassbox is particularly relevant when teams need behavioral evidence and technical context together to understand not only where a digital journey failed, but what the user actually experienced before the problem occurred.
Side-by-side
Key differences
Criteria
AI Experience AnalyticsQuantum Metric
AI Experience AnalyticsGlassbox
Best for
AI Experience Analytics
AI Experience Analytics
Score
8.5/10
8.4/10
Pricing
Contact sales
Contact sales
Category / audience
AI Analytics Software › AI Experience Analytics
- experience analytics
- real-time analytics
- Felix AI
AI Analytics Software › AI Experience Analytics
- session replay
- mobile analytics
- digital experience analytics
Feature check
Side-by-side feature check
Feature
Quantum Metric
Glassbox
Felix AISummarizes insights and explains customer friction
-
Real-Time CaptureShows session evidence as issues emerge
-
Impact QuantificationConnects experience problems with business value
-
Journey AnalyticsAnalyzes behavior across important customer touchpoints
-
Technical FrictionSurfaces errors performance and usability issues
-
Team DashboardsShares prioritized issues across business teams
-
12 capabilities compared.12 differentiating rows are shown first.
Use cases
Who they're built for
Quantum Metric
- Quantify revenue impact of frictionPrioritize issues based on measurable business consequences quickly.
- Investigate real-time checkout problems quicklyDetect and review session issues as they happen.
- Support cross-functional digital triage workflowsAlign product engineering and business teams around evidence.
Glassbox
- Investigate regulated customer journey disputesUse complete session evidence to support compliance review.
- Prioritize digital banking experience fixesConnect user struggle with technical and business impact.
- Support insurance onboarding journey analysisReview complex form journeys with replay and context.
The trade-offs
Pros & cons of each tool
Trade-offs
Quantum Metric
Pros
- Revenue impact quantification supports better prioritization decisions
- Felix AI speeds analysis across session data
- Strong fit for cross-functional digital operations teams
Cons
- Enterprise pricing limits smaller team adoption significantly
- Full value requires cross-functional operating discipline internally
- Implementation scope needs careful upfront planning effort
Trade-offs
Glassbox
Pros
- Strong compliance context for regulated digital journeys
- Complete session evidence supports detailed issue investigations
- AI detection helps surface experience friction faster
Cons
- Enterprise setup requires careful stakeholder planning upfront
- Pricing is quote-based and likely premium for teams
- Too heavy for basic heatmap requirements alone
Final verdict
Best fit depends on your workflow
Current catalog data shows meaningful overlap between Quantum Metric and Glassbox. Use the signals below to decide based on workflow, ecosystem, pricing, and implementation fit.
Differentiators available
Quantum Metric has 4 visible decision signals and Glassbox has 4.
Score signal
Quantum Metric has the higher SoftFinders Score in the current catalog data.
Choose Quantum Metric if…
- Quantify revenue impact of friction
- Investigate real-time checkout problems quickly
- Support cross-functional digital triage workflows
- Felix AI
Choose Glassbox if…
- Investigate regulated customer journey disputes
- Prioritize digital banking experience fixes
- Support insurance onboarding journey analysis
- Session Capture
TRY THEM YOURSELF
See which one fits your workflow
Both tools have their strengths, the best way to decide is to spend a few minutes inside each.