Quantum Metric

Turn user behavior into prioritized fixes and measurable product gains
4.9 
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When traffic shifts or a release goes live, you need to know exactly where users are getting stuck and what to fix first. Start by opening your KPI dashboard to spot unusual changes in conversion, drop-off, or error rates. Drill into the affected funnel step, segment by device or channel, and jump straight to session replays from that slice. Watch how users navigated, where they clicked, and when frustration signals appeared. Quantify the impact by viewing how many sessions were affected and the revenue or conversions at risk. Create a share link to the replay and funnel view, and hand it to engineering with console and network details attached—no extra screenshots or guesswork.

For ongoing optimization, map the critical journeys you care about—onboarding, search-to-purchase, plan upgrades, or account recovery. Build a report with goal events, then layer in behavior signals like rage clicks or dead taps to surface hidden blockers. Compare performance across app versions, geos, or traffic sources to see where friction is highest. Use heatmaps to validate whether key elements are seen and used as intended. If you ship a UI tweak or copy update, mark the release and monitor path changes, completion times, and micro-conversions. If you use an A/B platform, import variants as attributes so you can replay winning and losing experiences to understand the “why,” not just the numbers. more

Review Summary

Features

  • - Journey analysis with funnels and pathing
  • - Session replay with console and network logs
  • - Behavior signals (rage clicks, dead taps, errors)
  • - Anomaly detection and alerting
  • - Cohort segmentation by device, release, channel, geo
  • - Heatmaps and element engagement
  • - Impact sizing for conversion and revenue
  • - Integrations with A/B testing, analytics, and feedback tools
  • - Saved views, annotations, and shareable links
  • - Privacy controls and data governance

How It’s Used

  • - Reduce checkout abandonment by isolating failing steps and replaying affected sessions
  • - Validate UI changes and copy tests by comparing cohorts and viewing heatmaps
  • - Triage release regressions using alerts, pathing, and technical timelines
  • - Connect NPS/CSAT to behaviors to find root causes of low scores
  • - Accelerate support by jumping from tickets to exact user replays
  • - Prioritize the backlog with quantified impact and expected lift
  • - Improve performance by tracing slow network calls and error spikes
  • - Optimize onboarding completion and time-to-value across segments

Plans & Pricing

Quantum Metric

Custom

Session Replay
Real-time and detailed capture
Experience Alerts
Monitoring for every part of the experience
Mobile App Analytics
Complete mobile app visibility
Journeys
Visualize and act on top customer paths
Page Analytics
Identify promoters & detractors
Performance Monitoring
Quantify the impact of slow pages
Data Capture & Visualization
Autocapture rich experience data without tagging

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4.9
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