Digital Experience Monitoring

Continuously track digital experience across diverse delivery channels on real devices and carrier networks in 100+ locations around the world.

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Extensive Metrics

Measure end-to-end app, network, and device KPIs, including screenless, machine-to-machine, streaming, and custom-defined user journey interactions specific to your app.

Powerful Analytics

Get AI-powered insights and alerts that are easily actionable—ensuring that captured data and intelligence translates into business success.

Get crucial insight into digital health and performance

Fine-grain monitoring: View KPIs by location, devices, OS, app versions, and carrier networks and understand the impact of SDKs, APIs, and CDNs on digital experience.

Intuitive visualizations: Get actionable intelligence via customizable digital experience dashboards and real-time analytics. Easily see correlations across different applications and touchpoints.

Proactive alerts: Be alerted immediately on high priority issues when UX degradation or other irregularity is detected (e.g., an endpoint is down or a transaction’s user flow is broken).

AI-powered insights: Quickly address issues and prioritize fixes using AI-generated issue cards and root cause analysis—and analyze trends for predictive insights on what might break next.

Measure all the KPIs you care about

Extensive app, device, network, and streaming KPIs including experience-specific KPIs for audio, video, biometrics, and more.

Critical user journeys: Track interaction KPIs for custom-defined user flows, such as add to cart, load search results, stream music, and launch video lesson.

Screen transitions: Use state-of-the-art computer vision techniques to quantify blank or low content screens, time to interact, buffering animations, etc.

KPI tracking over time: Monitor KPIs and establish performance baselines on any time scale (day-over-day, week, month, etc.).

App benchmarks: Benchmark the performance of your critical KPIs against your industry peers. Receive automatic alerts if performance degrades or falls behind specific competitors.

Open APIs: Easily export data and insights to business intelligence tools and monitoring dashboards with flexible integrations to REST APIs, webhooks, and BI platform connectors.

Address code-level issues impacting user experience

Code and dependency profiling: Optimize client-side performance by analyzing Analyze call stacks and network traffic flows. Understand the contribution of slow methods, APIs, SDKs, and remote dependencies to transaction response times.

Automated regression testing: Proactively detect build-over-build regressions with automated testing and alerts, and quickly pinpoint code changes causing the degradation.

AI-based issue detection: Speed resolution with detailed issue identification that automatically pinpoints root causes of functional and performance issues.

DevOps, CI/CD integration: Seamlessly integrate with PagerDuty, JIRA, ServiceNow, and other tools.

“[With HeadSpin alerts] we resolved the regressions in ~21 hours, which is far less time than the multiple days it previously took to identify and fix a regression.”

—  Arla Rosenzweig & Lin Wang, 

      Performance Team

Global Device Infrastructure

HeadSpin’s platform is powered by thousands of devices in hundreds of locations on real carrier and WiFi networks around the globe.

Ensuring Digital Success in the Experience Economy

Digital experiences have all but replaced traditional products and services. To stay competitive, the modern enterprise must deliver exceptional digital experiences ubiquitously across numerous delivery channels, services, and markets. Embedding HeadSpin into the software development lifecycle can help businesses monitor digital experience live app and client-side performance, detect build-over-build regressions early, accelerate problem resolution, and launch with confidence in new markets. Wireless carriers can further benefit by monitoring and optimizing the health of their networks and services.

Improve business outcomes with:
Extensive KPIs for Experience Monitoring
UI Metrics

Page Content Score, Total Views, Frame Deadline Missed, Frame Render Time

Device Metrics

CPU Usage, Memory Usage, Battery Temperature, Battery Voltage, Battery Energy Drain, Lat/Long GPS Coordinates

App Responsiveness

App Load Time, Network Calls Made During Test Runtime, Delays During In-App Experiences, Page Content Time Series, App Event Tracking

Full call stack and method response time metrics
Network Protocol Details
HTTPS Request and Response Headers
Connection Establishment Times
DNS Lookup, TCP, TLS, UDP, Reuse, Client-Server Latency per Request, Request Failure Rate
Third Party SDK Metrics
Time to First Byte, Hop Times, Download Times, Throughput, Download Speed, Concurrent Connections
API Server-Side Performance
Connection Establishment Times, Hop Times, Response Times, Error Codes
Domain Metrics
Sharding, Hosts
API Server Metrics
Resolved IP, Connection Reuse, Connection Multiplexing, Content Type, Error Codes
Image CDN Metrics
CDN Edge, CDN to Origin Hop, Connection Multiplexing, Download Times, Image Caching, Image Scaling
RF Metrics
Security Metrics
Unencrypted Traffic


  • Perceptual video quality: Blurriness, Blockiness, Brightness, Colorfulness, Contrast, Mean Opinion Score (MOS)
  • Streaming performance: Video Frame Rate Drops, Loading/Buffering Time Duration
  • Audio: Audio MOS, Microphone Input, Speaker Output
  • WebRTC support—easily access and test bi-directional audio and video on remote devices through a web browser in real-time


  • Real device biometrics testing for fingerprint and face recognition
  • Full suite of biometric instrumentation tools (Library, API endpoints, Web UI functionality, etc.) for automation
Reference-Free and Full Reference Video MOS
Reference-free Subjective Video Quality MOS
Measure the holistic subjective quality of video as it would be rated by a jury of users—only MOS on the market that does not rely on other metrics for results.
  • Patent pending
  • Generated by an AI algorithm trained on our proprietary data set of videos annotated by real users
  • Extracts video spatial and temporal features via a convolutional neural network to return results as the real user would rate them
Full reference MOS
Based on Video Multi-Method Assessment Fusion (VMAF).
Fully integrated into end-to-end testing
Both No Reference & Full Reference MOS can be leveraged by automation frameworks like Appium.
User QoE analysis

MOS time series can be used in conjunction with the full range of HeadSpin video quality metrics to help understand which metrics have the largest impact on the user quality of experience.

“HeadSpin lets us proactively monitor and identify potential issues before the customer even starts to notice things like lag, downtime or degradation in our services. That helps us be better prepared.”

— Mayurkumar Patel, 

     Director of Quality Assurance, 8×8

Better experiences. Better results.

Accelerate development and innovation. Optimize performance and functionality. Ensure digital business success. With the world’s first Digital Experience AI Platform.