Key Highlights
Motadata ObserveOps RUM session recording captures each session as a complete, queryable record, with an explorer that filters by device, browser, geography, and network to investigate specific experiences.
Capture the full breadth of all user interactions within a session.
Page views, user actions, navigation events, and resource loads captured per session.
Error events, performance signals, and long tasks recorded alongside the interaction sequence.
Session duration, page count, and engagement depth tracked per session record.
Session replay linking performance data with the user actions that preceded each event.
Find the sessions that matter. No need to search undifferentiated data.
Device type, OS, browser, browser version, and screen resolution filtering.
Geographic filtering by country, region, and city for location-specific investigation.
Network condition filtering (4G, WiFi, broadband) for connectivity-related analysis.
Network condition filtering (4G, WiFi, broadband) for connectivity-related analysis.
Saved views preserving filter combinations, search queries, time ranges, and layout settings for reuse.
Understand where users abandon critical journeys and why.
Multi-step funnel definition for checkout flows, onboarding sequences, and conversion paths.
Step-level conversion rate tracking showing where drop-off occurs within each funnel.
Session-level investigation of abandonment events connecting exit behavior to performance conditions.
Comparative funnel analysis of conversion differences between devices, regions, and time periods.
Track how individual user behavior evolves over multiple sessions.
Returning user identification for longitudinal experience analysis.
Cross-session performance comparison of experience quality changes for the same segment.
Retention and engagement pattern analysis connecting experience quality with return behavior.
Cohort-level session analysis for segments defined by onboarding date, account type, or feature usage.
Collect session intelligence while keeping sensitive user data protected.
Automatic masking of password fields, credit card inputs, and sensitive form elements.
Configurable element-level masking rules for application-specific privacy requirements.
PII exclusion policies preventing personal data from entering the session intelligence pipeline.
Compliance-ready data collection design for GDPR, HIPAA, and regional data privacy regulations.
Scale session intelligence collection to match operational requirements and costs.
Configurable session sampling rates balancing coverage with storage and processing costs.
Always-on sampling for sessions with errors, performance degradations, or conversion failures.
Priority sampling for user segments with elevated business or SLA significance.
Volume dashboards tracking session ingestion, sampling rates, and coverage percentages.
Intelligence
Aggregate metrics show average application performance, but satisfaction and conversion problems live in the gap between the average and the individual experience. A 95th percentile page load tolerable in aggregate is the reality of 1 in 20 users, the ones most likely to abandon, least likely to convert, and most likely to leave negative feedback.
Session Intelligence & Journey Tracking makes individual experiences visible and investigable, with each session as a complete record, all metadata dimensions as filters, and any event sequence reconstructable. The user who abandoned checkout after a 12-second load is not a statistic but a session in the explorer with a full event timeline explaining what happened.
How It Works
Instrument pages with the Motadata RUM agent for full session event capture.
Collect page views, user actions, errors, resources, and performance signals per session.
Enrich session records with device, browser, geography, and network metadata at ingestion.
Apply sampling policies and privacy masking rules before session data reaches the store.
Index session data in Motastore for query-time filtering over all metadata dimensions.
Deliver individual session detail and aggregate analysis through the session explorer interface.
Each user, all sessions, any moment, captured with the context to act on it.
Role-Based Value
Connect experience quality to conversion, revenue, and retention using session-level evidence.
Connect experience quality to conversion, revenue, and retention using session-level evidence.
Give product, design, and engineering teams shared session evidence for experience decisions.
Give product, design, and engineering teams shared session evidence for experience decisions.
Investigate performance reports by finding affected sessions in the explorer rather than relying on user descriptions.
Investigate performance reports by finding affected sessions in the explorer rather than relying on user descriptions.
Validate the session-level impact of deployments by examining sessions from users who experienced the application before and after a release.
Validate the session-level impact of deployments by examining sessions from users who experienced the application before and after a release.
From Visibility to Control
40% faster RCA by linking client-side issues with backend traces and session context.
Funnel abandonment detection connecting drop-off behavior with the performance conditions driving it.
Complete session event timelines replacing user-reported descriptions with observable evidence.
Privacy-compliant collection with automatic PII masking and configurable sampling.
Returning user analysis connecting experience quality with retention and engagement outcomes.
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