AI Analysis
Use AI to find relevant sessions, then inspect the evidence before deciding what to change.
Start with the review workflow, use the checklist before prioritizing, or improve the question with prompt examples. Read when not to trust a summary when its conclusion exceeds the evidence.
Monolytics Assistant: your site’s analyst
Ask about your site in everyday language. Monolytics Assistant combines business context, collected activity, inspectable answers, and honest data boundaries.

AI Bug Detection From Session Replay
Learn how AI-assisted session replay review can surface bug candidates from observable user behavior without claiming root-cause certainty.
AI Bug Triage From Session Replay Evidence
Turn AI-surfaced replay bug candidates into better triage notes with visible symptoms, representative sessions, environment context, and confidence labels.
AI Customer Journey Analysis From Session Replay
Use AI-assisted replay review to analyze customer journeys, compare failed and successful paths, and turn visible behavior into safer product decisions.
AI Funnel Analysis With Session Replay
Use AI-assisted session replay analysis to move from funnel drop-off to replay-backed evidence, confidence labels, and the next product action.
AI Session Replay Analysis Checklist
Use this checklist to review AI-surfaced session replay findings before turning them into bug reports, UX fixes, surveys, or tests.

AI Session Replay Analysis Workflow
Use an evidence-first AI session replay analysis workflow to find bugs, UX friction, and conversion blockers without overtrusting AI guesses.

AI UX Issue Detection With Session Replay
Use AI-assisted session replay review to surface UX issue candidates like dead clicks, loops, hesitation, and unclear states while keeping decisions evidence-based.
How to Validate AI-Surfaced UX Issues
Validate AI-surfaced UX issues with representative sessions, successful-session comparison, supporting signals, and a small next action.

Privacy-Safe AI Session Replay Analysis
Use this checklist to review masking, sensitive routes, access, retention, and verification before using AI-assisted session replay analysis.