Monolytics Assistant AI-assisted session replay analysis

Turn product questions into replay-backed findings your team can verify.

Surface relevant sessions for bugs, UX friction, and conversion-blocker investigations. Then inspect representative replays before prioritizing a fix.

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Free plan includes up to 25,000 sessions per month

Monolytics session search workspace

Product walkthrough

Start with a question. End with sessions you can inspect.

Monolytics Assistant narrows a broad replay archive into a focused investigation path. The result is not a verdict: it is a set of relevant sessions and observable patterns for your team to review.

Example input

“Show sessions where users abandoned checkout after adding items to cart.”

Review output

A relevant session set, repeated behavior candidates, and recordings to open before deciding whether the issue is product friction, instrumentation, or an outlier.

Monolytics workspace with a natural-language session question, relevant sessions, and insight categories
Product view showing natural-language session search and the replay list available for verification.

Supported investigations

Ask about behavior the replay evidence can actually show.

Focused questions tied to a page, event, journey, or outcome produce a review path your team can validate. Questions about exact motive should become targeted follow-up research instead.

Checkout

“Where do users abandon after adding an item?”

Review the last completed action, visible errors, loops, and missing feedback before abandonment.

Onboarding

“How do stalled journeys differ from completed ones?”

Compare representative failed and successful sessions from the same activation path.

UX friction

“Which sessions show repeated dead clicks or validation loops?”

Look for repeated observable symptoms, then open the replay around the affected control.

Pricing and signup

“What happens before high-intent users leave?”

Inspect navigation, field interaction, error states, and successful comparison sessions without guessing motive.

Evidence-first workflow

Keep the AI-assisted review grounded in representative replays.

  1. 01

    Define the product question.

    Name the flow, outcome, segment, page, or event that makes a session relevant.

  2. 02

    Surface relevant sessions.

    Use natural-language search to narrow the replay set around the behavior you want to investigate.

  3. 03

    Verify the repeated pattern.

    Open representative recordings, confirm the visible symptom, and compare failed and successful paths.

  4. 04

    Choose the next action.

    Fix, add instrumentation, ask a targeted question, or keep monitoring when evidence is still incomplete.

Question-led automatic analysis

AI-assisted replay narrowing, not an autonomous always-on analyst.

Monolytics Assistant works when your team asks about a defined flow, page, event, segment, or outcome. It narrows recorded sessions for review; it does not continuously monitor every product path or independently decide what to fix.

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What the Assistant does

  • Uses the product question to focus the replay set.
  • Surfaces observable patterns and recordings to inspect.
  • Supports a repeatable evidence-review path.

What remains with your team

  • Confirm that representative sessions support the finding.
  • Check competing explanations and supporting signals.
  • Choose whether to fix, instrument, survey, or monitor.

Verification and limits

Use the Assistant to focus review, not to replace product judgment.

Replay evidence is strong at showing visible behavior and context. It is weaker at explaining motive, proving causality, or predicting the business impact of a change.

What it can help with

  • Surface sessions connected to a product question.
  • Point to repeated, observable behavior candidates.
  • Organize a replay-backed investigation path.
  • Suggest whether to fix, instrument, survey, or monitor next.

What it cannot prove alone

  • The user's exact intent or emotional state.
  • A causal explanation for a conversion change.
  • That one vivid replay represents the full cohort.
  • That a proposed fix will produce a guaranteed lift.
Monolytics insight categories beside a natural-language session search input

Privacy and scope

Configure replay collection for the product and audience you operate.

  • Choose the journeys and recording scope needed for the investigation.
  • Review privacy controls before collecting or sharing replay evidence.
  • Maintain the disclosures, lawful basis, and consent flow required for your deployment.
Review GDPR information Read the Privacy Policy

Public review method

Check the finding before it becomes a roadmap decision.

These public guides define the review standard behind the Assistant content: observable evidence first, representative sessions next, and a human decision at the end.

Workflow

AI Session Replay Analysis Workflow

Move from a product question to relevant sessions, repeated behavior, verification, and the next action.

Read the workflow →

Confidence

Session Replay Evidence Confidence Matrix

Separate an investigation lead from a repeated pattern or a supported finding before prioritization.

Review the matrix →

Checklist

AI Session Replay Analysis Checklist

Verify scope, representative sessions, competing explanations, and supporting signals before acting.

Use the checklist →

Bring one real product question to the replay evidence.

Start free, ask about a specific flow, and verify the representative sessions before your team changes the product.

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From the Monolytics blog

Turn AI-assisted replay review into evidence your team can inspect.

Use these breakdowns when you need to review AI-surfaced issue candidates, rage clicks, ignored CTAs, or form drop-off before the issue becomes a support thread.

Assistant FAQ

Need to validate a specific workflow? Email [email protected]

Monolytics Assistant is a session replay assistant for AI-assisted analysis. It helps product teams turn a product question into relevant sessions, replay-backed issue candidates, and a clearer next investigation step.

Ask about observable product behavior: users who abandoned a flow, repeated dead clicks, validation loops, missing feedback, onboarding friction, or differences between completed and stalled journeys. Questions tied to a page, event, segment, or outcome are easier to verify than broad questions about user intent.

No. Replay evidence can show what happened on screen and whether a behavior repeats, but it does not prove exact motive, causality, or business impact by itself. Treat an AI-surfaced finding as an investigation lead until representative sessions and supporting signals confirm it.

Review several representative sessions, compare failed and successful paths, confirm the visible symptom, and check supporting events or errors when they matter. Then choose whether to fix, instrument, ask a targeted question, or continue monitoring.

Configure recording scope and privacy controls for your site, audience, and applicable requirements. Review the GDPR page and Privacy Policy. Customers remain responsible for their own disclosures, lawful basis, and consent flow where required.

The Free plan includes up to 25,000 sessions per month and AI session search. Review the pricing page for current plan limits, retention, and upgrade options.