Inspectlet AI Insights reads every session and synthesizes them into a ranked diagnosis — which funnels are regressing, which buttons are broken, which pages are hemorrhaging users, and how many people it's hurting. No more hunting through recordings to guess at causes.
/checkout/address, impacting 1,182 users. Evidence: dead-clicks on the Continue button spiked 3.4×, and 62% of abandons had a validation error on ZIP.
Recordings are raw evidence, not analysis. Figuring out whether the drop-off on checkout is a broken button, a validation error, a copy change, or something else entirely is still your job. Every week. For every page.
A busy site produces thousands of sessions a week. Even the best team watches under 1% — and the important ones almost always fall in the other 99%.
GA4 says checkout conversion fell 6 points this week. Great. Which step? Which element? Which segment? A metric is an alarm, not a diagnosis.
Manual triage takes days. Revenue leaks for a full sprint before anyone notices the real cause. You need something that runs continuously, not a person sampling recordings.
Every few hours, AI Insights synthesizes what it saw across every recording and produces a short diagnosis — the kind of paragraph a senior analyst would write if they had time to watch all 24,000 sessions. No dashboards to interpret, no charts to assemble.
Your site's biggest user-experience issue this week is the checkout address step — abandonment rose from 22% to 28%, costing roughly 1,182 users on the path to purchase.
The dominant cause is validation errors on the ZIP field: 62% of the users who abandoned saw an inline error, and many of them then rage-clicked the Continue button 3–7 times before leaving. Mobile Safari is disproportionately affected (48% of abandons vs 31% of traffic).
A separate, lower-priority issue: the Homepage hero CTA is dead-clicked 140+ times/day on /pricing-curious traffic; the link was likely removed in last Thursday's deploy.
Define funnels the way you already think about them — signup, checkout, onboarding — and AI Insights watches each stage individually. When any stage slips, you get the delta in percentage points, the affected session count, and the inline explanation of why.
2▼, 1▲) for at-a-glance triage across funnelsTracked weekly
AI Insights labels every interaction across your site — rage clicks, dead clicks, validation errors, JavaScript errors — and aggregates them per element. You get a ranked list of which specific thing needs attention, with impact numbers, not a generic "events" tab.
The Journeys view maps real navigation flows, step by step, with exit percentages on every page. Click a page to explore where it leads next. The pages bleeding traffic light up immediately.
Entry → where users actually go
Teams already using session replay still spend days figuring out why a number moved. AI Insights collapses that work into a paragraph.
Dashboards that just visualize metrics don't know why anything changed. Inspectlet labels every interaction semantically — rage click, dead click, validation error, JS error — and correlates those labels with business outcomes. That's the layer that lets AI produce real diagnosis, not just prettier charts.
Every click, scroll, form interaction, and error is classified by what it means, not just what it looks like in the page structure. That's the foundation that makes diagnosis possible.
Most products make you watch recordings to form a hypothesis. AI Insights starts from the hypothesis and uses replay to back it up — one click, you're on the exact moment.
Analysis runs on a rolling window with cached results that refresh every few hours. No nightly batch, no "check again Monday" — the diagnosis is current when you open it.
No new snippet, no instrumentation, no tagging. If you're already recording with Inspectlet, AI Insights reads that data directly and starts producing diagnoses on day one.
Free plan available. No credit card, no tagging, no configuration. If you're already recording with Inspectlet, AI Insights starts producing diagnoses the first time you open it.