Find AI Tools
FullStory AI screenshot

What is FullStory AI?

FullStory AI is a digital experience intelligence platform that combines session replay with behavioural analytics to help teams understand how users interact with their websites and applications. It records user sessions, allowing you to watch exactly what happened when someone encountered a problem or completed a key action. The AI component analyses this data to identify patterns, pinpoint friction points, and surface issues that might otherwise go unnoticed. The tool is designed for product teams, UX researchers, developers, and customer support staff who need visibility into real user behaviour rather than relying solely on aggregated metrics. By seeing actual session recordings paired with analytics, teams can diagnose why users drop off, understand navigation patterns, and validate whether design changes actually improve the experience. FullStory operates on a freemium model, making it accessible for small teams to get started, with paid tiers offering higher replay volume and more advanced analytics features.

Key Features

Session replay

Watch recordings of user interactions to see exactly what happened during a session

Behavioural analytics

Analyse aggregate patterns across sessions to identify trends and common user paths

AI-assisted insights

Automated detection of crashes, errors, and unusual behaviour patterns

Heatmaps and interaction data

Visualise where users click, scroll, and spend time on pages

Search and filtering

Find specific sessions by user behaviour, technical errors, or custom events

Rage click detection

Identify moments of user frustration through rapid repeated clicks

Pros & Cons

Advantages

  • Combines video replay with analytics for context you cannot get from numbers alone
  • Freemium tier lets you trial the core features without commitment
  • AI automatically flags technical issues and unusual behaviour, saving manual review time
  • Works across different browsers and devices to capture diverse user experiences

Limitations

  • Session replay data involves privacy considerations; compliance with regulations like GDPR requires careful configuration
  • High-volume session replay can generate substantial data storage and bandwidth costs as your user base grows

Use Cases

Debugging why users abandon checkout or sign-up flows by watching actual session recordings

Identifying usability problems during website redesigns by observing how real users handle the new design

Supporting customer complaints with concrete evidence of what the user experienced

Analysing mobile app behaviour to optimise touch interactions and navigation patterns

Testing feature changes by comparing user behaviour before and after deployment