Swiftly solve errors that disrupt user journeys
Remove obstacles that stop users from converting
Focus on the issues with the biggest impact
Find, understand, and resolve any issue
Get technical and functional errors on your radar
Find JavaScript, API, and custom (or user-defined) errors harming your conversions and revenue. Jump directly to related session replays to see how errors affect real user journeys, and prioritize issues that make the biggest impact.
Proactively find errors to minimize their impact upon users
Get alerted to error spikes by real-time notifications in your Slack or Microsoft Teams channels. View session replays to dig into the underlying technical details, and file Jira tickets with 1-click.
Search user journeys for text-based warnings and error messages
See how users experience errors by searching for specific text that appears in warning and failure messages. Replay individual sessions to watch what the user did before seeing the messages.
See exactly what you users saw and how errors affected their behavior
Reply any individual user journey in a video-like recording with a timeline of errors and troubleshooting details. You’ll see exactly what the user saw—including any bugs or error messages that popped up on their screen.
Stay on top of errors and issues
Jump straight to the errors that hurt your business the most
Errors are inevitable, but who has the time to assess them all manually? Contentsquare automatically alerts you to the most critical issues so you know what to prioritize.
Identify issues that are spoiling user experiences
While there are many types of errors, they don’t all affect users directly. See which errors are linked with user frustration and behaviors, like rage clicks.
Get to the bottom of complaints by surfacing root causes in session replays
Investigating complaints from Voice of Customer tools or contact center tickets? Pinpoint technical errors with the Session Replay event stream.
Skip straight to the moments where errors were detected to immediately see what’s going wrong. Then quantify how many other users are experiencing the same error with a few clicks.