Suggest an editImprove this articleRefine the answer for “What is error analytics?”. Your changes go to moderation before they’re published.Approval requiredContentWhat you’re changing🇺🇸EN🇺🇦UAPreviewTitle (EN)Short answer (EN)**Error analytics** is the collection and analysis of data about **errors and failures in an application**, to understand what broke, where and for whom it happened, and how critical it is for the business. **Key point:** it's not just an error log, it's a systematic way to understand where the product breaks, for whom, why, and how critical it is.Shown above the full answer for quick recall.Answer (EN)Image**Error analytics** is the collection and analysis of data about **errors and failures in an application**, to understand: --- ### What broke - JavaScript errors, - crashes, - rejected promises, - API errors, - problems loading resources. --- ### Where and for whom it happened - which users were affected, - which browser and device, - which country, - which step of the funnel, - which version of the application. --- ### Why it's needed 1. **Real-time bug detection**, catching errors before a user reports them. 2. **Prioritizing by scale**, seeing which errors happen often and which are critical. 3. **Context analysis**, which actions led to the failure. 4. **Connecting it to the business**, if 5% of users can't complete an order because of an error, that's money, not just a bug. --- ### Example tools: - Sentry - Bugsnag - Rollbar - Firebase Crashlytics --- **Summary:** error analytics is not just an error log, it's **a systematic way to understand where the product breaks, for whom, why, and how critical it is.**For the reviewerNote to the moderator (optional)Visible only to the moderator. Helps review go faster.