Should we collect data in error cases?

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Yes, collecting data in error cases can be valuable for improving your product and user experience. According to the knowledge sources, there are a few important points to consider regarding error handling and data collection: 1. Error Handling: For Mixpanel's /import API, it's recommended to implement error handling strategies. As mentioned in Mixpanel Docs, you should retry 429 or 5XX errors using an exponential backoff with jitter strategy. However, 400 errors (indicating malformed payloads) should not be retried and instead be enqueued to a dead-letter-queue for later inspection.2. Validation Errors: Mixpanel provides detailed information about validation errors. As shown in the Mixpanel GitHub Docs, when events fail validation, Mixpanel returns a 400 status code with details about the failed records, including the specific fields that caused the error.3. User Support Metrics: Tracking error-related metrics can be beneficial. The Mixpanel Blog suggests monitoring "User support request rate" as one of the top user onboarding metrics. This can help identify issues in your product or onboarding process.4. Debugging: Collecting data on errors can be crucial for debugging and improving your product. The Mixpanel Blog provides an example where adding a simple event helped diagnose a significant drop in the signup process.By collecting data in error cases, you can gain valuable insights into user experience issues, identify areas for improvement, and streamline your debugging process. However, always ensure that you're following best practices for data privacy and security when collecting and storing error-related data.

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