Developed comprehensive documentation for the Datadog Error Tracking: Suspected Cause feature within the DataDog/documentation repository. Focused on enhancing onboarding and triage efficiency, the work introduced a new menu item, updated existing error-tracking content, and created a dedicated page detailing how Suspected Cause surfaces initial root-cause hypotheses to help engineers filter and prioritize errors. The documentation included clear guidance on updating Suspected Cause labels and explained their impact on error management workflows. All content was authored using markdown and yaml, leveraging technical writing and documentation skills to ensure clarity and maintainability for engineering teams adopting the new feature.