Introduction
GupShup's chatbot builder tool has experienced a 50% increase in error rates during bot deployments in the past 48 hours. This sudden spike in errors is concerning and requires immediate attention to maintain the platform's reliability and user satisfaction. I'll approach this issue systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term solutions.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes often correlate with sudden performance shifts. Expected answer: Yes, a minor update was pushed 3 days ago. Impact on approach: If confirmed, I'd focus on changes introduced in that update.
Why it matters: Helps determine if it's a systemic issue or limited to certain user groups. Expected answer: The increase is more pronounced for enterprise users. Impact on approach: I'd prioritize investigating enterprise-specific features or integrations.
Why it matters: Different error types point to different root causes. Expected answer: Mostly integration failures with third-party APIs. Impact on approach: I'd focus on recent changes in API integrations or external dependencies.
Why it matters: Unusual traffic spikes or changes in user behavior could strain the system. Expected answer: No significant changes in overall traffic, but a 20% increase in API calls. Impact on approach: I'd investigate if the increased API calls are related to the errors.
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