Introduction
The sudden 40% increase in customer support ticket volume for BYJU'S coding platform this week is a critical issue that demands immediate attention. This surge could indicate underlying problems affecting user experience, potentially impacting customer satisfaction and retention. I'll approach this analysis systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.
Framework overview
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 support ticket spikes. Expected answer: Yes, a new coding exercise module was launched. Impact on approach: If confirmed, I'd focus on the new module's user experience and potential bugs.
Why it matters: Helps narrow down if the issue is universal or segment-specific. Expected answer: The increase is primarily from beginner-level users. Impact on approach: I'd investigate the onboarding process and beginner-friendly features.
Why it matters: Changes in ticket content can point to specific problem areas. Expected answer: There's an increase in questions about code compilation errors. Impact on approach: I'd focus on the code execution environment and error messaging.
Why it matters: New user influx can sometimes lead to increased support needs. Expected answer: A partnership with an online learning platform started last week. Impact on approach: I'd examine the onboarding process for users from this new channel.
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