Introduction
A sudden 30% increase in customer support tickets related to Mynd's rent collection feature signals a critical issue that demands immediate attention. This surge in support requests not only impacts customer satisfaction but also strains our support resources and potentially threatens our core value proposition. To address this challenge, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.
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 sudden metric shifts. Expected answer: Yes, a minor UI update was implemented. Impact on approach: If confirmed, we'd focus on the UI change as a primary hypothesis.
Why it matters: Helps identify if the issue is isolated to a particular user group. Expected answer: Tickets are primarily from newer users. Impact on approach: If true, we'd investigate onboarding processes and new user experiences.
Why it matters: Rent collection is often cyclical, and timing could reveal systemic issues. Expected answer: The increase started mid-month, not aligning with typical rent cycles. Impact on approach: If confirmed, we'd look beyond cyclical factors to identify the cause.
Why it matters: Technical issues can directly impact user experience and support ticket volume. Expected answer: No significant outages, but some intermittent slowdowns were noted. Impact on approach: If true, we'd prioritize investigating backend performance and stability.
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