Introduction
The decline in Wish's customer support satisfaction score from 4.2 to 3.5 in the past quarter is a significant issue that requires immediate attention. This 16.7% drop in satisfaction could have far-reaching consequences for customer retention, brand reputation, and overall business performance. To address this problem, I'll employ a systematic approach to identify the root cause, validate hypotheses, and develop both short-term 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 could directly impact support quality. Expected answer: Yes, a new ticketing system was implemented. Impact on approach: If confirmed, we'd focus on system transition issues.
Why it matters: Staff changes could affect support quality and consistency. Expected answer: There's been a 20% increase in new hires. Impact on approach: If true, we'd investigate training and onboarding processes.
Why it matters: Helps identify if the issue is global or localized. Expected answer: The decline is more pronounced in certain regions. Impact on approach: We'd focus on region-specific factors if confirmed.
Why it matters: Changes in customer behavior could strain the support system. Expected answer: There's been a 30% increase in inquiries related to shipping delays. Impact on approach: We'd investigate the cause of these inquiries and how they're handled.
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