Introduction
The doubling of average response time for DevRev's customer support tickets over the past two weeks is a critical issue that demands immediate attention. This sudden increase could significantly impact customer satisfaction, retention, and overall product perception. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing 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 often correlate with performance shifts. Expected answer: Yes, there was a major product update two weeks ago. Impact on approach: If true, I'd focus on investigating the impact of the new release on support ticket complexity.
Why it matters: This helps identify if the issue is systemic or category-specific. Expected answer: The increase is more pronounced in technical support tickets. Impact on approach: I'd prioritize investigating technical support processes and related product areas.
Why it matters: Staffing changes can directly impact response times. Expected answer: No major staffing changes in the past month. Impact on approach: If true, I'd focus more on process and technical issues rather than human resource factors.
Why it matters: A surge in tickets could explain longer response times if not matched with increased capacity. Expected answer: Ticket volume has remained relatively stable. Impact on approach: If true, I'd focus more on internal factors affecting efficiency rather than external demand.
Practice similar questions
Subscribe to access the full answer