Introduction
The increase in average handle time for customer support calls through Aircall's IVR system by 2 minutes this quarter is a significant issue that requires thorough investigation. I'll approach this problem systematically, focusing on identifying potential root causes, 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: Seasonal patterns could explain the increase and help us determine if this is a temporary or ongoing issue. Expected answer: Call volume has increased by 15%, with a higher proportion of complex inquiries. Impact on approach: If confirmed, we'd need to focus on scaling our support capabilities and potentially updating our IVR system to handle more complex issues efficiently.
Why it matters: Recent changes could directly impact handle times and point to specific areas for investigation. Expected answer: A new IVR menu structure was implemented at the beginning of the quarter. Impact on approach: This would shift our focus to analyzing the new menu structure and its impact on call routing and resolution times.
Why it matters: Changes in user demographics could indicate a need for adjustments in our support approach or IVR system design. Expected answer: There's been an increase in calls from enterprise customers with more complex issues. Impact on approach: We'd need to consider tailoring our IVR system and support processes to better handle complex enterprise inquiries.
Why it matters: Ensuring consistency in measurement is crucial for accurate problem identification. Expected answer: No changes in calculation methods, but we've recently integrated a new analytics tool. Impact on approach: We'd need to verify the accuracy of the new analytics tool and ensure proper integration with existing systems.
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