Introduction
Talkdesk's Interactive Voice Response (IVR) system has experienced a 15% drop in successful call routing over the past month, indicating a significant issue that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into the product's user journey, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and 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: System changes often correlate with performance shifts. Expected answer: Yes, there was a minor update. Impact on approach: If yes, I'd focus on change management and regression testing processes.
Why it matters: Helps identify if the problem is systemic or segment-specific. Expected answer: The drop is more significant in enterprise customers. Impact on approach: If segmented, I'd investigate unique characteristics of affected segments.
Why it matters: Ensures we're comparing apples to apples in our analysis. Expected answer: No changes in definition or measurement. Impact on approach: If changed, I'd focus on metric consistency and data integrity.
Why it matters: User behavior shifts can impact system performance. Expected answer: Call volumes have remained stable. Impact on approach: If volumes changed, I'd investigate capacity and load balancing.
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