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Company focus

Talkdesk

What caused the sudden 30% increase in average handle time for Talkdesk's live chat support feature last week?

Prepared by NextSprints

12 mins
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Data Analysis Problem-Solving Technical Understanding SaaS Customer Service Cloud Communications Performance Metrics Root Cause Analysis SaaS Customer Support
Product Management Root Cause Analysis Question: Investigating sudden increase in customer support handle time

Introduction

The sudden 30% increase in average handle time for Talkdesk's live chat support feature last week is a critical issue that demands immediate attention. This significant spike could impact customer satisfaction, agent productivity, and overall operational efficiency. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking this could be related to a recent product update. Has there been any significant change to the live chat feature or related systems in the past two weeks?

Why it matters: Recent changes often correlate with performance shifts. Expected answer: Yes, a new UI was rolled out. Impact on approach: If confirmed, I'd focus on UI-related hypotheses.

  • Considering user segments, I'm curious if this increase is uniform across all customer types. Are we seeing any differences in handle time increases between, say, enterprise and SMB customers?

Why it matters: Segmentation could reveal targeted issues. Expected answer: Enterprise customers show a higher increase. Impact on approach: I'd prioritize investigating enterprise-specific factors.

  • Given the magnitude of the change, I'm wondering about data accuracy. Has there been any change in how we measure or calculate average handle time recently?

Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Expected answer: No changes in measurement. Impact on approach: If confirmed, I'd focus on actual performance issues rather than data discrepancies.

  • Thinking about external factors, have we seen any significant increase in complex queries or a shift in the types of issues customers are raising?

Why it matters: External shifts can drive internal metric changes. Expected answer: Some increase in product-related queries. Impact on approach: I'd investigate if there's a correlation with recent product changes or market events.

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Updated Jan 22, 2025