What factors are contributing to the sudden 30% increase in average handle time for agents using eGain's Conversation Hub in the last month?

Introduction

The sudden 30% increase in average handle time for agents using eGain's Conversation Hub is a critical issue that demands immediate attention. This significant shift in a key performance metric could have far-reaching implications for 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 fixes and long-term solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might have been a recent update or change. Has there been any significant software update or configuration change to the Conversation Hub in the last 1-2 months?

Why it matters: Recent changes often correlate with performance shifts. Expected answer: Yes, there was a major update. Impact on approach: If yes, we'd focus on the update's features and potential bugs.

• Considering user segments, I'm curious about the distribution. Is this increase uniform across all agent groups or concentrated in specific segments?

Why it matters: Helps identify if it's a systemic issue or limited to certain user groups. Expected answer: The increase varies across agent groups. Impact on approach: If varied, we'd investigate differences between affected and unaffected groups.

• Thinking about external factors, have there been any significant changes in customer inquiry complexity or volume recently?

Why it matters: External changes can impact handle times independently of the system. Expected answer: Customer inquiries have remained relatively stable. Impact on approach: If stable, we'd focus more on internal factors rather than external influences.

• Regarding data integrity, has there been any change in how average handle time is calculated or measured in the last month?

Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in calculation methods. Impact on approach: If changed, we'd need to recalibrate our analysis based on the new measurement approach.