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Product Management Root Cause Analysis Question: Investigating increased response time for Freshworks Freshservice tickets

Why has the average response time for Freshworks' Freshservice tickets increased from 2 hours to 6 hours this month?

Data Analysis Problem-Solving Strategic Thinking SaaS IT Service Management Customer Support
Performance Metrics Root Cause Analysis Customer Support ITSM Freshworks

Introduction

The recent increase in average response time for Freshworks' Freshservice tickets from 2 hours to 6 hours this month is a critical issue that demands immediate attention. This significant shift in performance metrics could impact customer satisfaction, team productivity, and overall service quality. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • Considering the timing, I'm wondering if there have been any recent changes to the ticketing system or support processes. Have any major updates or modifications been implemented in the past month?

Why it matters: Recent changes could directly impact response times. Expected answer: Information about system updates or process changes. Impact on approach: If changes occurred, we'd focus on those specific areas first.

  • Looking at the scale of the increase, I'm curious about the ticket volume. Has there been a significant spike in the number of tickets received compared to previous months?

Why it matters: A sudden increase in volume could strain existing resources. Expected answer: Data on ticket volume trends. Impact on approach: If volume increased, we'd explore scalability solutions.

  • Thinking about team dynamics, I'm wondering about any changes in the support team structure. Have there been any recent staffing changes, such as departures or new hires?

Why it matters: Team composition can greatly affect response times. Expected answer: Information on recent staffing changes. Impact on approach: If staffing changed, we'd focus on team capacity and training.

  • Considering potential data anomalies, I'm curious about the consistency of the metric calculation. Has the method for measuring average response time remained the same?

Why it matters: Ensures we're comparing apples to apples. Expected answer: Confirmation of consistent measurement methods. Impact on approach: If measurement changed, we'd need to reassess the actual problem.

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