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Product Management Root Cause Analysis Question: Investigating sudden increase in customer support tickets for meal delivery service

What's causing the sudden increase in customer support tickets related to Cure.fit's meal delivery service?

Problem Solving Data Analysis Customer Experience Management Food Tech Health and Wellness E-commerce
Root Cause Analysis Food Tech Customer Support Service Quality Operational Metrics

Introduction

The sudden increase in customer support tickets related to Cure.fit's meal delivery service signals a critical issue that demands immediate attention. As we delve into this problem, we'll employ a systematic approach to identify, validate, and address 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)

  • Looking at the timing, I'm thinking there might be a recent change in the service. Has there been any significant update to the meal delivery process or menu in the past few weeks?

Why it matters: Recent changes often correlate with spikes in support tickets. Expected answer: Yes, we've introduced a new menu and packaging system. Impact on approach: If confirmed, we'd focus on these changes as potential root causes.

  • Considering user segments, I'm curious about the distribution of complaints. Are we seeing this increase across all customer types, or is it concentrated in specific groups?

Why it matters: Helps narrow down if it's a universal issue or specific to certain users. Expected answer: The increase is primarily from our premium subscribers. Impact on approach: We'd investigate factors unique to premium offerings and their user expectations.

  • Thinking about the nature of complaints, I'm wondering about the most common issues reported. What are the top three categories of complaints we're seeing in these tickets?

Why it matters: Identifies specific areas to focus our investigation and potential quick wins. Expected answer: Late deliveries, incorrect orders, and food quality issues. Impact on approach: We'd prioritize these areas in our root cause analysis and solution development.

  • Considering potential system issues, I'm interested in our operational metrics. Have we noticed any changes in our on-time delivery rates or order accuracy in the past month?

Why it matters: Operational metrics often correlate with customer satisfaction and support ticket volume. Expected answer: On-time delivery rates have dropped by 15% in the last two weeks. Impact on approach: We'd focus on logistics and delivery processes as a primary area of investigation.

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