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Product Management Root Cause Analysis Question: Investigating sudden increase in support tickets for 3D printing material
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Nextsprints

Updated Jan 22, 2025

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Asked at Carbon

15 mins

What caused the sudden spike in customer support tickets related to Carbon's EPU 41 material in the last week?

Data Analysis Problem-Solving Technical Knowledge 3D Printing Manufacturing Materials Science
Root Cause Analysis Product Quality Customer Support 3D Printing Material Science

Introduction

The sudden spike in customer support tickets related to Carbon's EPU 41 material in the last week is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for our product and customers.

I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into our product ecosystem, user journey, and relevant metrics. We'll generate data-driven hypotheses, conduct root cause analysis, and develop a comprehensive plan for validation and resolution.

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 change to the EPU 41 material or its production process in the past month?

Why it matters: Recent changes often correlate with sudden spikes in support tickets. Expected answer: Yes, there was a minor formulation adjustment. Impact on approach: If yes, we'd focus on the change management process and potential quality issues.

  • Considering user segments, I'm curious about the distribution of these tickets. Are they coming from a specific customer segment or use case?

Why it matters: Helps identify if the issue is widespread or localized to a particular group. Expected answer: Tickets are primarily from industrial customers using EPU 41 for high-stress applications. Impact on approach: If segmented, we'd tailor our investigation and solution to that specific use case.

  • Given the nature of support tickets, I'm wondering about the specific issues being reported. What are the top 3 complaints or problems mentioned in these tickets?

Why it matters: Identifies patterns in the reported issues, guiding our root cause analysis. Expected answer: Unexpected material brittleness, color inconsistency, and longer curing times. Impact on approach: We'd focus our investigation on these specific material properties and production processes.

  • Considering potential system issues, has there been any change in how we track or categorize support tickets in the last month?

Why it matters: Ensures we're not dealing with a data anomaly rather than a real product issue. Expected answer: No changes to the ticketing system or categorization process. Impact on approach: If changed, we'd need to validate the data before proceeding with product-focused analysis.

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