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Company focus

MathWorks

What factors are contributing to the sudden 30% increase in customer support tickets related to Simulink Real-Time in the last month?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving Technical Product Knowledge Engineering Software Simulation Tools Embedded Systems Root Cause Analysis Product Troubleshooting Customer Support Software Engineering MathWorks
Product Management Root Cause Analysis Question: Investigating sudden increase in Simulink Real-Time support tickets

Introduction

The sudden 30% increase in customer support tickets related to Simulink Real-Time over the past month 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 users.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into our product, metrics, and user journey. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose 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 there might be a recent product update. Has there been any significant change to Simulink Real-Time in the last 1-2 months?

Why it matters: Recent changes often correlate with support ticket spikes. Expected answer: Yes, a major update was released. Impact on approach: If yes, we'll focus on the update's features and potential issues.

  • Considering user segments, I'm curious about the distribution of these tickets. Are they coming from a specific user group or spread across all users?

Why it matters: Helps identify if it's a targeted or widespread issue. Expected answer: Tickets are primarily from new users. Impact on approach: If concentrated, we'll investigate that specific user segment more closely.

  • Thinking about the nature of the tickets, I'm wondering about their content. What are the top 3 issues being reported in these support tickets?

Why it matters: Identifies common themes or potential systemic issues. Expected answer: Performance slowdowns, compatibility issues, and error messages. Impact on approach: Will guide our technical investigation and hypothesis formation.

  • Reflecting on our support process, has there been any change in how we categorize or handle Simulink Real-Time tickets in the last month?

Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes to the support process. Impact on approach: If yes, we'd need to re-evaluate our baseline metrics.

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Updated Jan 22, 2025