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Product Management Root Cause Analysis Question: Investigating sudden increase in PyCharm debugging support tickets

What's causing the sudden increase in customer support tickets related to PyCharm's debugging functionality?

Problem-Solving Data Analysis Technical Understanding Software Development Developer Tools IDE
Product Improvement Root Cause Analysis Customer Support IDE Debugging

Introduction

The sudden increase in customer support tickets related to PyCharm's debugging functionality is 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 implications for our product strategy.

In this analysis, we'll start by clarifying the situation, rule out external factors, and then dive deep into the product's user journey and metrics. We'll form data-driven hypotheses, conduct a thorough root cause analysis, and propose a comprehensive resolution plan.

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 update or change. Has there been any recent release or update to PyCharm, particularly related to the debugging functionality?

Why it matters: Recent changes often correlate with sudden increases in support tickets. Expected answer: Yes, there was a recent update. Impact on approach: If confirmed, we'd focus on changes in that update.

  • Considering user segments, I'm wondering if this issue is widespread or concentrated. Are we seeing this increase across all user segments, or is it more prevalent in specific groups (e.g., enterprise vs. individual users, or users of specific programming languages)?

Why it matters: Helps narrow down potential causes and affected user groups. Expected answer: The issue is more prevalent among Python developers. Impact on approach: We'd focus on Python-specific debugging features.

  • Thinking about the nature of the tickets, I'm curious about the specific complaints. What are the most common issues reported in these debugging-related tickets?

Why it matters: Identifies specific pain points and potential technical issues. Expected answer: Users report unexpected behavior during step-through debugging. Impact on approach: We'd investigate the step-through debugging mechanism.

  • Considering potential system changes, I'm wondering about our infrastructure. Have there been any recent changes to our backend systems or services that support PyCharm's debugging functionality?

Why it matters: Backend changes can sometimes cause unexpected frontend issues. Expected answer: No significant backend changes. Impact on approach: We'd focus more on client-side issues and recent updates.

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