What factors are contributing to the unexpected 30% increase in customer support tickets related to Anaplan's Workforce Planning module this month?

Introduction

The unexpected 30% increase in customer support tickets related to Anaplan's Workforce Planning module this month is a critical issue that demands immediate attention. To address this problem effectively, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications.

My analysis will follow a structured framework, covering issue identification, hypothesis generation, validation, and solution development. This approach ensures a comprehensive examination of the problem and leads to actionable insights.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a recent change in the module. Has there been any significant update or feature release for the Workforce Planning module in the past month?

Why it matters: Recent changes often correlate with support ticket increases. Expected answer: Yes, there was a major update. Impact on approach: If yes, we'd focus on the new features and potential bugs.

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

Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: The increase is primarily in enterprise customers. Impact on approach: If segment-specific, we'd tailor our investigation to that group's unique needs or usage patterns.

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

Why it matters: Categorization helps identify patterns and potential root causes. Expected answer: Data integration, report generation, and user interface issues. Impact on approach: We'd prioritize investigating these specific areas of the module.

• Considering potential external factors, has there been any significant change in how we're measuring or categorizing support tickets in the past month?

Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement or categorization. Impact on approach: If there were changes, we'd need to re-baseline our data before proceeding.