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Company focus

AHEAD

How can we explain the unexpected 25% increase in customer support tickets related to AHEAD's managed IT services platform in the last two weeks?

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving Strategic Thinking IT Services Cloud Computing Managed Services Data Analysis Root Cause Analysis Customer Support Problem Solving IT Services
Product Management Root Cause Analysis Question: Investigating sudden increase in IT support tickets

Introduction

The unexpected 25% increase in customer support tickets related to AHEAD's managed IT services platform over the past two weeks is a critical issue that demands immediate attention. This surge in support requests not only impacts customer satisfaction but also strains our support resources and potentially signals underlying problems with our platform. To address this challenge, I'll employ a systematic approach to identify, validate, and resolve 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)

  • Given the sudden spike, I'm wondering about recent platform changes. Have there been any significant updates or new feature releases in the past month?

Why it matters: Recent changes often correlate with support ticket increases. Expected answer: Yes, a major update was rolled out three weeks ago. Impact on approach: If confirmed, we'd focus on the update's impact and potential rollback options.

  • Considering user segments, I'm curious if this increase is uniform across all customer types. Are we seeing a disproportionate increase from any particular customer segment?

Why it matters: Helps identify if the issue is widespread or localized to specific user groups. Expected answer: Enterprise customers are experiencing a 40% increase, while SMBs only show a 10% rise. Impact on approach: We'd prioritize investigating enterprise-specific features or use cases.

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

Why it matters: Categorization helps pinpoint specific problem areas within the platform. Expected answer: Login issues, data sync problems, and slow performance are the top three categories. Impact on approach: We'd focus our investigation on authentication systems, data management, and performance optimization.

  • Considering external factors, I'm curious about any recent changes in our customer onboarding process. Have we significantly increased our customer base or changed our onboarding procedures recently?

Why it matters: A rapid influx of new users or changes in how they're introduced to the platform could explain the ticket increase. Expected answer: No significant changes in customer acquisition or onboarding processes. Impact on approach: We'd shift focus to internal platform issues rather than user education or onboarding problems.

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Updated Jan 22, 2025