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Product Management Root Cause Analysis Question: Investigating sudden increase in Dynamics 365 implementation support tickets
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Nextsprints

Updated Jan 22, 2025

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What factors are contributing to the sudden 50% increase in support tickets for Avanade's Dynamics 365 implementation projects this month?

Problem Solving Data Analysis Strategic Thinking IT Consulting Enterprise Software Cloud Services
Root Cause Analysis Enterprise Software Support Optimization Implementation Dynamics 365

Introduction

The sudden 50% increase in support tickets for Avanade's Dynamics 365 implementation projects this 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 customers.

I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into our product, user journey, and 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 there might be a recent product update. Has there been any significant change to Dynamics 365 or our implementation process in the last month?

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 rollout process.

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

Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: The increase is primarily in enterprise clients. Impact on approach: If concentrated, we'll dive deeper into that segment's unique needs and usage patterns.

  • Thinking about the nature of support tickets, I'm wondering about the types of issues being reported. Has there been a shift in the categories of problems users are experiencing?

Why it matters: Indicates whether this is a new issue or an exacerbation of existing problems. Expected answer: There's been an increase in performance-related tickets. Impact on approach: If there's a pattern, we'll focus our investigation on those specific areas.

  • Considering our support infrastructure, I'm curious about any recent changes to our support processes or tools. Have we modified how users can submit tickets or how we categorize them?

Why it matters: Changes in support systems can sometimes create artificial spikes in metrics. Expected answer: No significant changes to support processes. Impact on approach: If changes were made, we'd need to factor that into our data analysis.

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