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Company focus

Axway

How can we explain the sudden decline in active users for Axway's B2B integration cloud service over the last 30 days?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving Strategic Thinking Enterprise Software Cloud Computing B2B Services User Retention Product Metrics Root Cause Analysis Cloud Services B2B Integration
Product Management Root Cause Analysis Question: Investigating sudden decline in Axway's B2B integration cloud service users

Introduction

The sudden decline in active users for Axway's B2B integration cloud service over the last 30 days is a critical issue that demands immediate attention. To address this problem, 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, beginning with clarifying questions to gather essential context, followed by a thorough examination of potential external factors. I'll then delve into the product's core functionality, break down the relevant metrics, and formulate data-driven hypotheses. Through rigorous root cause analysis and validation, we'll develop a comprehensive plan to address the issue and prevent future occurrences.

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 change in the product or market. Has there been any significant product update or market shift in the last 30-45 days?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, a major feature update was released 35 days ago. Impact on approach: If confirmed, we'd focus on the new feature's impact on user behavior.

  • Considering the nature of B2B services, I'm curious about the customer composition. Has there been any change in the distribution of enterprise vs. small business customers recently?

Why it matters: Different customer segments may react differently to changes or issues. Expected answer: No significant change in customer composition. Impact on approach: If unchanged, we'd look at factors affecting all customer segments equally.

  • Given the cloud-based nature of the service, I'm wondering about any infrastructure changes. Have there been any major changes to the cloud infrastructure or service providers in the last 30-60 days?

Why it matters: Infrastructure changes can impact service performance and user experience. Expected answer: A minor cloud provider change occurred 45 days ago. Impact on approach: If confirmed, we'd investigate potential performance issues related to the change.

  • Considering the importance of data accuracy, I'm curious about our measurement systems. Has there been any change in how we define or measure active users in the last 60 days?

Why it matters: Changes in measurement can create false impressions of metric shifts. Expected answer: No changes in measurement methodology. Impact on approach: If unchanged, we'd focus on actual user behavior changes rather than measurement artifacts.

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Updated Jan 22, 2025