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Product Management Metrics Question: Defining success for Planday's workforce management mobile app

Why has the average time spent on Planday's reporting dashboard dropped significantly for enterprise clients this quarter?

Data Analysis Problem Solving User Experience Design SaaS Human Resources Enterprise Software
User Engagement Data Analytics Root Cause Analysis Enterprise Software Workforce Management

Introduction

The significant drop in average time spent on Planday's reporting dashboard for enterprise clients this quarter is a critical issue that requires immediate attention. As we analyze this product problem, we'll follow a systematic framework to identify, validate, and address the root cause while considering both immediate and long-term implications.

Our approach will involve a thorough examination of the issue, generation of data-driven hypotheses, and development of a comprehensive solution strategy. We'll begin by clarifying the context, then rule out external factors before diving deep into product understanding, metric breakdown, and root cause analysis.

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 user segment, I'm wondering about the specific definition of "enterprise clients." Could you clarify what criteria Planday uses to categorize clients as enterprise?

Why it matters: Understanding the exact user segment affected helps narrow down potential causes and tailor our solutions. Expected answer: Enterprise clients are typically defined by annual revenue, number of employees, or subscription tier. Impact on approach: Different definitions might lead us to focus on specific features or use cases relevant to that segment.

  • Considering the timing, I'm curious about when this drop was first noticed. Has it been a gradual decline over the quarter, or was there a sudden drop at a specific point?

Why it matters: The pattern of decline can indicate whether the issue is related to a specific event or a broader trend. Expected answer: The drop occurred suddenly in the middle of the quarter. Impact on approach: A sudden drop would lead us to investigate recent changes or events, while a gradual decline might suggest a shift in user behavior or needs.

  • Thinking about the metric itself, I'm wondering if there have been any changes to how "time spent" is measured or if any new features have been added to the reporting dashboard recently?

Why it matters: Changes in measurement or dashboard features could directly impact the metric without necessarily indicating a problem with user engagement. Expected answer: No changes to the measurement method, but a new export feature was added last month. Impact on approach: If there were changes, we'd need to investigate how they might have affected user behavior or data collection.

  • Considering potential external factors, have there been any significant changes in the industries our enterprise clients primarily operate in, such as new regulations or economic shifts?

Why it matters: External factors could explain changes in dashboard usage without indicating a problem with the product itself. Expected answer: No major industry-wide changes, but there's been a trend towards more automated reporting in some sectors. Impact on approach: Industry trends would lead us to investigate how well our dashboard aligns with evolving client needs and practices.

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