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Product Management Root Cause Analysis Question: Investigating sudden drop in ADP mobile app time tracking engagement
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Nextsprints

Updated Jan 22, 2025

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Asked at ADP

12 mins

How can we explain the sudden 30% drop in user engagement with ADP's mobile app time tracking feature in the last two weeks?

Data Analysis Problem Solving User Behavior Understanding HR Tech Enterprise Software Workforce Management
User Engagement Root Cause Analysis Mobile Apps Time Tracking ADP

Introduction

The sudden 30% drop in user engagement with ADP's mobile app time tracking feature over the past two weeks 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 the product and its users.

To tackle this problem, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to provide a comprehensive analysis that not only pinpoints the cause of the engagement drop but also outlines actionable steps to resolve it and prevent similar issues in the future.

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 have been a recent app update. Has there been any significant changes or updates to the ADP mobile app in the last month?

Why it matters: Recent changes could directly impact user engagement. Expected answer: Yes, there was an update two weeks ago. Impact on approach: If confirmed, we'd focus on changes introduced in the update.

  • Considering user segments, I'm curious about the distribution of this engagement drop. Is the 30% decrease uniform across all user types, or are certain segments more affected?

Why it matters: Helps identify if the issue is global or specific to certain users. Expected answer: The drop is more pronounced among hourly workers. Impact on approach: We'd investigate factors specific to hourly workers' use cases.

  • Given the nature of time tracking, I'm wondering about any recent changes in labor laws or company policies. Have there been any significant shifts in how companies are required to track time?

Why it matters: External factors could influence how users interact with the app. Expected answer: No major changes in labor laws recently. Impact on approach: We'd focus more on internal factors if external influences are ruled out.

  • Considering potential technical issues, I'm curious about the app's performance metrics. Have there been any noticeable changes in app load times, crash rates, or other technical performance indicators?

Why it matters: Technical issues could directly impact user engagement. Expected answer: Some users have reported slower load times for the time tracking feature. Impact on approach: We'd prioritize investigating technical performance issues.

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