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)
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.
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.
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.
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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