Why has Premise's data collection app seen a 30% drop in daily active users over the past month?

Introduction

The recent 30% drop in daily active users (DAU) for Premise's data collection app is a critical issue that demands immediate attention. This significant decline in user engagement could have far-reaching consequences for the product's success and the company's overall performance. To address this challenge, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a seasonal component. Has this drop coincided with any particular events or time of year?

Why it matters: Seasonal trends can significantly impact user behavior and help us differentiate between cyclical patterns and genuine problems. Expected answer: No significant seasonal correlation. Impact on approach: If seasonal, we'd focus on strategies to mitigate annual dips; if not, we'd dig deeper into product-specific issues.

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

Why it matters: Identifying disproportionately affected segments can pinpoint specific issues or user needs we're failing to address. Expected answer: The drop is more pronounced among casual users. Impact on approach: We'd focus on improving the onboarding process and value proposition for casual users if they're more affected.

• Thinking about recent changes, have there been any significant updates to the app or data collection process in the past 1-2 months?

Why it matters: Recent changes could directly correlate with the drop in DAU if they've negatively impacted user experience. Expected answer: A new UI was rolled out 6 weeks ago. Impact on approach: We'd scrutinize the UI changes and potentially consider a rollback or rapid iterations to address user pain points.

• Considering data integrity, has there been any change in how we measure or define DAU recently?

Why it matters: Ensures we're comparing apples to apples and not chasing a phantom problem due to measurement inconsistencies. Expected answer: No changes in DAU measurement. Impact on approach: If there were changes, we'd need to recalibrate our analysis based on the new measurement criteria.