Why has the daily active user count for WiGroup's mobile app dropped by 30% over the past week?

Introduction

The sudden 30% drop in daily active users for WiGroup's mobile app over the past week is a critical issue that demands immediate attention and a thorough root cause analysis. This significant decline in user engagement could have far-reaching consequences for the app's success and the company's overall performance. To address this problem, I'll employ a systematic approach to identify potential causes, validate hypotheses, and develop both short-term and long-term solutions.

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 app in the past 1-2 weeks?

Why it matters: Recent changes could directly impact user experience and engagement. Expected answer: Yes, there was an update released 10 days ago. Impact on approach: If confirmed, we'd focus on analyzing the changes in that update.

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

Why it matters: This helps identify if the issue is global or specific to certain user types. Expected answer: The drop is more pronounced among iOS users and younger demographics. Impact on approach: We'd prioritize investigating iOS-specific issues and features popular with younger users.

• Given the sudden nature of the drop, I'm wondering about any external events. Have there been any significant market changes, competitor launches, or media coverage about WiGroup in the past week?

Why it matters: External factors could explain sudden shifts in user behavior. Expected answer: A major competitor launched a new feature last week. Impact on approach: We'd analyze the competitor's offering and its potential impact on our user base.

• Thinking about data accuracy, I want to confirm our metrics. Has there been any change in how we measure or define daily active users recently?

Why it matters: Ensures we're not chasing a non-existent problem due to measurement errors. Expected answer: No changes in measurement methodology. Impact on approach: If confirmed, we can rule out data collection issues and focus on actual user behavior changes.