What caused the sudden 30% decrease in new user signups for Domestika's mobile app in the last week?

Introduction

The sudden 30% decrease in new user signups for Domestika's mobile app in the last week 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.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product ecosystem, user journey, and relevant metrics. From there, I'll generate data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this could be related to a recent app update. Has there been any significant changes or updates to the app in the past two weeks?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, there was an update. Impact on approach: If yes, we'd focus on changes in that update.

• Considering user segments, I'm curious about the distribution of this decrease. Is the 30% drop uniform across all user segments, or is it more pronounced in specific groups?

Why it matters: Helps identify if the issue is global or segment-specific. Expected answer: The drop is more significant in new users. Impact on approach: If segmented, we'd analyze the most affected groups first.

• Given the nature of Domestika's content, I'm wondering about seasonality. How does this week's signup rate compare to the same period in previous years?

Why it matters: Rules out normal seasonal fluctuations. Expected answer: This decrease is abnormal for this time of year. Impact on approach: If seasonal, we'd look at external factors more closely.

• Thinking about the signup funnel, I'm curious about the conversion rates at each step. Has there been any change in the funnel metrics leading up to the final signup step?

Why it matters: Pinpoints where in the process users are dropping off. Expected answer: There's a significant drop at the final signup step. Impact on approach: We'd focus on the specific part of the funnel showing the largest decrease.