What caused the sudden 30% decrease in new user signups for Flo Health's pregnancy mode in the last week?

Introduction

The sudden 30% decrease in new user signups for Flo Health's pregnancy mode 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 business.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into product understanding, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a recent change in the app or marketing. Has there been any significant update or campaign in the last two weeks?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, there was an app update or new marketing campaign. Impact on approach: If yes, I'd focus on analyzing the impact of these changes.

• Considering user segments, I'm curious about the distribution of this decrease. Is the 30% drop consistent across all user demographics and regions?

Why it matters: Uneven distribution could point to localized issues or specific user group problems. Expected answer: The decrease varies across segments. Impact on approach: If varied, I'd prioritize investigating the most affected segments.

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

Why it matters: Pregnancy-related products often have seasonal patterns. Expected answer: This decrease is unusual compared to historical data. Impact on approach: If consistent with past years, I'd consider seasonal factors more heavily.

• Thinking about the user journey, I'm interested in where users are dropping off. At which step in the signup process are we seeing the most significant decrease?

Why it matters: Pinpointing the exact step can help narrow down technical or UX issues. Expected answer: There's a specific step showing increased drop-off. Impact on approach: I'd focus my investigation on that particular step in the user journey.