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Company focus

Hero

What caused the sudden 50% decrease in new user signups for Hero's electric scooter rental app last week?

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving Strategic Thinking Mobility Transportation Sharing Economy Data Analysis User Acquisition Root Cause Analysis Mobile Apps Electric Scooters
Product Management Root Cause Analysis Question: Investigating sudden drop in electric scooter app signups

Introduction

A sudden 50% decrease in new user signups for Hero's electric scooter rental app last week is a critical issue that demands immediate attention. This significant drop in user acquisition could have far-reaching consequences for the company's growth trajectory and market position. To address this problem, 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.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

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 to the app or onboarding process in the past two weeks?

Why it matters: Recent changes could directly impact user signups. Expected answer: Yes, there was an app update last week. Impact on approach: If confirmed, we'd focus on analyzing the changes made in the update.

  • Considering user segments, I'm curious about the geographic distribution of the decline. Is the 50% decrease uniform across all markets, or are some regions more affected than others?

Why it matters: Helps identify if the issue is global or localized. Expected answer: The decrease is more pronounced in certain markets. Impact on approach: We'd prioritize investigating factors specific to the most affected regions.

  • Given the nature of electric scooter rentals, I'm wondering about seasonal trends. How does this week's signup rate compare to the same period last year?

Why it matters: Helps distinguish between seasonal fluctuations and actual problems. Expected answer: This decrease is abnormal compared to last year's data. Impact on approach: If confirmed, we'd focus on recent changes rather than cyclical factors.

  • Thinking about the user journey, I'm interested in where users are dropping off. Do we have data on which step of the signup process is seeing the highest abandonment rate?

Why it matters: Pinpoints where in the funnel the problem is occurring. Expected answer: There's a significant increase in dropoffs at a specific step. Impact on approach: We'd concentrate our efforts on optimizing that particular step in the signup process.

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Updated Jan 22, 2025