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Company focus

Bird

Why has Bird's subscription service "Bird One" experienced a 15% decline in new sign-ups during the past two weeks?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving Strategic Thinking Transportation Sharing Economy Urban Mobility Data Analysis Product Metrics User Acquisition Root Cause Analysis Micro-Mobility
Product Management Root Cause Analysis Question: Investigating Bird scooter subscription decline

Introduction

Bird's "Bird One" subscription service has experienced a 15% decline in new sign-ups over the past two weeks, raising concerns about the product's performance and user acquisition strategy. To address this issue, I'll conduct a systematic analysis to identify potential root causes, validate hypotheses, and develop both short-term and long-term solutions.

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 be a seasonal factor. Has Bird One historically experienced fluctuations in sign-ups during this time of year?

Why it matters: Seasonal trends could explain the decline and inform our solution approach. Expected answer: No significant seasonal patterns have been observed in the past. Impact on approach: If seasonal, we'd focus on strategies to counteract the trend; if not, we'd investigate other factors.

  • Considering recent changes, I'm curious about any product updates or marketing shifts. Have there been any significant changes to Bird One's features, pricing, or promotion in the last month?

Why it matters: Recent changes could directly impact user acquisition. Expected answer: A minor UI update was rolled out three weeks ago. Impact on approach: If changes occurred, we'd investigate their potential impact; if not, we'd look at external factors or underlying issues.

  • Thinking about user segments, I'm wondering if the decline is uniform across all user groups. Do we have data on which user segments (e.g., age, location, usage frequency) are most affected by this decline?

Why it matters: Identifying affected segments helps target our investigation and solutions. Expected answer: The decline is more pronounced among urban users aged 25-34. Impact on approach: Segment-specific data would guide our hypothesis formation and solution design.

  • Considering competitive landscape, I'm curious about market dynamics. Have there been any notable competitor actions or new entrants in the micro-mobility space recently?

Why it matters: Competitive pressures could explain the decline in sign-ups. Expected answer: A new competitor launched an aggressive promotion two weeks ago. Impact on approach: If competition is a factor, we'd focus on differentiation and value proposition; if not, we'd look more closely at internal factors.

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Updated Jan 22, 2025