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Product Management Analytics Question: Evaluating share button engagement with data science approach
Image of author vinay

Vinay

Updated Nov 15, 2024

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Asked at Meta

12 mins

Product Manager comes to me (Data Scientist) and tells me that the "share" button feature is not improving engagement. Let's take it out. What would you, as a Data Scientist, evaluate that feature?

Data Analysis Hypothesis Testing Product Strategy Social Media SaaS Content Platforms
User Engagement Product Analytics A/B Testing Data Science Feature Evaluation

Introduction

The "share" button feature's lack of engagement improvement presents a complex product challenge. As a Data Scientist, I'll approach this systematically, focusing on identifying the root cause, validating hypotheses, and developing data-driven solutions. My analysis will cover issue identification, hypothesis generation, validation, and solution development, balancing immediate fixes with long-term strategic considerations.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • What specific metrics are we using to measure engagement?

  • How long has the share button been implemented?

  • Are there any specific user segments showing different behavior?

  • Have there been any recent changes to the feature or surrounding UI?

  • What's the current placement and design of the share button?

  • How does our share feature compare to industry standards?

Why these questions matter: They provide crucial context about the feature's performance, implementation, and user interaction.

Hypothetical answers:

  • Engagement measured by click-through rate and shares per active user
  • Share button implemented 6 months ago
  • No significant difference across user segments
  • Minor UI update 2 weeks ago
  • Button prominently placed but not intrusive
  • Similar to industry standards in functionality

Impact: These answers would guide our investigation towards recent changes, overall design, and industry benchmarks.

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