Introduction
Facebook Dating's profile creation success rate has plummeted to 45%, signaling a critical issue in user onboarding. This analysis will systematically identify, validate, and address the root cause while considering both immediate and long-term implications for the product.
I'll approach this by first clarifying the context, then ruling out external factors before diving deep into the product journey, metric breakdown, and hypothesis generation. We'll conclude with a structured plan for validation and resolution.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Understanding the pattern helps identify if it's a sudden technical issue or a gradual user behavior shift. Expected answer: A sudden drop within the last week. Impact on approach: A sudden drop would prioritize recent changes or technical issues.
Why it matters: Segmentation could reveal targeted issues or changing preferences among specific user groups. Expected answer: The drop is more significant among users aged 18-24 in urban areas. Impact on approach: This would focus our investigation on factors affecting younger urban users.
Why it matters: Recent changes could directly impact user experience and success rates. Expected answer: A minor UI update was rolled out two weeks ago. Impact on approach: This would prompt a deeper look into the impact of these specific UI changes.
Why it matters: Technical issues could be preventing users from completing profile creation. Expected answer: No significant performance issues reported. Impact on approach: This would shift focus away from technical infrastructure and more towards user experience or product design.
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