Introduction
WhatsApp call drops affecting 30% of users after 2 minutes is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term implications for the product.
I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into the product's user journey, metrics, and potential internal causes. We'll generate data-driven hypotheses, conduct root cause analysis, and propose 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: Helps determine if it's a new problem or an ongoing issue we've overlooked. Expected answer: It's a recent spike in the last week. Impact on approach: A sudden spike would point towards recent changes or external factors.
Why it matters: Identifies if it's a universal problem or affects certain user segments more. Expected answer: It's more prevalent among users in developing countries. Impact on approach: Would focus our investigation on region-specific factors or infrastructure issues.
Why it matters: Could pinpoint if a recent change is the culprit. Expected answer: Yes, there was a backend update to improve call quality. Impact on approach: Would prioritize investigating the impact of this recent update.
Why it matters: Helps narrow down if it's a general calling issue or specific to one call type. Expected answer: It's primarily affecting voice calls. Impact on approach: Would focus on voice call infrastructure and codecs.
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