Introduction
The sudden 50% decrease in new user sign-ups for Practo's appointment booking app last week is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product's user journey and metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose a comprehensive 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: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, a new UI was rolled out. Impact on approach: If yes, we'd focus on the changes; if no, we'd look at external factors or gradual issues that reached a tipping point.
Why it matters: Helps identify if it's a global issue or specific to certain users. Expected answer: The decrease is more pronounced in first-time users. Impact on approach: If segmented, we'd focus on that specific user group; if uniform, we'd look at broader, system-wide issues.
Why it matters: Ensures we're not chasing a phantom problem due to data discrepancies. Expected answer: No changes to analytics, but a new onboarding flow was implemented. Impact on approach: If analytics changed, we'd validate data first; if not, we'd investigate product changes.
Why it matters: External factors can sometimes explain internal metrics. Expected answer: No major competitor moves, but a government health initiative was announced. Impact on approach: If yes, we'd factor in market dynamics; if no, we'd focus more on internal factors.
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