Introduction
The sudden 30% drop in daily active users for LinkAja's bill payment feature over the past week is a critical issue that demands immediate attention. This analysis will systematically investigate potential root causes, generate data-driven hypotheses, and propose actionable solutions to address the decline and prevent future occurrences.
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 could directly impact user behavior. Expected answer: Yes, a minor UI update was implemented. Impact on approach: If confirmed, we'd prioritize investigating the UI change's impact.
Why it matters: Helps identify if the issue is global or specific to certain users. Expected answer: The decline is more pronounced among older users. Impact on approach: We'd focus on understanding the needs and challenges of older users.
Why it matters: External factors could explain the rapid decline. Expected answer: No major external changes noted. Impact on approach: We'd shift focus to internal factors if external influences are ruled out.
Why it matters: Technical problems could directly cause usage drops. Expected answer: Some intermittent slowdowns were reported. Impact on approach: We'd prioritize investigating and resolving technical issues.
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