Introduction
The sudden 30% increase in customer support tickets related to Lulalend's mobile 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 fixes and long-term implications for our product strategy.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into our product ecosystem. We'll break down the metric, gather relevant data, form hypotheses, and conduct a thorough root cause analysis. Finally, we'll develop a comprehensive plan to validate our findings and implement solutions.
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 support ticket spikes. Expected answer: Yes, there was an update. Impact on approach: If yes, we'll focus on changes in that update.
Why it matters: Helps narrow down the problem area. Expected answer: Tickets are concentrated on a particular feature. Impact on approach: We'll dive deeper into that specific feature.
Why it matters: Identifies if the issue is global or segment-specific. Expected answer: The increase is more significant in a specific user segment. Impact on approach: We'll tailor our investigation to that segment's characteristics.
Why it matters: Rules out external influences. Expected answer: No significant external events noted. Impact on approach: We'll focus more on internal factors if external events are ruled out.
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