Introduction
The sudden 50% increase in buffering issues during prime-time viewing hours on Hotstar presents a critical challenge that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
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 pinpoint whether it's a general capacity problem or tied to specific events or content. Expected answer: Consistent across prime-time hours. Impact on approach: If consistent, we'd focus on overall capacity; if specific, we'd investigate particular shows or events.
Why it matters: Recent changes often correlate with sudden performance shifts. Expected answer: A new popular series was launched. Impact on approach: If yes, we'd scrutinize the impact of new content or features; if no, we'd look more at external factors or gradual changes.
Why it matters: Segmentation can reveal if the issue is universal or specific to certain user groups. Expected answer: More prevalent on mobile devices in urban areas. Impact on approach: This would guide our focus on specific infrastructure or app optimizations.
Why it matters: Ensures we're not dealing with a measurement anomaly rather than an actual performance issue. Expected answer: No recent changes to measurement systems. Impact on approach: If changed, we'd need to validate the new measurement system; if not, we can focus on actual performance issues.
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