Introduction
The sudden 30% drop in concurrent viewers for a major streaming client on Conviva's Experience Insights dashboard is a critical issue that demands immediate attention. This significant decline in viewership over the past week could have far-reaching implications for our client's business and our partnership. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.
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, there was a major UI overhaul. Impact on approach: If confirmed, we'd focus on UI-related issues first.
Why it matters: Technical problems can cause immediate, large-scale viewer loss. Expected answer: No major outages, but some intermittent buffering issues. Impact on approach: We'd prioritize investigating the buffering problems.
Why it matters: External events can significantly impact viewership. Expected answer: A new streaming service launched with exclusive content. Impact on approach: We'd need to consider content strategy and competitive positioning.
Why it matters: Metric definition changes can lead to false alarms. Expected answer: No changes to the measurement system. Impact on approach: We'd focus on actual viewership changes rather than measurement issues.
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