Introduction
The recent 25% decrease in average session duration for Kahoot's corporate training quizzes is a concerning trend that requires 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 issue by first clarifying key details, ruling out external factors, and then diving deep into the product, user journey, and metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose validation methods and 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 could directly impact user engagement. Expected answer: Yes, there was a UI refresh. Impact on approach: If confirmed, I'd focus on UI/UX-related hypotheses.
Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: The decrease is more pronounced in larger enterprises. Impact on approach: I'd investigate factors specific to large enterprise environments.
Why it matters: Content changes could affect engagement time. Expected answer: No significant content changes. Impact on approach: I'd focus more on technical or user behavior hypotheses.
Why it matters: Technical issues could frustrate users and reduce session duration. Expected answer: Some intermittent performance issues reported. Impact on approach: I'd prioritize technical investigation and performance optimization.
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