Introduction
Thinkific's course completion rate drop of 15% for courses using the Assignments feature is a critical issue that demands immediate attention. This decline not only affects user satisfaction but also impacts the platform's core value proposition of effective online learning. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term 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 experience and completion rates. Expected answer: Yes, there was an update to the UI of the Assignments feature. Impact on approach: If confirmed, we'd focus on the specifics of the update and its potential effects.
Why it matters: Uneven distribution could point to specific user groups or course types being disproportionately affected. Expected answer: The drop is more pronounced in certain course categories or user groups. Impact on approach: We'd prioritize investigating those specific segments for targeted solutions.
Why it matters: Changes in measurement could lead to false perceptions of decreased completion rates. Expected answer: No changes in measurement methodology. Impact on approach: If confirmed, we'd focus on actual user behavior rather than data collection issues.
Why it matters: External market forces could be influencing user behavior across platforms. Expected answer: No major market shifts, but some competitors have launched new features. Impact on approach: We'd need to consider competitive analysis in our solution development.
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