Introduction
The recent 25% decline in completion rates for Multiverse's software engineering bootcamp is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the program's success.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product, user journey, and metrics. From there, I'll generate data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps pinpoint potential triggers and narrows the investigation timeframe. Expected answer: Within the last quarter. Impact on approach: Recent changes would be prioritized in the analysis.
Why it matters: Identifies whether the issue is systemic or specific to certain groups. Expected answer: Higher dropout rates among part-time students. Impact on approach: Would focus on factors affecting part-time students' ability to complete the program.
Why it matters: Curriculum changes could directly impact student engagement and completion rates. Expected answer: A new module on cloud computing was added recently. Impact on approach: Would investigate the implementation and reception of the new module.
Why it matters: External market forces could influence students' motivation to complete the program. Expected answer: No major changes in the job market. Impact on approach: Would focus more on internal factors if the job market remains stable.
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