This article nails the balance between structure and flexibility in tackling open-ended data questions. The hypothesis tree framework is super practical, and the detective analogy keeps it relatable and fun. The YouTube case study is a solid example that brings the process to life without overcomplicating it.

What stands out is the emphasis on QAing data and communicating insights—it’s a great reminder that good analysis isn’t just about numbers, but also about telling the story behind them. Overall, it’s clear, useful, and easy to follow. Great job! Thanks for sharing!