How to Ask the Right Questions As a Data Scientist?
CoNVO framework to structure and systematize our thoughts
“The only true wisdom is in knowing that you know nothing.“ — Socrates
Background
Have you ever thought about how to pose the right questions while working on a data science project? I got this question after joining my current company, where I closely work with about 25 data scientists. I have noticed that some really great data scientists, apart from having strong “hard-skills”, are also good at asking questions. These great data scientists tend to attend to the problem of why and so what before diving into how. That is why I decided to learn the skill and share it with those, who might find it helpful as well.
This blog post explains a tool on how to scope a project using a framework from social science named CoNVO, which helps to structure and systematize our thoughts. Structure gives us room to think through all the aspects of a problem and come up with knowledge and interesting insights from data.
What is CoNVO?
All stories have a structure, and project scope is no different. Like in a story, a project has an exposition (context), some conflict (need), a resolution (vision), and hopefully the happy ending (outcome). Let us dive into the storytelling…
