Asking for Feedback as a Data Scientist Individual Contributor | by Jose Parreño | Sep, 2024

Receive clear and useful feedback. Ditch generic questions. More than 60 example questions for you to use.

Photo by Marsha Reid on Unsplash

Asking for feedback can be difficult, or even intimidating. There are so many factors that could influence how you ask for feedback: company culture, personal fears, an uninvolved manager, past feedback being useless, etc…

While these might be true, they shouldn’t deter you from asking feedback. As a person who leads teams, I have to provide tons of feedback, both on a regular basis but also in every performance review. In a previous post, I describe how I provide feedback using the SBIN framework. I want to lean on this framework to also provide you with a set of template/guidance questions which will help you target your feedback, and in return, get a higher quality response.

PS 1: Whilst the title of the blog post is targeting individual contributors, Data Science managers may find the content valuable to pass on to their teams.

PS 2: The inspiration for this post came from working together with Stefano Franco. Very thoughtful team lead in helping others through developing standard team tooling.

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