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Is Your Data Biased? How To Overcome Survivorship Bias

Written by @eduardomignot | Published on 2021/2/14

TL;DR
This article is part of a series about defeating bias as a Product Manager. We study the Survivorship bias — the danger to concentrate your data analysis solely on existing power users. The survivorship bias happens in Product Management when you concentrate your user research, testing, and analytics on users who are the most active (power users) The power users tend to be more positive about your products, they are easier to reach, and they are more visible. In the Enterprise app, the PMs are only looking at the bottom of the 3-user-based product and adopting the product as the bottom-usering product.

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Written by
@eduardomignot
I enjoy learning and sharing about Product, Agile methodologies & Scrum. Currently working as a PM.

Topics and
tags
product-management|product-manager|data|data-analysis|prioritization|bias|cognitive-bias|cognitive-psychology
This story on HackerNoon has a decentralized backup on Sia.
Transaction ID: RpzA40MtFvA89aOBuiYGUT3UMf0FI-EJX91-LgXTJ7o