Amy Lin offers practical advice for product managers who struggle to incorporate data analysis into their product management toolkit.
Data is such an integral part of a product manager’s daily job. It backs you up when you suggest an approach and helps you prioritize by validating or invalidating a “gut feeling” so your initiatives are based on more than just hunches; data also helps you evaluate if a feature should be rolled out to general release.
However, data can be biased and sometimes even misleading. This article aims to help you understand what to consider when you’re examining numbers with the objective of using data to arrive at fair, unbiased insights. Throughout the article, I’ll also cite a few examples that show how and where you can potentially find data (note, though, that organizations treat the usage of data differently). …
As another year draws to a close, we look back at the articles that we published to answer the community’s questions in 2019. Looking for advice from Women in Product? We’re accepting questions for 2020.
This year’s Top 5 questions show that, while women in PM roles continue to grapple with imposter syndrome, we are also focused on career growth and continuous learning.
Do you ever feel like you’re in way over your head and you’re not quite sure if you even have the essential skills that a good PM needs? When imposter syndrome gets the better of you, the tactics in this post offer a way to work past the doubts that are holding you back. …
The more senior you are, the greater is the likelihood that your work involves more than delivering working code. In this post, Lisa Wagner explains how she measures and celebrates the intangible wins.
This week’s question: As a PM without working code as a deliverable, where do you find pride in what you do? When what you’re producing is less tangible, where do you find your wins and feel like you’re succeeding?
The work of a product manager is more than just delivering working code. In fact, the more senior your role is, the more likely it is that you won’t have any code-related deliverables at all. …