Why the Illusion of Control Is Hurting Your Goals
Nir Eyal
MAY 9, 2021
The post Why the Illusion of Control Is Hurting Your Goals appeared first on Nir and Far.
Sun.May 09, 2021
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The Speed Of The Team
The Product Coalition
MAY 9, 2021
How To Use Normalized Velocity As A Starting Point Continue reading on Product Coalition ».
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The two key types of product risk and how to manage them
Bryce York
MAY 9, 2021
Hard to read? Find the same content below. Like what you see? Product snacks delivered fresh to your inbox. Get bite-sized visual articles like this one delivered straight to your inbox. Send me product content. In product, we encounter many types of risks, and managing them is one of our most important tasks. While there are many different risks to consider, they’re going to fall into two essential categories when deciding how to manage them.
How to Build a Roadmap for an Ultra Agile Team
The Product Coalition
MAY 9, 2021
When I talk about roadmaps with younger product leaders, I often hear things like “we don’t need one, we are agile” or “why build a roadmap when things will surely change”. This couldn’t be farther from the truth. The roadmap sets the strategic direction of the company, and when built right it also doesn’t have to change that frequently, despite your agility.
Get Better Network Graphs & Save Analysts Time
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Beware Overfitting Your Product Solutions
Bryce York
MAY 9, 2021
Hard to read? Find the same content below. Like what you see? Product snacks delivered fresh to your inbox. Get bite-sized visual articles like this one delivered straight to your inbox. Send me product content. Another data science concept that I find applies to product management is “overfitting”. A common trap in both data science and product management but data scientists hear about it all the time and are constantly reminded to avoid the pitfall.
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