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Agile Transformation
JUN 24

Should you really be using machine learning?

Used properly and in the right place, Machine Learning (ML) is an incredible tool to bring value to your product and your users. But how can you use the five product risks—value, usability, feasibility, viability, and ethics—to know if the opportunity is right for ML? Andy Kelly on Unsplash Whether it’s checking your online transaction for fraud

Chris Wade
- 7 min read
Building Product Teams
DEC 7

The 3 indicators of an outcome-driven product organisation

These days, everyone wants to work in an outcome-driven product organization. Here, Becky Flint shares some of the main signs that an organization is actually outcome-driven.

Becky Flint
- 5 min read
Building Product Teams
OCT 26

Advice from product leaders: Five ways product and design can collaborate effectively

Here are five ways product and design can forge a strong partnership, as told by members of the product management and design team at Def Method.

Aleeza Schoenberg
- 7 min read
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The product experience

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