Thoughts and insights on technology, product management, personal finance, and the journey of continuous learning.
Showing 7 of 16 posts
Prototyping has long been a core practice in product development, with multiple prototype types serving different discovery needs. Historically, the costs and tradeoffs of these prototypes were stable for decades—until the recent emergence of **gen-AI–powered prototyping tools**
After a product strategy has focused the organization on the right problems, identified key insights, and translated them into clear objectives for product teams, leaders might feel the hard work is done. In reality, this is only the beginning.
Product management has never attracted more interest—or generated more confusion. While there is an abundance of content aimed at aspiring product managers, much of it is contradictory, leading newcomers to frustration and misunderstanding about the true nature of the role.
Continuing with the series on product strategy, this article focuses on how to **leverage insights into action**.
AI-First means massive automation, rapid iteration, and workforce transformation requiring AI literacy.
One of the most important—and most difficult—elements of product strategy is the ability to **generate, recognize, and leverage insights**. These insights form the foundation of effective product strategies and are often what differentiate high-growth product companies from those that stagnate.
Empowered product teams are about giving teams **hard problems to solve** and the **space to solve them**. The critical question then becomes: *which problems should they solve?* Answering this question is the essence of **product strategy**.