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Building an Efficient Release Management Process

Split

A streamlined release management process is imperative for mitigating deployment risks and accelerating software delivery. By optimizing release management flows, teams can facilitate on-demand deployments that enhance business agility without compromising stability. What is the Release Management Process Flow?

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Become a Product Visionary with Alternative Futures Analysis

The Product Coalition

Netflix took note of changes in consumer behavior, the creation of new distribution models, and rapid increases in network speeds that would eventually unlock streaming. Alternative futures analysis is a structured analytic technique that helps teams predict how the future might unfold. Copy them and place one copy in each theme.

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First, Do No Harm by Mariah Hay

Mind the Product

the professional realm, groups have been crafting their own ethical codes since the 5th century. And while the medical profession pioneered the concept of professional ethics, other industries have also developed ethical codes. Engineering has developed a strict code of ethics that they are expected to adhere to in practice.

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14 Corporate Forces Affecting New Products & Ventures

The Product Coalition

Big companies will bring the latest in new venture frameworks research, they’ll have excellent trainers involved, and they’ll tap people that have done it before. Corporate forces deserve just as much attention and diligence as you would take to developing a Value Proposition or a Business Model.

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How to Keep on top of Trends that Matter to Product Managers

Department of Product

Or how about telling the execs at Microsoft Office that their model of selling physical boxes of Office software is a one way ticket to death by Google Workspace? The types of trends that matter to product teams So if we agree that staying on top of trends matters, the question then is, what types of trends should we bother staying on top of?

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What Does a Data Scientist Do?

PMLesson's Ace the PM Interview

For example, a company like Amazon collects an enormous amount of customer data. Whether that be location data, sales data, or the like, Amazon would have their data scientists collect, organize, clean, and analyze all this customer data to better understand a customer's buying habits and purchasing preferences.