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Agile vs. Waterfall: Which Methodology is Right For Your Project?

PMLesson's Ace the PM Interview

A common question for product managers, project managers, technical program managers, and software developers alike is what methodology to use given a project. Which should you and your teams decide the utilize? Whichever methodology a team operates under will heavily influence how they work and communicate with one another.

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Intercom on Product: How ChatGPT changed everything

Intercom, Inc.

And this is why we decided to bring you a special episode about these latest developments in the world of AI, what they mean, and whether it’s time to apply it in real-life scenarios such as customer support. Des Traynor: But does that name mean anything? You said GPT: what’s that stand for? Where did it learn that?

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Best Resources for Data Folks

Iteratively Blog

As folks who constantly deal with data, finding the right resources to refer in times of need is a challenge. To solve this, we created an internal doc with the best five of every kind of resource that data folks generally refer to. Development. A large part of the reason is due to the fact that not everything is measurable.

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How to Write A Product Manager Cover Letter + Example

PMLesson's Ace the PM Interview

Quickly establish a connection to the company with their own eye-catching mission statements or strategic name-dropping via your work history. There are also some other simpler and more technical guidelines to follow: Include your contact information—your name, address, and phone number.

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Flow’s Daniel Scrivner on the brave new world of asynchronous productivity tools

Intercom, Inc.

As the CEO of Flow , a flexible project management app for teams, Daniel is working to create a productivity tool that defies conventional metrics, meaning that it simply allows you to get your most important work done without monopolizing the time you spend in the software itself. billion in 2015. How will you stand out from the pack?

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What Does a Data Scientist Do?

PMLesson's Ace the PM Interview

Many times data scientists are charged with communicating their findings with several other teams, many of whom may be as technical as they. This is often referred to by another name: data storytelling. Some data science teams may be devoted to nothing but fraud detection.

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Why There’s No Single “Right” Way to Do Discovery: Part 1

Product Talk

Teresa: For those of you that are Product Talk readers, Melissa writes our Product in Practice series where we’re sharing stories about teams doing great discovery work, so you may have seen her name there. It’s allowing each team to really find what’s going to work best for them. Tweet This.