Amanda White

Employing the wrong metrics for the wrong purpose can be misleading. Here, we differentiate between six common types of metrics that PMs often confuse.

There are differences between working on a traditional software product and one that incorporates data science. Successfully folding data science into a product team is a little like hunting a bear.

The Scaled Agile Framework (SAFe) has become near-ubiquitous in large organizations, but lean practitioners often struggle with bureaucracy. Here is advice on how to work within SAFe.

When building enterprise software, looking at user adoption from two perspectives helps ensure stakeholder buy-in and happy users.

We can still write valuable stories—we just have to reframe our idea of user value. And that means redefining our idea of a user.

Why the question "What do you love about your job?" is the best way to kick off a user interview.

Defining success metrics can be daunting for even experienced product managers. This post explains how one simple question ("How do we know we did a good thing?") can help you create better metrics.

If a story is a placeholder for a conversation, when does that conversation happen? Who has it? What do they talk about? Here are five moments engineering and product should be checking in with each.

Amanda White on approaches that work well for getting buy-in from people who are particularly risk-averse.