In product management, time is a luxury. A typical week can easily be eaten up by road mapping sessions, stand-ups, research, marketing meetings, and

Analytics in natural language

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2024-04-22 15:30:08

In product management, time is a luxury. A typical week can easily be eaten up by road mapping sessions, stand-ups, research, marketing meetings, and all the things needed to get a product developed and into production. 

On top of all of that, all those decisions usually come with the requirement that they are data-driven or data-informed. That used to mean either doing the work themselves or getting an analyst to understand what’s going on and producing the metrics from there. Both are time-consuming and resource-intensive.

With AI data visualization tools, though, product managers don’t necessarily need to do that. They can ask questions about their data directly and, with a few thought-out prompts, get to some of their core product metrics quickly and accurately. 

Here are some data visualization examples of common product metrics, and how AI data visualization tools like Patterns can remove the friction between your workflow and the insights needed to keep it going. 

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