Product Management with a Data Science Mindset.

I think of a data-based product as a processing pipeline. Lots of cleaning, transformation, processing, calculating, and so forth happens before you get the output. Image from https://www.clipartmax.com
Figure 2. Top: The team needs to know the properties of the input data and the KPISs of the pipeline output. Middle: The output needs to be traceable to all the processes that impacted the output. Especially when there is an issue. Bottom: Each process is a system on its own. Raw data and stats can be gathered on each one.

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Tyna Hope

Tyna Hope

An ML product manager. Bio on LinkedIn. Opinions expressed are my own.