Product managers working with data science teams on production applications have more challenges than with more deterministic (traditional) applications. These include providing more business/user context, not assuming that data will be predictive, and discussing accuracy requirements at the very start of a project.
My team says that my stories are too short, insufficient. Except when they say I’m long-winded, overspecifying HOW instead of WHAT. What’s really happening? Thoughts on engaging with our teams to unpack issues and work better together.
Stone soup is a folk tale about motivation and cooperation. It applies directly to our work as product managers, since we don’t have the authority to force cooperation or alignment. We have to provide leadership, motivation, and clarity of goals.