Data Science in the Balanced Team

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Data Science in the Balanced Team Ian Huston

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Who am I? Data Scientist at Pivotal Labs @ianhuston http://www.ianhuston.net Started working with data as an academic...

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Balanced Team Shared Responsibility Act in service to the team Each role has obligations and an authority No more hero designer or PM as CEO More: Janice Fraser video http://tinyurl.com/jfraser http://www.slideshare.net/clevergirl/2015-balanced-teams-product-management-engineering

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Design in a Balanced Team “Empathizer-in-Chief” Obligations to the Team 1. Understand the customer at an expert level 2. Translate high-value needs into product 3. Hone your craft 4. Facilitate balance within the team One Important Authority Prioritize customer problems http://www.slideshare.net/clevergirl/2015-balanced-teams-product-management-engineering

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“[Y]ou need data thinking to be part of the culture and top of mind, not an after-thought.” https://medium.com/art-marketing/data-literacy-product-design-and-the-many-faced-god-cf8339e035a#.i8ry0xhqv

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Things that worked

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User Research + Data Exploration

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Enabling PM to understand DS

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Involving the whole team in data science process

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Data Science + Dev pairing

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Things that did not work

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Single Dev + DS backlog

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Arriving late to a project

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Being part of multiple teams

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Being (seen as) the magic bullet

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Data Science in the Balanced Team “The Voice of Data” Obligations 1. Provide deep understanding about the available data and identify potential valuable uses/techniques. 2. Guard against unjustified, unethical or inappropriate uses of data. 3. Begin and continue collection of data to support future product goals. 4. Facilitate balance in the team. One Important Authority Bring data to every product conversation

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Data Science in the Balanced Team Make data a central part of the product conversation. Provide data insights and possibilities in service to the team. Break down walls between data scientists and designers & developers. Data Science @ianhuston