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Q&A with Eric Weber on Building Better Data Products
Please add or upvote your questions in the table below. We will address some of the most popular questions during our live session and may invite you to the "stage" with us!
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What are some of the key things to consider when it comes to making data-informed product decisions?
What are some common pitfalls that you have seen for product managers you have worked with as it relates to working data for their products?
What’s your advice to deal with biases within the data? How do you develop the conviction to make decisions with limited data?
Are there any particular instances that you feel require more subjectivity than others when analyzing particular data sets / products?
How could data scientists and product managers work better together to bring out the best of this duo?
How do you usually approach the prioritization of which new data products to build and / or which to maintain?
What are some ways product managers can remain future-oriented to anticipate customer needs and collect the right data?
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