Good AI starts with Good Data: Running a Data Design Sprint with your Team.

 By Medium - 2020-12-15

Description

The tech giants — Amazon, Microsoft, Google, Uber, Facebook — all spend millions of dollars on AI solutions. Yet, many end in failure:

Summary

  • As an AI PM, I created the Data Sprint to shortcut the endless debate and compress months of work into a single hour.
  • Define the prediction problem (20m) Brainstorm the inputs and theme (10m) Brainstorm possible bias outcomes of each input feature (10m) Summarize, Capture & Share (10m) As you explain this process to your team, you need to stress the fundamental philosophy of product development: Organize inputs under a theme if possible (e.g., gender, age, city, would all fall under a demographic theme) Organize the inputs from ascending order, top voted inputs are at the top of the list.
  • Using each input theme, start a new column and ask your team to think about the consequences that including or excluding these inputs could possibly result in.

 

Topics

  1. Management (0.45)
  2. UX (0.12)
  3. Backend (0.09)

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