Machine Learning Product Design

 



Background

Set the scene for what we're trying to do through a user-centric approach:

  • users: profile/persona of our users
  • goals: our users' main goals
  • pains: obstacles preventing our users from achieving their goals

Value proposition

Propose the value we can create through a product-centric approach:

  • product: what needs to be built to help our users reach their goals?
  • alleviates: how will the product reduce pains?
  • advantages: how will the product create gains?

Objectives

Breakdown the product into key objectives that we want to focus on.


Solution

Describe the solution required to meet our objectives, including its:

  • core features: key features that will be developed.
  • integration: how the product will integrate with other services.
  • alternatives: alternative solutions that we should considered.
  • constraints: limitations that we need to be aware of.
  • out-of-scope.: features that we will not be developing for now.

Feasibility

How feasible is our solution and do we have the required resources to deliver it (data, $, team, etc.)?



source: https://madewithml.com/courses/mlops/product-design/

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