Prototyping

From The Foundation for Best Practices in Machine Learning

Prototyping

Control

1: Focus on quick and minimum viable prototypes that offer enough tangibility to find out whether they solve the initial problem or answer the initial question. Document how test participants react and what assumptions they make when they "use" your mockup.

2: Design a so-called 'Wizard of Oz' test; have participants interact with what they believe to be an autonomous system, but which is actually being controlled by a human (usually a team member).


Aim

To gain early feedback (without having to actually have build an ML product) needed to (a) adjust or pivot your Products(s) and/or Model(s) thus ensuring business viability; and/or (b) assess the cost and benefits of potential features with more validity than using dummy examples or conceptual descriptions.


Additional Information