The purpose of this list is to provide you with contextual information about why user research is important, and what the common techniques to do that are. By the end of this list, you should be able to have plan to identify your users, find ways to access them, and actually carry out interviews with them
Potential Use Cases
product development, user research, design thinking
Who is this for ?
BEGINNERany ml practitioner interested in proactively identifying the problems they should work on and building a narrative about why they want to work on those
Click on each of the following annotated items to see details.
ARTICLE 1. Human-Centered Machine Learning
How to stay focused on users when designing ML products?
why can't ML figure out if you're solving the right problem?
why using ML does not necessarily provide a unique solution to the problem?
what are the specific techniques to iteratively move towards a good solution?
ARTICLE 2. The “Why” Behind Qualitative User Research
what is qualitative user research?
when to perform qualitative user research?
what methods you can use for qualitative user research?
WRITEUP 3. Technique for finding your "first" users for user research
How to find your "first" users for user research?
ARTICLE 4. What to do when you can't find users to talk to?
how to carry out user research without actually talking to users?
ARTICLE 5. Quantitative User-Research Methodologies: An Overview
What are the common methods used for quantitative user research?
ARTICLE 6. AI and Design: Putting People First
why is it important to think about humans when designing AI products?