Analytics UX
Cohort-based Course
How to make data-driven software effective for users, for technologists of all types
Analytics UX
Cohort-based Course
How to make data-driven software effective for users, for technologists of all types
Course overview
Make your data-driven software more useful
Data surrounds us everywhere, often overloading us. As a result, processing the data and presenting it--like with data visualizations and recommendations from artificial intelligence (AI)--can make products more useful. However, they also make creating the products more difficult. In particular, there are newer types of risks in creating such software systems, such as when and how to automate them, how to present their results to users, and what to do when they get something wrong.
Therefore, I will teach theory-driven best practices behind the user-centric creation of data-driven software systems.
This will include enumerating users' problems, needs, and desires into personas, based on the cognitive psychology behind it, and how it can be used in tech startups and larger companies.
Then I'll cover how to apply the theory behind iterative, risk-driven product development across your product development processes and how it can be used in tech startups and larger companies.
Finally, I'll cover how to make decisions between these tradeoffs and how to communicate them to other people so they understand and value them, including coworkers, bosses, and investors.
Who is this course for
01
User-centric product researchers and designers who are frustrated at not being paid attention to by coworkers in other disciplines
02
Data scientists, engineers, and modelers who are sick of pushing out data-driven products without knowing if they are needed or desired
03
R&D scientists and engineers who are interested in commercializing their data-driven software ideas into products and broader markets
What you’ll get out of this course
How to establish a solid foundation for product development by integrating lean user research with other tradeoffs of your product
Analyzing and synthesizing competing requirements and impacts of your team’s product, including the needs and desires of users you may not have access to. Then using this data to determine what to build and how to measure its success.
How to drive iterative product development with user research
Building clear and useful user personas, UX designs, and/or prototypes so you can recommend new features or improvements to your data-driven software development team.
How to drive product decisions with information and communicate it across disciplines
Convincing diverse stakeholders to value users so you can produce a product that they actually value and use.
What people are saying
John Yen
Ross Green
Meet your instructor
Bob Stark
Bob Stark
Bob has spent his entire career researching and practicing methods involved in the creation of data analytics software for the benefit of the users.
He started in government research and development (R&D), where he used AI and data visualizations to design, prototype, and deliver tools to assist decision-making in intelligence analysis and mission planning.
He then moved on to startups in the San Francisco Bay Area to learn how to transfer his ideas as commercial products.
Most recently, he focuses his full attention on his own R&D lab, Datagotchi Labs, synthesizing these ideas and applying them to wicked social problems like news reliability and job market fairness.
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Analytics UX
Course schedule
4-6 hours per week
Tuesdays & Thursdays
6pm - 7pm PST
Online via Maven, and recorded for those who can't make the session.
Weekly projects
2 hours per week
Projects will be assigned every week so you can make artifacts such as research plans, models of results and tradeoffs, and presentations
Office Hours & Coworking Sessions: every weekday evening
7-9pm PST
I will be available every evening during the week, and students can use this time to also work together on their projects.
Lean User Research for Analytics UX
As I develop the Analytics UX course, this document will be what I use for the first section of it -- lean user research to establish a solid foundation for product development.
- Don't know what your users' pain points actually are? Find out!
- Don't have direct access to your users? That's OK!
This is a detailed outline of the course section that you can use as a general guide to perform user research. Forthcoming will be additional artifacts that you can use as actual templates to perform lean user research.
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Learning is better with projects and cohorts
Project-based
You’ll learn by applying knowledge to weekly projects.
Work-centered projects
If you have relevant needs at your job, you can create project artifacts for that. Otherwise, example data will be provided.
Learn with a cohort of peers
Join a community of like-minded people who want to learn alongside you that you can meet and collaborate with in coworking sessions.
Frequently Asked Questions
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