I’ve spent years doing design studies and teaching others how to do them.
A design study is a problem-driven research process in
data visualization: you work with real stakeholders to understand their
problems and needs, translate those into requirements, ideate and prototype
solutions, move through iterative design and evaluation,
and ultimately deliver something useful.
In other words, it’s UX research and design in the world of data visualization.
I’ve conducted them, studied and refined the process, and guided hundreds
of students through 100+ real-world projects with real stakeholders and
real stakes. Along the way, I developed the award-winning
Design Study “Lite” Methodology (DSLM), a framework
designed to make something notoriously difficult possible within the
constraints of a classroom: enabling novice students to conduct
end-to-end design studies with real organizations.
Students weren’t practicing on hypothetical briefs. They worked with
real stakeholders, navigated ambiguous needs and imperfect data,
made research and design decisions, iterated on feedback, and delivered
visualization solutions organizations could actually use. Many collaborators
were nonprofits and community organizations that might otherwise have had
limited access to this kind of visualization work.
The impact worked in both directions: organizations received
no-cost visualization solutions supporting real needs,
while students gained hands-on professional experience that is difficult
to recreate inside a classroom.
What began as a research framework became a way to connect education,
real-world practice, and social impact at scale.