Log in or create a free Rosenverse account to watch this video.
Log in Create free account100s of community videos are available to free members. Conference talks are generally available to Gold members.
Summary
As a first approximation, many designers describe what they do as "problem-solving." This frame arose in the context of the industrial revolution, in early days of professional design. "Problem-solving" casts designers as objective experts, delivering the right answer. However, reality is messy; many answers might suffice — or none. "Problems" are not separate and clearly bounded; rather, they are deeply intertwined. As the information revolution increases scale and shifts the focus of designing to complex adaptive systems, problem-solving increasingly misses the mark; design needs a new frame.
Key Insights
-
•
Design’s traditional framing as problem solving, rooted in industrial manufacturing, is outdated for current digital, AI-driven systems.
-
•
Modern design is about creating conditions for systems to grow, learn, and adapt rather than delivering a finished solution.
-
•
Wicked problems are better understood as ongoing messes or tangles without fixed solutions or consensus frames.
-
•
Technological advances such as sensors, cloud computing, smart connected products, AI, and digital twins enable new forms of continuous system management.
-
•
Digital twins serve as dynamic, scalable replicas of objects or systems facilitating real-time monitoring, control, experimentation, and adaptation.
-
•
Organizations are evolving along a learning curve from data aware to autonomous, self-driving entities that optimize and automate operations.
-
•
Design roles are shifting from experts and solvers to facilitators and collaborators, enabling decentralized design and meta-design.
-
•
Systems design requires balancing fast-changing layers (commerce, technology) with slow layers (culture, nature), as per Stuart Brand’s pace layers concept.
-
•
Designers now must work with complexity, uncertainty, and ongoing evolution, supporting good-enough solutions and adaptability over perfection.
-
•
The interplay of humans and AI-driven systems raises ethical, political, and governance issues demanding stewardship rather than pure problem solving.
Notable Quotes
"Designers often describe what we do as problem solving and I think that’s fine but it’s tied to a 19th century manufacturing metaphor."
"You don’t think of raising a child as solving a problem; it’s an ongoing process—and that’s how we should see design today."
"Wicked problems have shifting definitions and you can’t really call them problems—they are messes or tangles."
"Every 10 to 15 years a new wave of technology transforms business—now it’s AI powered by massive data and digital twins."
"Digital twins can empower individuals and manage entire populations simultaneously—it’s about small scale and large scale replication."
"The future of design is complexity and computation—moving from objects to complex adaptive systems."
"Designers are no longer central planners but participants, facilitators creating conditions for systems to thrive and adapt."
"Corporations are already largely self-driving, often in a bad way, running on autopilot by virtue of policies."
"Design is not a purely scientific or objective activity, it’s firmly within the realm of politics and values."
"Steve Jobs said design is the fundamental soul of a man-made creation, not just veneer or decoration."
Or choose a question:
More Videos
"If designers spend more time talking about titles than their work, we’re just gazing into our navels."
Adam Cutler Karen Pascoe Ian Swinson Susan WorthmanDiscussion
June 8, 2016
"Playing politics in UX leadership is about maximizing relationships ethically to advance your agenda, not about being underhanded."
Peter MerholzThe Trials and Tribulations of Directors of UX (Videoconference)
July 13, 2023
"If you don’t tune it properly, sometimes you just don’t get what you want."
Lisa WelchmanCleaning Up Our Mess: Digital Governance for Designers
June 14, 2018
"Sustainable practices are not just a luxury; they are a necessity for our survival."
Vincent BrathwaiteOpener: Past, Present, and Future—Closing the Racial Divide in Design Teams
October 22, 2020
"Engineers can be our biggest allies in making really important process changes."
Brenna FallonLearning Over Outcomes
October 24, 2019
"Thick data is the opposite of big data; it’s stories, qualitative, and crucial during moments of rapid change."
Tricia WangSpatial Collapse: Designing for Emergent Culture
January 8, 2024
"We used a Python algorithm with a correlation matrix to identify meaningful clusters from survey responses."
Edgar Anzaldua MorenoUsing Research to Determine Unique Value Proposition
March 11, 2021
"We want to build teams with diverse skill sets so we can create a full picture during the knowledge creation phase."
Designing Systems at Scale
November 7, 2018
"Randomization is magic — it evenly distributes confounds so the only difference affecting results is your change."
Erin WeigelGet Your Whole Team Testing to Design for Impact
July 24, 2024