Emerging principles for using AI in Design: What the product design team at Miro has learned from deeply integrating AI in their workflow
This video is featured in the AI and UX playlist.
Summary
All of us are experimenting with using AI in our daily work. It is difficult to write prompts, the first output is never right, AI outputs can feel quite shallow, and then there is inertia. We get it, we all yearn for familiarity in our tools and processes – but the reality is that AI is rapidly changing how design gets done. In this interactive session, design and product leaders from Miro will share their real world boards and examples of how they have been using AI. We will cover all stages of the design process – from discovery and roadmapping to design and delivery. We will end with a collective reflection on the emerging principles for using AI for design work.
Key Insights
-
•
AI is shifting design research from primarily primary user interviews to more synthesis of secondary research using tools like AI-generated mind maps.
-
•
Miro users employ AI to cluster large amounts of data, like survey responses, to speed up thematic analysis.
-
•
AI-assisted prototyping tools can transform sketches or screenshots into interactive, shareable clickable prototypes within minutes.
-
•
Designers can now bring code-like interactivity (e.g., CSS, React code) into early prototypes without directly coding themselves.
-
•
Prototyping with AI helps designers collaborate more closely and earlier with engineers, improving design handoff and alignment.
-
•
Non-designers and product managers are empowered by AI tools to create and edit visual mockups, reducing dependency on designers.
-
•
Visual communication enhanced by AI fosters better cross-functional alignment and makes complex concepts accessible to diverse teams.
-
•
AI tools still require precise prompts and patience due to limitations like AI forgetting previous context (goldfish syndrome).
-
•
Current AI prototyping workflows often produce disconnected artifacts not fully collaborative yet, showing room for integration improvement.
-
•
Miro is actively experimenting with embedding AI features throughout the product development lifecycle, including AI prototyping and collaborative editing.
Notable Quotes
"AI is not just speeding up what I used to do, it's changing what I used to do."
"AI can act like a super eager intern who's very confident but sometimes gets things wrong."
"You can take a quick sketch, put it in an AI agent, and ask it to bring it to life."
"Design handoff is really about cozying up with engineers and getting closer to the final product."
"Now it's really accessible for everyone, not just designers, to do visual thinking using these tools."
"I can convert a screenshot into an editable mockup right inside Miro without bothering a designer."
"Visual communication is still really important—it's always better to show rather than tell."
"We need to let go of perfectionism and favor efficiency when using AI in product work."
"AI prototypes can get lost on Slack because they're not always collaborative or integrated yet."
"There’s never been a better time for designers to get their hands on tools that seemed far away before."
Or choose a question:
More Videos
"It’s much easier to classify an answer than to generate an answer, and that’s why LLM as a judge works."
Peter Van DijckBuilding impactful AI products for design and product leaders, Part 2: Evals are your moat
July 23, 2025
"The use of dovetail helps organize diverse information without losing the author’s voice or connection to original data."
Xenia Adjoubei Sean BruceEmpowering Communities Through the Researcher in Residence Program
March 29, 2023
"Tesla had 150 million lines of code in 2019 and is now replacing hundreds of thousands of lines with AI to improve self-driving features."
James RamptonThe Basics of Automotive UX & Why Phones Are a Part of That Future
July 25, 2024
"When working with an agency, the quoting process takes about two weeks before recruitment even starts."
Lily Aduana Savannah Hobbs Brittany Rutherford5 Reasons to Bring Your Recruiting in-House (and How To Do It)
March 12, 2021
"I want to grow as a researcher by trying different environments and building new research muscles."
Kayla Farrell Chelsey Glasson Sean Fitzell Jared LeClercWhat It's Like To Be a User Researcher at Compass
March 12, 2021
"Automated tools find many issues at scale, but user testing finds problems those tools can't detect. They pair really nicely."
Kate KalcevichIntegrating Accessibility in DesignOps
September 23, 2024
"The relationship between a user and AI system is multi-agency; both have agency to act and influence outcomes."
Ovetta SampsonResearch in the Automated Future
March 11, 2022
"Culture is the stories that we tell both ourselves and other people about who we are."
Deanna MitchellDesigning with culture: Unlocking impactful insights for Product and UX
March 12, 2025
"Knowledge systems are enterprise level applications that are repositories of a body of knowledge, usually focused on a single topic or related group of topics."
Ren PopeBuilding Experiences for Knowledge Systems
June 6, 2023
