AI-Enhanced Research & Design
Lucas Blondheim
UX Leader | AI-Enhanced Design
Research to delivery — with AI doing the heavy lifting.
The designers getting the most out of AI aren't necessarily using more tools. They're using them at the right moments, with the right context, inside a workflow that connects research to execution in a way that holds up under scrutiny.
This course is built around that workflow.
Over 13 weeks, you'll work through a real project — from research foundation through concept generation to stakeholder-ready delivery — using a structured AI-enhanced process. You'll move through synthesis faster, explore more design directions in less time, and come out with a documented workflow and a case study that demonstrates measurable impact.
It's not a survey of AI tools. It's a repeatable process for using them where they actually create leverage — and knowing when to trust your own judgment instead.
What you’ll learn
Build a repeatable AI-enhanced design workflow that makes you faster, more credible, and harder to replace.
Structure and code 30+ interview transcripts using LLM workflows — in hours, not weeks.
Extract and validate themes without losing the nuance that makes research credible.
Generate journey maps and synthesis reports directly from coded interview data.
Translate research findings into structured AI prompts for Figma Make and Lovable.
Explore 3–5 distinct concept directions in the time it used to take for one.
Evaluate concepts against research criteria, not gut feel or stakeholder preference.
Complete a full research-to-delivery case study on a real project over 13 weeks.
Document your process as a playbook your team can adopt and scale.
Measure and communicate productivity gains with real ROI data.
Learn where AI creates real leverage in the design process vs. where it adds noise.
Build prompt libraries tailored to your domain and project types.
Develop a critical eye for AI output — know when to use it and when to push back.
Produce professional research synthesis reports, journey maps, and design briefs.
Build prototypes in Figma or Lovable using AI-assisted concept generation.
Create portfolio-ready case studies demonstrating measurable design impact.
Demonstrate documented time savings and cost reduction from AI-enhanced methods.
Lead your team's adoption of AI design workflows with a repeatable framework.
Who this course is for
The Lean Team Lead Design lead managing a 2–3 person team with enterprise-scale project demands.
The Enterprise Design Practitioner Works inside a large organization — financial services, SaaS, healthcare. Limited autonomy over tooling.
The Design Consultant Building Capacity Independent or agency-side designer who needs to increase throughput without adding headcount.
What's included
Live sessions
Learn directly from Lucas Blondheim in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
13 live sessions • 26 lessons • 5 projects
Week 1
Jul
10
AI-Enhanced Research & Design Weekly Session
Fri 7/102:00 PM—3:00 PM (UTC)Optional
AI Isn’t Magic: The Mental Model Designers Actually Need
Week 2
Jul
17
AI-Enhanced Research & Design Weekly Session
Fri 7/172:00 PM—3:00 PM (UTC)Optional
Right Tool, Right Task: Designing an AI Workflow That Works
Schedule
Live sessions
1 hr / week
Fri, Jul 10
2:00 PM—3:00 PM (UTC)
Fri, Jul 17
2:00 PM—3:00 PM (UTC)
Fri, Jul 24
2:00 PM—3:00 PM (UTC)
Projects
3-5 hrs / week
Async content
2 hrs / week
Frequently asked questions
$990
USD