AI-Enhanced Research & Design
Lucas Blondheim
UX Leader | AI-Enhanced Design
Research to delivery — with AI doing the heavy lifting.
Most designers are using AI the wrong way — dropping it into isolated tasks like a faster search engine, then wondering why the output doesn't hold up in front of stakeholders.
The real problem isn't the tools. It's the workflow. Without a structured approach, you're still doing the slow, expensive parts manually — grinding through research synthesis, rebuilding the same artifacts from scratch, struggling to connect insights to decisions. And when you do reach for AI, you get generic output that doesn't reflect what your users actually need.
This course is for designers who are serious about changing that. Not by chasing every new tool, but by building a repeatable, research-grounded workflow that uses AI where it actually creates leverage — from transcript analysis to concept generation to stakeholder storytelling.
Over 13 weeks, you'll work through a real project using a structured AI-enhanced process. You'll synthesize research faster, generate more concepts in less time, and build a documented workflow that makes you more valuable to any team — and harder to replace by anyone not thinking this way yet.
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
Week 1
AI Isn’t Magic: The Mental Model Designers Actually Need
Week 2
Right Tool, Right Task: Designing an AI Workflow That Works
Schedule
Live sessions
1 hr / week
Projects
3-5 hrs / week
Async content
2 hrs / week
Frequently asked questions
$990
USD
3 days left to enroll