UX Research, but smarter: Let AI do the heavy lifting

Hi there, designer!

UX research is the foundation of great design, but let’s be honest—it can be time-consuming and messy if not structured properly. Having a clear process makes it manageable.

Over time, I’ve refined my approach to research into 5 key stages that help me stay organised and extract meaningful insights. Here’s how I break it down:

1️⃣ Definition – I start by setting clear goals, defining research questions, and forming hypotheses (assumptions). This ensures the research has direction.

2️⃣ Preparation – Next, I choose the right methods (interviews, surveys, usability tests) and plan all logistics to ensure smooth execution.

3️⃣ Execution – This is the hands-on phase: conducting studies, talking to users, and gathering raw data.

4️⃣ Analysis – I make sense of the findings, look for patterns, and extract insights that will drive design decisions.

5️⃣ Iteration – Research doesn’t stop at insights! I use the findings to refine the product, validate decisions, and improve continuously.

Each step is critical—but it doesn’t have to be overwhelming. That’s where my new UX Research Co-Pilot GPT comes in! 🎉

With this AI-powered assistant, you can:

✅ Plan research studies with structured workflows

✅ Summarise raw data into clear, actionable insights

✅ Generate professional usability testing reports in minutes

🚀 Try it for FREE and Share Your Feedback! 🚀 I’m offering early access to my UX Research Co-Pilot, and I’d love for you to test it out and tell me what you think. Your feedback will help me refine it further!

👉 Try it here: https://llsbetnotion.gumroad.com/l/researcgpt

Would love to hear your thoughts—hit reply and let me know how it helps your research workflow!

That’s all for this week! Stay tuned for more insights - learn how to transform and evolve your design workflow.

Lisa
P.S. Have a specific challenge in your design workflow? Hit reply—I’d love to hear about it!

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