A step-by-step tutorial to create your first user research study using AI. No research experience required — go from idea to live study in 5 minutes.
You have a product question. Maybe it's "Do users understand our pricing page?" or "Can people complete signup without getting stuck?" You know you should test it with real users, but the process feels overwhelming.
What if you could go from question to live study in 5 minutes?
With AI-powered study creation, you can. This tutorial walks you through it step by step.
That's it. No UX research background required.
Open the AI Study Builder and describe what you want to learn in plain language. Write it like you'd explain it to a colleague:
Examples that work well:
You don't need to specify study type, methodology, or sample size. The AI figures that out based on your goal.
The AI generates a complete study within seconds. Here's what you get:
Study type — The AI selects the most appropriate format. If you want first impressions, it creates a First Impression test. If you described a task flow, it sets up a Usability test.
Tasks and questions — Specific, scenario-based tasks that participants will complete. These are written in natural language and avoid leading phrasing.
Participant criteria — Suggested demographics and screening questions based on your product and market.
Estimated duration — How long the study takes participants to complete.
Take 2 minutes to review. Adjust anything that doesn't fit your needs:
Most teams find the AI output is 80–90% ready. The review step is about refining, not rebuilding.
Hit Launch Study. Your study is now live and accepting participants.
If you're using Afkar's participant pool, recruitment begins immediately. For MENA-focused studies, you can expect your first responses within hours — often faster.
If you prefer to test with your own users, copy the share link and send it to your participants.
As responses come in, you'll see:
The first responses arrive in hours. For most studies, you'll have enough data to make a decision within 24 hours.
The AI Study Builder supports all 8 study types on Afkar:
| Study Type | Best For |
|---|---|
| Survey | Collecting opinions, preferences, and demographics |
| Usability Test | Testing if users can complete specific tasks |
| First Impression | Gauging initial reactions to a design or concept |
| Card Sort | Understanding how users organize information |
| Tree Test | Validating navigation and information architecture |
| Prototype Test | Testing clickable prototypes before development |
| Preference Test | Comparing two or more design alternatives |
| Interview | Deep qualitative conversations with users |
You don't need to choose. Describe your goal and the AI picks the right format.
Be specific about your audience. "Users in Saudi Arabia aged 20–35 who shop online" produces better participant matching than "general users."
Focus on one question per study. "Can users complete checkout?" is testable. "Is our entire app good?" is not.
Include context for participants. If your study involves a prototype, briefly describe what the product does. Participants perform better when they understand the scenario.
Run a pilot first. Launch with 1–2 participants to verify the study flow works as expected. Then open it to the full sample.
The point of research isn't data — it's decisions. After your study completes:
Research is a loop, not a one-time event. The faster you can create studies, the more you learn, and the better your product gets.
You're 5 minutes away from your first real user insight. No lengthy setup. No research expertise required. Just describe what you want to learn and let AI handle the rest.
