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.

What You'll Need

An Afkar account (free to create)
A research question or product concern
5 minutes

That's it. No UX research background required.

Step 1: Describe Your Goal (1 minute)

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:

"I want to know if users can find the pricing page and understand our plans."
"We redesigned the checkout flow. I need to check if it's easier to use."
"I'm launching a new feature and want first impressions from potential users."
"I need to understand why users abandon their cart on mobile."

You don't need to specify study type, methodology, or sample size. The AI figures that out based on your goal.

Step 2: Review the Generated Study (2 minutes)

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:

Edit task wording if the tone doesn't match your users
Add or remove questions
Tighten participant criteria if you need a specific segment
Change the study type if you prefer a different approach

Most teams find the AI output is 80–90% ready. The review step is about refining, not rebuilding.

Step 3: Launch (1 minute)

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.

Step 4: Read Your Results (1 minute to start)

As responses come in, you'll see:

Task completion rates — Can participants accomplish what you asked?
Time on task — How long does each step take?
Session recordings — Watch real users interact with your product
Open-ended responses — Hear participants describe their experience in their own words

The first responses arrive in hours. For most studies, you'll have enough data to make a decision within 24 hours.

What Types of Studies Can AI Create?

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.

Tips for Better Results

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.

From Results to Decisions

The point of research isn't data — it's decisions. After your study completes:

Identify the top 3 issues by severity (what blocks users vs. what annoys them)
Share recordings with your team — a 30-second clip of a user struggling is worth more than a 10-page report
Decide what to fix before your next sprint
Run another study after you ship the fix to verify it worked

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.

Try It Now

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.

Create your first AI-powered study on Afkar →