First-Click Testing

Your constantly-updated definition of First-Click Testing and collection of videos and articles
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What is First-Click Testing?

First-click testing determines where users start specific tasks on a webpage. Participants click where they think they should go first to complete a given task.

This test is an excellent user research method for evaluating a page's visual design and layout.

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First-click testing should come after finalizing the navigational structure of your website. It can also work with low-fidelity prototypes, making it an invaluable tool in early UX research.

Here are some tips for conducting first-click testing:

  • Provide less than 10 tasks.

  • Write tasks that test the specific part of your website that you want to improve.

  • Write tasks as realistic scenarios that make sense for typical users.

  • Provide an “I don’t know where to click” button to avoid random guesses.

Having “I don’t know where to click” as an option is a good practice for increasing the reliability of results.

First-click tests might also include a question asking why the participant clicked somewhere. When analyzing these responses, remember people are usually bad at explaining decisions afterward. Therefore, these answers shouldn't be the basis of big decisions.

Learn More about First-Click Testing

Take our course on Data-driven design: quantitative research for UX.

Literature on First-Click Testing

Here’s the entire UX literature on First-Click Testing by the Interaction Design Foundation, collated in one place:

Learn more about First-Click Testing

Take a deep dive into First-Click Testing with our course Data-Driven Design: Quantitative Research for UX .

Quantitative research is about understanding user behavior at scale. In most cases the methods we’ll discuss are complementary to the qualitative approaches more commonly employed in user experience. In this course you’ll learn what quantitative methods have to offer and how they can help paint a broader picture of your users’ experience of the solutions you provide—typically websites and apps.

Since quantitative methods are focused on numerical results, we’ll also be covering statistical analysis at a basic level. You don’t need any prior knowledge or experience of statistics, and we won’t be threatening you with mathematical formulas. The approach here is very practical, and we’ll be relying instead on the numerous free tools available for analysis using some of the most common statistical methods.

In the “Build Your Portfolio: Research Data Project”, you’ll find a series of practical exercises that will give you first-hand experience of the methods we’ll cover. If you want to complete these optional exercises, you’ll create a series of case studies for your portfolio which you can show your future employer or freelance customers.

Your instructor is William Hudson. He’s been active in interactive software development for around 50 years and HCI/User Experience for 30. He has been primarily a freelance consultant but also an author, reviewer and instructor in software development and user-centered design.

You earn a verifiable and industry-trusted Course Certificate once you’ve completed the course. You can highlight it on your resume, your LinkedIn profile or your website.

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