A first-click test shows people a screen and asks where they would click first to do a task. You record that one click, then look at where everyone clicked. It's quick to set up, quick for participants, and it works on anything you can show as an image: a live page, a design mockup or a rough wireframe.
Why the first click matters
Getting the first click right makes success far more likely. In research led by Bob Bailey between 2007 and 2009, across a dozen studies, people whose first click went down the right path went on to complete the task about 87% of the time. When the first click was wrong, only about 46% succeeded.
In other words, people who start well are roughly twice as likely to finish. A first-click test measures that crucial first decision directly.
When to use it
- Testing a homepage or landing page before it goes live: do people find the way to the things that matter?
- Comparing design options, such as two layouts or two button labels.
- Checking a live page that you suspect is underperforming.
- After a tree test, to see whether a structure that works as a text menu still works once it's designed.
If you want to test the structure without any visual design at all, run a tree test first.
How to run one
1. Choose your screens
Use a screenshot of a live page, an exported mockup or a wireframe. Show it at the size people would really see it, and use a mobile-sized image if you're testing a mobile design. In ClickTree you can upload an image, or paste a URL and capture the page at desktop or mobile size.
2. Write the tasks
As with tree tests, write each task as a realistic goal and avoid the exact words on the button or link you expect people to click. "You want to check when your order will arrive" is better than "Click Track order".
Several tasks can use the same screen. Most first-click tests use 3 to 8 tasks.
3. Mark the success areas
Draw the areas that count as a right click, such as the button, the menu item, or both if either would work. You can adjust these later; existing clicks are re-scored straight away.
4. Share and collect
Participants read the task, then see the screen and click once. Aim for 30 to 50 people for clear patterns, more if you're comparing two designs.
Reading the results
- Success rate: the share of first clicks inside a success area. Below about 50% means most people start in the wrong place.
- Heatmap: where clicks concentrated. A hot spot outside your success areas is usually the most useful finding, because it shows what draws attention instead.
- Click map: every click as a dot, green inside a success area and pink outside.
- Time to click: how long people hesitated. Slow, correct clicks suggest the right option is there but doesn't stand out.
Common fixes
- A competing element gets the clicks: make the right option more prominent, or make the competing one clearly about something else.
- Clicks are spread everywhere: the screen doesn't give people a clear starting point. Simplify, or improve the labels.
- People click a label that's close but wrong: the two labels probably overlap in meaning.
Asking one short follow-up question, such as "What did you expect to happen when you clicked there?", often explains a surprising click in people's own words.
You can create a first-click test in ClickTree on the free plan.