Skip to content

[Term Entry] First Click Test #6551

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 6 commits into
base: main
Choose a base branch
from
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
32 changes: 32 additions & 0 deletions content/uiux/concepts/first-click-test/first-click-test.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,32 @@
---
Title: 'First Click Test'
Description: 'First Click Test evaluates where users click first to measure interface clarity and usability.'
Subjects:
- 'Web Design'
Tags:
- 'UX'
- 'User Testing'
- 'Usability'
CatalogContent:
- 'intro-to-ui-ux'
- 'paths/front-end-engineer-career-path'
---

**First Click Testing** is a usability method used to evaluate the effectiveness of an interface's information hierarchy and design clarity. The test measures _where users click first_ when asked to complete a task — and whether that first click puts them on the correct path.

It is based on a simple but powerful insight:

> If a user's first click is correct, they are more likely to complete the task successfully.

Analyzing these initial interactions allows teams to spot usability issues early and validate navigation patterns, content labels, or layout choices.

## What It Measures

First Click Testing is focused on _user decision-making at the very start of a task_. It helps identify whether users understand what to do next, and whether your interface intuitively supports their goals.

Key metrics include:

- _Click accuracy_ – Did users click the correct item or path first?
- _Time to first click_ – How long did it take them to decide?
- _User confidence_ – How confident were they in their choice?
- _Completion rate_ – Did they finish the task successfully after the first click?