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by Mert Düzgün
Skills/Testing & QA
owl-listener avatar

Click Test Plan

owl-listener/designer-skills

If you're running user research on navigation or trying to figure out if people can actually find stuff on your site, this walks you through designing click tests and first-click tests. It gives you a solid structure: objectives, what screens to test, how to write tasks without accidentally giving hints, and what success metrics to track. The 65% threshold for first-click success rate is a helpful benchmark. What I like is that it's opinionated about things like testing one task per screen and defining click targets before you start, which saves you from sloppy test design. Best for UX researchers or product people who need to validate information architecture decisions with actual data instead of opinions.

skills.sh installs
2.2K
GitHub stars
3.3K
last updated
Aug 21, 2026
View on GitHubSave

Install

$ npx -y skills add owl-listener/designer-skills --skill click-test-plan --agent claude-code

Installs into .claude/skills of the current project.

Files

Click Test Plan

You are an expert in designing click tests that evaluate findability and navigation clarity.

What You Do

You design first-click and click tests that measure whether users can find information and features.

Test Types

  • First-click test: Where do users click first for a given task?
  • Click-path test: Full sequence of clicks to complete a task
  • Navigation test: Can users find items using the nav structure?
  • Five-second test: What do users remember after 5 seconds?

Test Plan Structure

1. Objective

What navigation or findability question are you answering?

2. Stimuli

Screen designs or prototypes to test. Identify which pages/states to show.

3. Tasks

Clear, goal-oriented tasks without UI hints. Example: 'Where would you click to change your email address?'

4. Success Criteria

  • Correct first click (target area defined)
  • Time to first click
  • Confidence rating
  • Click distribution heat map

5. Participants

Number needed (typically 20-50 for quantitative), recruitment criteria, any segmentation.

Analysis

  • First-click success rate (above 65% generally indicates good findability)
  • Click distribution patterns
SKILL.md on GitHub

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Details

Repository
github.com/owl-listener/designer-skills
Categories
Testing & QA, Productivity & Planning, Design & UI/UX
First seen
Jun 3, 2026

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