usability-metrics in web design

What are Usability Metrics?

Usability Metrics are a set of measurements that tracks the usability of a specific design.

What makes a Usability Metric different from other metrics?

  • Unlike other metrics, usability metrics are forward-looking and are the only measurement of a person’s experience with a design. The metrics help you find the problems even before users get to buy the product.

    Compared to other metrics, they allow you to elicit a users’ real attitude and behaviours while interacting with a design. This enables businesses to validate the “gut feeling”, hunches and opinions by providing real measurable data even before the launch of a product.

Types of Usability Metrics

  • Performance Metrics

  • Issues-Based Metrics

  • Self Reported Metrics

  • Quantitative Metrics

  • Qualitative Metrics

Performance Metrics

  • It is the best way to evaluate the effectiveness and efficiency of designs.

  • They are the best way of knowing how well users are actually using a product.

  • Performance metrics tell the what very well but not the why.

Types of Performance Metrics:
  • Task Success: Measures how effectively users are able to complete a given set of tasks.

  • Time-on-Task: Measures how much time is required to complete a task or measure if target users can complete the tasks within the expected time.

  • Errors: Measures the errors made during task completion. Two types of errors are usually measured: slips and mistakes.

  • Efficiency: Measures the amount of effort a user expends to complete a task, such as the number of clicks in a website or the number of button presses.

  • Learnability: It is the extent to which something can be learned long term or short term.

Issued-Based Metrics

  • Measure anything that prevents task completion.

  • Measure anything takes users off course.

  • Measure anything that creates some level of confusion.

  • Measure anything that produces an error.

  • Measure how many users did not see something that should have been noticed.

  • Measure how many people assumed they were correct in their task completion when they were actually wrong.