12 Key UX Metrics: What They Mean and How to Calculate Each

Table of Contents

  1. Introduction
  2. Task Success Rate
  3. Time on Task
  4. Error Rate
  5. Churn Rate
  6. Retention Rate
  7. Search vs. Navigation
  8. Click-Through Rate
  9. Conversion Rate
  10. System Usability Scale (SUS)
  11. Customer Satisfaction (CSAT)
  12. Net Promoter Score (NPS)
  13. Accessibility
  14. Conclusion
  15. FAQ

Introduction

In the ever-evolving digital landscape, user experience (UX) has become paramount for the success of any app or website. By focusing on UX metrics, businesses can identify where users face hurdles and where they achieve success, enabling designers, developers, and product managers to refine their offerings. These metrics are essential tools for enhancing user satisfaction and optimizing digital products.

But what exactly are UX metrics, and how can you effectively measure and interpret them? In this comprehensive guide, we delve into 12 key UX metrics, explaining what they represent and how to calculate them. Whether you're new to UX metrics or looking to deepen your understanding, this article has you covered.

Task Success Rate

Task Success Rate (TSR) measures the percentage of tasks users complete successfully on your site. A high TSR indicates a user-friendly experience, while a low TSR signifies the need for design improvements.

Calculation

To calculate TSR, you need two pieces of data: the number of successfully completed tasks and the total number of attempted tasks. The formula is:

Task Success Rate = (# of successfully completed tasks / total # of attempted tasks) x 100

For example, if out of 1,000 tasks, 600 are successfully completed, the TSR would be 60%. Typical benchmarks suggest an average task completion rate of around 78%.

Time on Task

Time on Task (TOT) quantifies the duration it takes for a user to complete a task. This metric highlights usability and efficiency, with shorter times generally indicating a smoother experience.

Calculation

To calculate TOT, subtract the start time of a task from its end time:

Time on Task = End Time – Start Time

While individual TOTs can be insightful, aggregating this data across user groups and tasks provides more actionable insights. By benchmarking and tracking changes over time, UX teams can identify areas for process optimization.

Error Rate

Error Rate measures how often users make mistakes while using a product. These include navigation errors, form input mistakes, and invalid clicks. Understanding these errors helps to pinpoint UX pain points.

Calculation

You need the total number of errors and the number of task attempts:

Error Rate = (# of errors / total # of attempts) x 100

Additionally, calculate the overall error occurrence rate (EOR) by dividing the total number of errors by the total number of possible errors, providing a benchmark for comparison.

Churn Rate

Churn Rate measures the percentage of users who stop using a product within a specific period. High churn rates suggest dissatisfaction or usability issues.

Calculation

Identify the number of users at the beginning of a period and the number who leave by the end:

Churn Rate = (# of lost users / total # of users at start date) x 100

For instance, if you start with 1,000 users and lose 200, your churn rate is 20%. A high churn rate prompts deeper examination of other UX metrics to identify and rectify underlying issues.

Retention Rate

Retention Rate indicates the percentage of users who continue using a product over time, reflecting customer loyalty and satisfaction.

Calculation

Calculate retention rate by dividing the number of active users in the second period by the number of users from the first period:

Retention Rate = (# of active users in second month / total # of active users at the beginning of the first month) x 100

For example, if there are 1,000 users initially and 900 still active in the subsequent period, the retention rate is 90%. This metric can be adjusted for various timeframes and user groups.

Search vs. Navigation

This metric compares how users interact with a site via navigation menus versus search functionality, informing UX teams about user preferences and potential navigation issues.

Calculation

Quantify tasks completed through navigation and search:

Percentage of Navigation = (Number of tasks completed with navigation / total number of completed tasks) x 100
Percentage of Search = (Number of tasks completed with search / total number of completed tasks) x 100

Typically, 30% of users use search, with the rest relying on navigation. A higher reliance on search indicates potential navigation problems.

Click-Through Rate

Click-Through Rate (CTR) measures the percentage of users who click on a specific design element, such as a call-to-action button, relative to the total number of users.

Calculation

Determine the number of clicks and views:

CTR = (Number of clicks / Number of views) x 100

For example, if a CTA button has 100 clicks and 1,000 views, the CTR would be 10%. This metric helps pinpoint underperforming design elements.

Conversion Rate

Conversion Rate assesses the percentage of visitors who complete a desired action, such as making a purchase or filling out a form.

Calculation

Divide the number of conversions by the total number of visitors:

Conversion Rate = (Number of Conversions / Number of Site Visitors) x 100

A low conversion rate indicates areas where users may encounter friction, guiding UX teams to refine the process and enhance user experience.

System Usability Scale (SUS)

The System Usability Scale (SUS) is a survey measuring a user’s subjective assessment of a product's usability. The survey consists of ten questions, providing a score that informs UX decisions.

Example

The survey alternates between positive and negative statements, making it more reliable. The SUS score helps prioritize design changes and measure their impact over time.

Customer Satisfaction (CSAT)

Customer Satisfaction (CSAT) evaluates how satisfied users are with a product or feature, using a simple rating scale.

Calculation

Aggregate responses of 4 or 5 and divide by the total number of responses:

CSAT = (Number of 4 & 5 Ratings / Total number of responses) x 100

Adding a comment section can provide deeper insights into specific pain points for further UX improvements.

Net Promoter Score (NPS)

Net Promoter Score (NPS) measures the likelihood of users recommending a product to others, reflecting overall satisfaction and user experience.

Calculation

Subtract the percentage of detractors (scores 0-6) from promoters (scores 9-10):

NPS = (# of Promoters/total # of respondents) – (# of Detractors/total # of respondents)

An NPS score above 0 is good, with higher scores indicating more satisfied users. Including an optional comment section can yield valuable qualitative data.

Accessibility

Accessibility ensures your site is usable for all users, including those with disabilities. UX teams should adhere to the Web Content Accessibility Guidelines (WCAG) and test for screen reader compatibility and other accessibility standards.

Testing tools can evaluate non-text content, headings, form labels, keyboard interaction, and on-page links, ensuring compliance and inclusivity.

Conclusion

By employing these 12 key UX metrics, businesses can gain deep insights into user behavior and experiences, leading to strategic improvements and enhanced satisfaction. Each metric provides a unique perspective, together forming a comprehensive understanding of how users interact with your site or app. Regularly measuring and analyzing these metrics will guide your UX teams in creating more effective, user-friendly, and successful digital products.

FAQ

What are UX Metrics?

UX metrics are quantitative data points that measure various aspects of user experience on a website or app. They help identify where users experience friction and where they achieve success, guiding improvements.

Why Are UX Metrics Important?

UX metrics provide insights that drive design decisions, enhance user satisfaction, and improve overall product usability and effectiveness.

How Often Should UX Metrics Be Measured?

The frequency of measuring UX metrics depends on the specific product and its development cycle. Regular intervals, such as monthly or quarterly, are common. Continuous monitoring is ideal for ongoing improvements.

Can UX Metrics Be Used for Any Website or App?

Yes, UX metrics are versatile and can be applied to any digital platform, whether it’s an ecommerce site, a mobile app, or a corporate website.

What’s the Difference Between Churn Rate and Retention Rate?

Churn rate measures the percentage of users who stop using a product, while retention rate measures the percentage of users who continue using a product. Both metrics provide insights into user loyalty and satisfaction.