top of page

UX Research KPIs That Matter

By Philip Burgess | UX Research Leader


Understanding how users interact with a product is essential for creating meaningful experiences. UX research provides valuable insights, but measuring its impact requires clear, focused key performance indicators (KPIs). Choosing the right KPIs helps teams track progress, justify investments, and improve designs based on real user needs.


This post explores the most important UX research KPIs, explaining why they matter and how to use them effectively.


Eye-level view of a UX researcher analyzing user interaction data on a laptop
UX researcher reviewing user interaction data

Why UX Research KPIs Are Essential


UX research KPIs provide a way to quantify the value of user insights. Without measurable goals, research efforts can feel abstract or disconnected from business outcomes. KPIs help teams:


  • Track improvements in user satisfaction and usability

  • Identify areas where design changes have the most impact

  • Communicate the value of UX research to stakeholders

  • Align research goals with product and business objectives


Selecting KPIs that reflect both user experience and business goals ensures research drives meaningful change.


Key UX Research KPIs to Track


1. Task Success Rate


This KPI measures the percentage of users who complete a specific task successfully during usability testing. It shows how intuitive and effective a design is.


Example: If 85 out of 100 users can complete a checkout process without errors, the task success rate is 85%.


Tracking this KPI over time reveals whether design changes improve user performance.


2. Time on Task


Time on task records how long users take to complete a task. Shorter times usually indicate a more efficient and user-friendly design.


Example: If users take an average of 3 minutes to find product information, but after redesign, it drops to 1.5 minutes, the change improved usability.


This KPI helps identify bottlenecks and areas where users struggle.


3. User Error Rate


This measures how often users make mistakes during interactions. High error rates suggest confusing or poorly designed elements.


Example: During form filling, if 30% of users enter incorrect data due to unclear instructions, the error rate is high.


Reducing errors improves satisfaction and reduces frustration.


4. System Usability Scale (SUS) Score


SUS is a standardized questionnaire that provides a usability score from 0 to 100 based on user feedback. It offers a quick way to benchmark usability.


Example: A SUS score above 68 is considered above average usability. Scores below that indicate room for improvement.


Using SUS regularly tracks perceived usability changes over time.


5. Net Promoter Score (NPS)


NPS measures user loyalty by asking how likely users are to recommend the product to others. It reflects overall satisfaction and brand perception.


Example: An NPS of 50 means many users are promoters, while a negative score indicates dissatisfaction.


While not purely a UX metric, NPS connects user experience to business growth.


6. Customer Satisfaction (CSAT)


CSAT surveys ask users to rate their satisfaction with specific interactions or the product overall. It provides direct feedback on user happiness.


Example: After a support interaction, a CSAT score of 4.5 out of 5 shows high satisfaction.


Tracking CSAT helps identify strengths and weaknesses in the user journey.


7. Adoption Rate of New Features


This KPI tracks how many users start using a newly introduced feature. It indicates whether the feature meets user needs and is discoverable.


Example: If only 10% of users try a new search filter, it may need better promotion or design tweaks.


Adoption rates guide product decisions and prioritize improvements.


How to Choose the Right KPIs


Not every KPI fits every project. Consider these factors:


  • Project goals: Align KPIs with what the team wants to achieve, such as improving onboarding or reducing errors.

  • User context: Choose KPIs relevant to the user tasks and environment.

  • Data availability: Ensure you can collect reliable data without disrupting users.

  • Stakeholder needs: Select KPIs that communicate value clearly to decision-makers.


Combining quantitative KPIs like task success with qualitative feedback creates a fuller picture.


Close-up view of a UX dashboard showing task success rate and user satisfaction metrics
UX dashboard displaying key performance indicators

Using KPIs to Drive UX Improvements


Tracking KPIs is only useful if teams act on the insights. Here are practical steps:


  • Set benchmarks: Establish baseline metrics before redesigns.

  • Regular testing: Conduct usability tests and surveys frequently.

  • Analyze trends: Look for patterns in KPIs to spot issues early.

  • Prioritize fixes: Focus on problems that impact key KPIs most.

  • Share results: Communicate findings with product teams and stakeholders.

  • Iterate designs: Use KPI data to guide continuous improvements.


For example, if task success rate drops after a new release, investigate usability issues and adjust the design promptly.


Final Thoughts on UX Research KPIs


Tracking the right UX research KPIs helps teams measure the real impact of their work. Metrics like task success rate, time on task, and user satisfaction provide clear evidence of usability and user happiness. Combining these with business-related KPIs like NPS connects user experience to company goals.


Comments


bottom of page