UX KPIs in Product Management
Today, the user experience of a product is a decisive factor in its market success. User-friendliness, trust and emotional connection have a direct impact on conversion rates, customer loyalty and recommendations. But how can this effect be systematically recorded - and made usable for product management?
Modern product teams rely on UX KPIs (Key Performance Indicators) - quantifiable metrics that make the quality of the user experience visible. Used correctly, they combine the user perspective with the business objective and create a common basis for decision-making between design, development and strategy.
What are UX KPIs - and Why Do You Need Them?
UX KPIs are key figure-based indicators that can be used to measure, compare and track aspects of the user experience over time. They provide information on whether users are achieving their goals, how efficiently they are doing so and how satisfied they are with the user experience.
A practical example: A team develops a new onboarding route for a banking app. After introducing the new design, the KPIs show that 92% of users successfully complete the registration process (task success rate), the average processing time has fallen by 40% (time-on-task) and the average rating has risen from 3.2 to 4.1 stars (CSAT). This makes UX success measurable, arguable and strategically controllable.
Important UX KPIs and Their Significance in Practice

🟢 Conversion rate
The conversion rate describes the proportion of users who achieve a defined goal - e.g. complete a purchase, submit a form or start a subscription. UX-relevant factors here include understandability, trust and visual clarity.
Example: After redesigning a landing page, the conversion rate increases from 3.8% to 6.5% - the CTA is now more visible and more clearly formulated.
🟢 Task success rate
This key figure measures how many users perform a task completely and correctly. It is particularly suitable for critical processes such as bookings, account openings or support requests.
Example: Only 68% of users manage to enter their payment details. The analysis shows that the input field for the date of birth is formatted incorrectly.
🟢 Time-on-task
How long do users need to complete a task? This metric helps to identify inefficiencies in the process - such as long loading times or unnecessary form steps.
Example: The ordering process in the online store was reduced from five to three steps. The average time-on-task fell from 2:35 to 1:20 minutes.
🟢 Net Promoter Score (NPS)
The NPS measures the willingness to recommend: “How likely is it that you would recommend this product to a friend?” - An emotional but strategically important key figure.
Example: A travel service provider recognizes that the NPS of frequent users is twice as high as that of first-time users - and then specifically optimizes the first user experience.
🟢 Customer Satisfaction Score (CSAT)
Here, satisfaction with a specific interaction is measured selectively - e.g. after chat support or the use of a feature.
Example: 89% of users rate the new document upload as “very satisfied” - a clear success following a targeted UI improvement.
🟢 Retention rate
How many users return after the initial use? This metric reflects long-term loyalty - and thus also the sustainable UX quality.
Example: After introducing a progress indicator in a learning tool, 7-day retention increases by 15%.
🟢 Error rate
The error rate documents incorrect actions or system errors during use. It helps to identify and rectify UI problems.
Example: Many users complete the registration process, but more than 30% enter incorrect email addresses - an indication of poor error messages or unclear input fields.
UX KPIs Along the Product Life Cycle
In practice, UX KPIs can be used specifically along central phases in the user experience:
Phase | Relevant KPIs | Exemplary application |
---|---|---|
Onboarding | Task Success, Time-on-Task, CSAT | Is the first use case understood? |
Utilization | Error Rate, Feature Usage, CSAT | How often is a new feature used? |
Retention | NPS, retention rate | Do users come back - and why? |
Conversion | Conversion rate, drop-off rate | Where do interested parties get off? |
Success Factors in Dealing with UX KPIs
- Less is more: Don’t measure all possible metrics - measure only those that fit the question.
- Quantity + Quality: Numbers are helpful - but they don’t tell a story. Supplement them with interviews, open feedback or video examples.
- Involve stakeholders: UX KPIs become more effective when they are defined and understood together with product management, marketing and support.
- Long-term thinking: UX success is often not immediate, but is achieved through return visits, trust and loyalty - in other words, over time.
Hint: Don’t use UX KPIs as an isolated reporting tool, but as a strategic dialog instrument between teams.
Conclusion
UX KPIs make the “soft” value of user experience measurable, visible and arguable. They link user needs with business goals - and help product teams to anchor UX as an integral part of planning, development and optimization. If you can systematically measure UX, you can also improve it in a targeted manner.
UX KPIs: development, application and strategic benefits
These articles examine the development, integration and strategic use of user experience key performance indicators (UX KPIs). The focus is on scalable systems for companies, IoT, software development and ROI-oriented UX management.
User Experience KPIs for Industrial IoT Systems
Systematic analysis of 605 UX KPIs for IoT systems. Shows challenges and recommendations for integrating UX metrics into technology-driven contexts.
Trendowicz, A., Groen, E. C., Henningsen, J., Siebert, J., Bartels, N., Storck, S., & Kuhn, T. (2023). User experience key performance indicators for industrial IoT systems: A multivocal literature review. Digital Business, 3(1), 100057. https://doi.org/10.1016/j.digbus.2023.100057
Developing a UX KPI Based on the User Experience Questionnaire
Introduction of a KPI based on the UEQ questionnaire, supplemented by importance scales. Serves to communicate UX-relevant key figures in the company.
Hinderks, A., Schrepp, M., Domínguez Mayo, F. J., Escalona, M. J., & Thomaschewski, J. (2019). Developing a UX KPI based on the user experience questionnaire. Computer Standards & Interfaces, 63, 89-101. https://doi.org/10.1016/j.csi.2019.01.007
Development of a Framework for UX KPIs in Industry
Practice-oriented KPI framework at Bang & Olufsen. Combination of UEQ, AttrakDiff, NPS and Custom Scales for brand-specific KPI systems.
Øvad, T., Stec, K., Larsen, L. B., Nellemann, L. J., & Czapla, J. J. (2020). Development of a framework for UX KPIs in industry. In OzCHI. https://doi.org/10.1145/3441000.3441042
Measurement of UX KPIs Based on Software Requirements
Automatic prediction of UX KPIs from software requirements using machine learning - particularly valuable for early UX planning in management.
Atoum, I. (2023). Measurement of key performance indicators of user experience based on software requirements. Science of Computer Programming, 102929. https://doi.org/10.1016/j.scico.2023.102929
A Strategic Approach to Metrics for UX Designers
Connects UX metrics with business goals and return on investment. Shows how UX managers can use strategic KPIs for legitimization.
Turner, C. W. (2011). A strategic approach to metrics for user experience designers. Journal of Usability Studies, 6(2), 52-59.
Last modified: 17 June 2025