Setting Performance Indicators for UX

⏱️ How To Measure UX (https://lnkd.in/e5ueDtZY), a practical guide on how to use UX benchmarking, SUS, SUPR-Q, UMUX-LITE, CES, UEQ to eliminate bias and gather statistically reliable results — with useful templates and resources. By Roman Videnov. Measuring UX is mostly about showing cause and effect. Of course, management wants to do more of what has already worked — and it typically wants to see ROI > 5%. But the return is more than just increased revenue. It’s also reduced costs, expenses and mitigated risk. And UX is an incredibly affordable yet impactful way to achieve it. Good design decisions are intentional. They aren’t guesses or personal preferences. They are deliberate and measurable. Over the last years, I’ve been setting ups design KPIs in teams to inform and guide design decisions. Here are some examples: 1. Top tasks success > 80% (for critical tasks) 2. Time to complete top tasks < 60s (for critical tasks) 3. Time to first success < 90s (for onboarding) 4. Time to candidates < 120s (nav + filtering in eCommerce) 5. Time to top candidate < 120s (for feature comparison) 6. Time to hit the limit of free tier < 7d (for upgrades) 7. Presets/templates usage > 80% per user (to boost efficiency) 8. Filters used per session > 5 per user (quality of filtering) 9. Feature adoption rate > 80% (usage of a new feature per user) 10. Time to pricing quote < 2 weeks (for B2B systems) 11. Application processing time < 2 weeks (online banking) 12. Default settings correction < 10% (quality of defaults) 13. Search results quality > 80% (for top 100 most popular queries) 14. Service desk inquiries < 35/week (poor design → more inquiries) 15. Form input accuracy ≈ 100% (user input in forms) 16. Time to final price < 45s (for eCommerce) 17. Password recovery frequency < 5% per user (for auth) 18. Fake email frequency < 2% (for email newsletters) 19. First contact resolution < 85% (quality of service desk replies) 20. “Turn-around” score < 1 week (frustrated users → happy users) 21. Environmental impact < 0.3g/page request (sustainability) 22. Frustration score < 5% (AUS + SUS/SUPR-Q + Lighthouse) 23. System Usability Scale > 75 (overall usability) 24. Accessible Usability Scale (AUS) > 75 (accessibility) 25. Core Web Vitals ≈ 100% (performance) Each team works with 3–4 local design KPIs that reflects the impact of their work, and 3–4 global design KPIs mapped against touchpoints in a customer journey. Search team works with search quality score, onboarding team works with time to success, authentication team works with password recovery rate. What gets measured, gets better. And it gives you the data you need to monitor and visualize the impact of your design work. Once it becomes a second nature of your process, not only will you have an easier time for getting buy-in, but also build enough trust to boost UX in a company with low UX maturity. [more in the comments ↓] #ux #metrics

UX metrics work best when aligned with the right questions. Below are ten common UX scenarios and the metrics that best fit each. 1. Completing a Transaction When the goal is to make processes like checkout, sign-up, or password reset more efficient, focus on task success rates, drop-off points, and error tracking. Self-reported metrics like expectations and likelihood to return can also reveal how users perceive the experience. 2. Comparing Products For benchmarking products or releases, task success and efficiency offer a baseline. Self-reported satisfaction and emotional reactions help capture perceived differences, while comparative metrics provide a broader view of strengths and weaknesses. 3. Frequent Use of the Same Product For tools people use regularly, like internal platforms or messaging apps, task time and learnability are essential. These metrics show how users improve over time and whether effort decreases with experience. Perceived usefulness is also valuable in highlighting which features matter most. 4. Navigation and Information Architecture When the focus is on helping users find what they need, use task success, lostness (extra steps taken), card sorting, and tree testing. These help evaluate whether your content structure is intuitive and discoverable. 5. Increasing Awareness Some studies aim to make features or content more noticeable. Metrics here include interaction rates, recall accuracy, self-reported awareness, and, if available, eye-tracking data. These provide clues about what’s seen, skipped, or remembered. 6. Problem Discovery For open-ended studies exploring usability issues, issue-based metrics are most useful. Cataloging the frequency and severity of problems allows you to identify pain points, even when tasks or contexts differ across participants. 7. Critical Product Usability Products used in high-stakes contexts (e.g., medical devices, emergency systems) require strict performance evaluation. Focus on binary task success, clear definitions of user error, and time-to-completion. Self-reported impressions are less relevant than observable performance. 8. Designing for Engagement For experiences intended to be emotionally resonant or enjoyable, subjective metrics matter. Expectation vs. outcome, satisfaction, likelihood to recommend, and even physiological data (e.g., skin conductance, facial expressions) can provide insight into how users truly feel. 9. Subtle Design Changes When assessing the impact of minor design tweaks (like layout, font, or copy changes), A/B testing and live-site metrics are often the most effective. With enough users, even small shifts in behavior can reveal meaningful trends. 10. Comparing Alternative Designs In early-stage prototype comparisons, issue severity and preference ratings tend to be more useful than performance metrics. When task-based testing isn’t feasible, forced-choice questions and perceived ease or appeal can guide design decisions.

One of the key ways to demonstrate the value of UX research is by measuring success metrics. Without these, it can be hard to show the impact of your work on the product or the business. But how exactly can we measure success in a UX research project? Here are a few critical steps and metrics to consider: 1. Align with Business Goals: ↳ Start by identifying the KPIs tied to business goals. Whether it’s conversion, adoption, or drop-off rates, the research should connect to metrics that matter for the company’s success. By linking research insights directly to business outcomes, you show stakeholders how UX impacts their key priorities. 2. Behavioral Metrics: These are the data points tied to how users interact with your product, such as: ↳ Task Success Rate: How many users successfully complete the task? ↳ Time-on-Task: How long does it take users to complete a task? ↳ User Error Rate: How often do users make mistakes during the task? Tracking these helps identify friction points in the user journey and quantifies the effectiveness of your designs. 3. Attitudinal Metrics: These reflect how users feel about the product or experience: ↳ Net Promoter Score (NPS): How likely are users to recommend your product? Although this one is definitely not my favorite, most businesses care a lot about NPS. ↳ Customer Satisfaction (CSAT): How satisfied are users with the product? ↳ Perceived Ease of Use: How easy do users think the product is to use? Gathering these insights gives you a clear sense of user sentiment and overall satisfaction. 4. Usability Metrics: For more specific insights, you can track usability metrics like: ↳ System Usability Scale (SUS): A quick way to assess perceived usability. ↳ Completion Rates: How many users completed a given task without assistance? 5. Impact on KPIs: Finally, after research is complete and changes are implemented, re-measure these metrics to show improvements. Demonstrating a reduction in error rates or an increase in task success ties UX research directly to improved product performance. By clearly connecting UX metrics to business KPIs, you help stakeholders see the concrete value that research brings to the table. These success metrics aren’t just numbers — they’re proof of how UX research improves user experience and drives business impact. How do you measure success in your UX research projects?

Designing with HEART: how to measure what truly matters in UX One challenge I often see as a Strategy Designer is understanding what to measure to assess the real impact of our design work. Where do you start? Which metrics matter? In my experience, the key is to align early on what outcomes you want to achieve and define together with stakeholders how you’ll measure success - then track those indicators as the project evolves. One tool I find incredibly useful for this is Google’s HEART framework, which helps teams connect product goals with meaningful metrics across five areas: Happiness, Engagement, Adoption, Retention, and Task Success. ❤️ Happiness → What to measure: User satisfaction through surveys (CSAT, NPS) and qualitative feedback. → Why it matters: Emotions drive loyalty and word-of-mouth. 📈 Engagement → What to measure: Frequency and intensity of use (e.g. daily active users, time spent on key features). → Why it matters: Shows if your product adds value over time. 🚀 Adoption → What to measure: Number of new users or accounts over time, feature activation rates. → Why it matters: Reveals if your onboarding and value proposition are working. 🔁 Retention → What to measure: Return usage after specific timeframes (e.g. day 7, month 1). → Why it matters: A product that people don’t return to isn’t solving a real need. ✅ Task Success → What to measure: Completion rates, error rates, time to task completion. → Why it matters: If users can’t achieve their goals, experience breaks down. My personal tips: don’t measure everything. Choose 1–2 metrics per area that align with your product’s goals and stage. And always combine quantitative data with qualitative insights - metrics tell you what, but users tell you why. Useful resources: How to inform product vision with a HEART workshop, by Liz Donovan, MS, ACC, CPCC from UX Collective: https://lnkd.in/gbRAiBs7 Success metrics workshop outline: https://lnkd.in/gVwqvcTt Google’s HEART Framework for Measuring UX by IxDF - Interaction Design Foundation: https://lnkd.in/g5CQyeDG #UXDesign #ProductStrategy #DesignMetrics #HEARTFramework #UXResearch

💡Essential UX Metrics & KPIs in Product Design 'Measure early, measure often' is the only right strategy for product design. When you measure your design regularly, you minimize the risk of product failure. All UX metrics and KPIs can be divided into two large categories—behavioral and attitudinal. Here are a few of the most popular metrics that apply to many types of products: ✅ Behavioral UX metrics & KPIs Behavioral metrics are derived from users' actions and behaviors during their interaction with a product. ✔ Task success rate. This metric assesses whether or not users can successfully complete a designated task. It's critical for evaluating the usability and functionality of a product. ✔ Time-on-task. The time users take to complete specific tasks. This can reveal how intuitive and efficient a product is. Longer times may indicate usability issues or a steep learning curve. ✔ Error rate. The frequency of errors made by users while interacting with a product. Error rate = Number of errors / Total number of task attempts. High error rates may indicate usability problems in a product. ✔ Error recovery time. How quickly a user can recover from an error while interacting with a product. Long error recovery times can lead to increased frustration and a negative user experience. ✔ Feature adoption rate. Assessment of the acceptance of new features among their user base. Feature adoption rate = number of users who have adopted a specific feature / the total number of users during (week/month) *100. A high feature adoption rate (>80%) typically indicates that the feature meets the needs or preferences of users. ✅ Attitudinal UX metrics and KPIs Attitudinal UX metrics are used to gauge users' attitudes, feelings, and satisfaction levels with a product. Unlike behavioral metrics, which focus on users' actions and behaviors, attitudinal metrics are concerned with users' subjective experiences. ✔ Customer Effort Score (CES): CES measures the ease of user interaction with a product. It asks users to rate the effort required to use the product or to achieve a specific task. ✔ System Usability Scale (SUS): SUS is a 10-item questionnaire with five response options for respondents that aims to assess the usability of products. SUS provides a score out of 100. A SUS score above 68 is considered above average, and anything below 68 is below average. ✔ Customer satisfaction (CSAT): CSAT measures how content a user is with a product on a 100-point scale. Satisfaction can be assessed through surveys, feedback forms, or direct interviews. A high rating (>70) means the customer is satisfied. A middle rating (>50 but <70) means the customer is neutral. A low rating (<50) means the customer is dissatisfied. 📺 Google HEART framework for measuring UX: https://lnkd.in/dhkwy_jN 🖼️ Attitudinal vs behavioural research by Maze #UX #design #uxdesign #measureux #productdesign #uidesign #metrics

🔎 UX Metrics: How to Measure and Optimize User Experience? When we talk about UX, we know that good decisions must be data-driven. But how can we measure something as subjective as user experience? 🤔 Here are some of the key UX metrics that help turn perceptions into actionable insights: 📌 Experience Metrics: Evaluate user satisfaction and perception. Examples: ✅ NPS (Net Promoter Score) – Measures user loyalty to the brand. ✅ CSAT (Customer Satisfaction Score) – Captures user satisfaction at key moments. ✅ CES (Customer Effort Score) – Assesses the effort needed to complete an action. 📌 Behavioral Metrics: Analyze how users interact with the product. Examples: 📊 Conversion Rate – How many users complete the desired action? 📊 Drop-off Rate – At what stage do users give up? 📊 Average Task Time – How long does it take to complete an action? 📌 Adoption and Retention Metrics: Show engagement over time. Examples: 📈 Active Users – How many people use the product regularly? 📈 Churn Rate – How many users stop using the service? 📈 Cohort Retention – What percentage of users remain engaged after a certain period? UX metrics are more than just numbers – they tell the story of how users experience a product. With them, we can identify problems, test hypotheses, and create better experiences! 💡🚀 📢 What UX metrics do you use in your daily work? Let’s exchange ideas in the comments! 👇 #UX #UserExperience #UXMetrics #Design #Research #Product

Elevating #User_Experience: Key Metrics for Measuring Maturity and Driving Excellence. Measuring the maturity of user experience (UX) and the effectiveness of systems and technologies is vital for enhancing customer journeys. Key performance indicators provide a roadmap for continuous improvement, focusing on several dimensions: • Ease of Access: Evaluating the growth in user numbers and their ability to navigate systems effortlessly. • System Usability: Ensuring smooth interactions by reducing errors and providing clear guidance, such as tutorials or user-friendly interfaces. • Data Accuracy: Minimizing errors in user input or system processing through validation mechanisms and quality checks. • Time Efficiency: Reducing the time required to complete processes, which reflects the system’s effectiveness and integration capabilities. • Customer Satisfaction: Measuring satisfaction through surveys and improving processes to exceed customer expectations. • Scalability and Cost Optimization: Balancing system expansion with cost-efficiency through advanced technologies and partnerships. • Feedback Integration: Analyzing reports and insights to refine decision-making and operational strategies. Through these metrics, we aim to build systems that are not only functional but also transformative, leveraging AI and advanced technologies to improve service delivery and user experiences. By tracking these indicators, organizations can ensure sustainable growth, higher customer loyalty, and an exceptional level of service delivery. #UserExperience #CustomerJourney #DigitalTransformation #UXMetrics #CustomerSatisfaction #Innovation #AI #CXMaturity #SystemEfficiency #ServiceExcellence #TechInnovation