UX designers can struggle to actually prove the value of their work because it can be hard to measure but there are some methods that demonstrate the difference they make. Data driven is the newest trend at the moment that everyone is investing in because everyone else is too. However, data scientist can give them what but often can’t provide the why. Being data informed is better than being data driven because it balances quantitative and qualitative. While it can be difficult, it is possible to quantify qualitative feedback. The first way is to quantify user testing feedback. The time and effort needed ranges from medium to high but it is great for evaluating whole user experiences and identifying usability problems. This can be done with five to a hundred users but works best in small groups. This helps identify the perceived difficulty rating, errors committed, time required to complete a task and the task success rate. The first step is to devise a test (no more the 5 complex or 15 simple tasks), and come up with a way to quantify the results like measuring time or errors made. The next step is to prepare a way to analyze the data. Continue repeating the test and analyzing data until there is enough data to present results that can be acted on. The second way is to quantify feedback to simplify quick UX/UI design decisions. This requires little time and efforts, is great for optimizing user experiences and interaction by correcting details and can be done with 25-100 participants. It does however require a tool like UserZoom or Usability Hub. The test should be made in a way that the feedback is quantifiable for example providing a closed list of options instead of free response. The last way is to run an experience rating pill with a quantitative test. This requires low to medium time and effort and is great for quantifying the whole user experience on a large scale. It does require a tool like HotJar though.