Quantitative User Research
Quantitative User Research is the methodical gathering and analysis of data about users' behaviors, needs or attitudes. This invaluable capability within UX and Service Design leans on statistical techniques and structured enquiry to provide measurable insights. Its impact is primarily seen in fostering evidence-based design decisions and highlighting areas for improvement.
Foundational
At a foundational level you are able to assist with basic quantitative user research tasks, such as conducting surveys or collecting usage data, under guidance from more experienced team members. You use simple tools to help gather straightforward, structured information about users. This helps your team start to base design decisions on real evidence rather than assumptions.
Developing
At a developing level you are able to support quantitative user research by following established methods and tools to collect and organize user data. You help analyze straightforward findings that contribute to ongoing Service Design or UX projects. Your work helps your team make more informed and objective design decisions.
Proficient
At a proficient level you are able to plan and run quantitative user research, selecting suitable methods to gather meaningful data on user behavior and needs. You confidently analyze results and present clear findings that guide evidence-based design choices in your team or project. Your work helps shape better experiences by identifying design strengths and areas for improvement.
Advanced
At an advanced level you are confident in designing, conducting, and interpreting complex quantitative user research to inform critical decisions in Service Design and UX. You proactively identify opportunities where structured data can reveal patterns in user behavior and measure the impact of design changes. Your insights shape project direction and drive meaningful improvements to end-to-end user experiences.
Expert
At an expert level you are leading complex quantitative user research, shaping strategic direction and setting best practice across teams. You design robust studies, interpret statistical findings, and guide others in using data to drive impactful Service Design and UX decisions. Your expertise ensures the organization continually improves by making customer needs measurable and actionable.
