How to Define Success Criteria for UX Research
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How to Define Success Criteria for UX Research
"A hypothesis is simply an assumption about user behavior, needs, or preferences that you want to validate (or invalidate). Think of them as " bets " you're making in your design. I typically use the following format for a hypothesis: I believe that [user group] will [do something/use something] because [reason or context]. Examples: I believe that first-time users will skip account setup if it feels too long, because they want immediate value."
"Once you articulate a hypothesis, the next thing you need to do is to validate it. And here comes a second piece of the UX research puzzle - success criteria. Success criteria are measurable signals that tell you whether your hypothesis holds true. They prevent you from interpreting vague feedback as validation. Success criteria can be quantitative (numbers) or qualitative (observations), depending on the research context. Here is a 3-step process that I follow when choosing success criteria for my UX research:"
"Before defining success, understand the specific problem the UX research aims to solve and how it connects to broader business objectives. Start with two big questions: "What do we need to learn to move this product forward?" "Why do we need to learn it?" and turn that into a measurable outcome. Success criteria should answer the research questions. For example, if you're checking if onboarding is intuitive, you can focus on quantitative success criteria, such as"
Hypotheses are assumptions about user behavior, needs, or preferences framed to be validated or invalidated. Use a clear template such as: I believe that [user group] will [do something] because [reason or context]. Examples include first-time users skipping long account setup, preference for voice search while cooking, or need for export-to-PDF. Success criteria are measurable signals, quantitative or qualitative, that indicate whether a hypothesis holds true. Success criteria prevent vague interpretation of user feedback. When selecting success criteria, tie them to research objectives and business goals, start with the core questions to turn learning goals into measurable outcomes.
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