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Summary
Three of your research colleagues discussed and defended their respective positions on what UX research “maturity” looks like. Participants then engaged with them in a discussion and Q&A, facilitated by Lada Gorlenko. “Absent a strong baseline level of data fluency, product teams struggle to harness the power of insight in their work. As UX and UXR leaders, we are uniquely positioned to define what fluency looks like for our organizations and help teams transform to achieve it.” – Megan Blocker “Research has come a long way, but we have a long way to go. Our future success rests on two pivotal aspects of maturity: our leadership’s proximity to power and the use of ‘Strategic Research Programs’ to deliver value beyond Design and Product.“ – Fatimah Richmond “Does UX maturity matter in the age of Generative AI? Is your ability to do well as a team going to depend on your UX skills? Or your tech or people skills?” – Molly Stevens
Key Insights
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Maturity is not just knowing what to do, but also understanding what not to do.
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Research maturity involves acknowledging the need for continual learning and adapting to new information.
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The growth mindset is crucial for recognizing opportunities to enhance research practices.
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Mature research teams understand how to integrate both qualitative and quantitative insights within product development.
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Strategic roles in research operations are essential for elevating the role of research in decision making.
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Understanding the broader business context can enhance the impact of research efforts.
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Effective collaboration between research and other organizational functions leads to improved outcomes.
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Metrics and scorecards are critical for communicating the value of research to stakeholders effectively.
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AI tools can enhance efficiency but must not replace the essential human aspects of research.
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Organizational maturity in research requires a reevaluation of team structures and leadership dynamics.
Notable Quotes
"Maturity is when I know what I do and I'm confident in it."
"Maturity also involves responsibility and the judgment to say no when necessary."
"Research maturity means having a growth mindset and understanding that there's always more to learn."
"I believe we need to step outside research and understand other parts of the business."
"The quality of our work matters in context to where we're working."
"We need to transform our output into measurements that show real impact."
"Understanding AI is crucial to defining how it can enhance our research practices."
"Maturity is about supporting the business goals, not just about improving research skills."
"Research should not just aim for a seat at the table, but should help to redefine that table."
"Our craft has so much potential, and now is a very exciting time for us."
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