Summary
Want to help make better product decisions? You've got to combine qualitative human insights from user research with data analytics and experimentation. Too often research questions are "sent to the team that can answer them best." Questions about how many users do something goes to analytics, questions about which design might work better goes to user research. But what if you partnered with those other teams to answer the questions together? In this session Marieke will share how, as a qualitative UX researcher she's partnered with analysts to identify high-growth opportunities and gain a deeper understanding of users.
Key Insights
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User science combines qualitative user research with quantitative data science to enhance understanding of user behavior.
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Collaborative research fosters deeper insights and answers complex questions that individual teams cannot resolve alone.
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Effective partnerships between UX researchers and data scientists rely on mutual benefits and curiosity.
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Understanding the motivations behind user behavior is crucial for effective data analysis and product improvement.
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Data literacy is important for UX researchers to articulate their findings effectively and to bridge gaps with data teams.
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Storytelling is a powerful tool for UX researchers to communicate qualitative insights to data teams.
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Nudge theory can play a significant role in improving user engagement by breaking down complex habits into actionable behaviors.
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Aligning desired outcomes with research efforts ensures that insights are directed toward measurable business goals.
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Sharing resources and frameworks can help foster collaboration between traditionally siloed teams.
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The integration of qualitative and quantitative insights enhances decision-making at the organizational level.
Notable Quotes
"User science is about leveraging both user behavior and user need to create more impactful products."
"Collaboration shouldn't just be about handing off tasks; it should be a back-and-forth process."
"The right opportunity for research is one where both teams have something to gain."
"Curiosity in data partners is essential for effective collaboration."
"Understanding the user behind the data can reveal insights that numbers alone cannot show."
"We're not just collecting data; we're looking for meaningful signals that can inform product development."
"A clear vision and leadership buy-in are critical for integrating research and analytics effectively."
"A successful user experience is inherently linked to stakeholder engagement and retention."
"Effective storytelling can transform data into compelling narratives that resonate with teams and leadership."
"When researchers and data scientists work closely, the organization can uncover deeper, actionable insights."
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