Summary
Businesses are increasingly demanding that insight functions—market research, CX, data science, and user research—collaborate to consolidate knowledge and avoid duplicating work or telling conflicting stories. As a result, researchers are shifting from knowledge generation to insight curation. However, there is no one-size-fits-all model. In this session, leaders from diverse disciplines will explain why curation is essential, share practical structures and strategies for knowledge sharing, and offer actionable steps to drive effective, integrated insight within organizations.
Key Insights
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Collaboration among research disciplines enhances the richness of insights.
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Accelerating the 'learning velocity' in organizations requires a focus on strategic research questions.
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The importance of creating a shared understanding of insights among diverse teams is crucial.
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Skill sets for researchers need to expand to include narrative building and facilitation skills.
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Centralized teams can enhance rigor but may risk losing connection to everyday operations.
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Developing an understanding roadmap can help prioritize research questions across functions.
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It's essential to empower cross-functional teams to derive insights from data
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Utilizing technology for data synthesis can streamline research processes significantly.
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Sharing the insights 'what, so what, now what' format helps clarify actionable recommendations.
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A balance of decentralized and centralized research structures can optimize insights.
Notable Quotes
"We're gonna be building knowledge and collaborating clearly and relationally."
"Our goal overall is to accelerate learning velocity to help deliver value to customers."
"We need to figure out how best to answer research questions, regardless of methodology."
"You have to enable knowledge transfer so teams can proceed from shared facts."
"It's not just the job of researchers to facilitate understanding; designers and PMs are engaged too."
"It doesn't matter how much data you have if you don't ask the right question."
"Sometimes seeding an agreed approach across research teams can find common ground."
"Creating learning agendas visualizes what questions we need to answer first."
"The ability to work together leads to shared insights and benefits multiple teams."
"We track insights and their actionability to demonstrate the value of research."
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