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Make your research synthesis speedy and more collaborative using a canvas
Friday, January 24, 2025 • Rosenfeld Community
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Make your research synthesis speedy and more collaborative using a canvas
Speakers: Shipra Kayan
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Summary

We got into UX research to make products work better for humans. However, the pace of product iteration has gotten so fast, our research resources have gotten so thin, that we are continuously being asked to be faster, while also bringing more pithy - more relevant findings. Product teams don’t have the time to hear long readouts. “How does this impact the decision I need to make this week?” they want to know. The best way to ensure research insights are both timely and relevant is to make your research synthesis process collaborative. Using a canvas to co-synthesize with your team can be fun, speedy and incredibly impactful. In this talk, Shipra Kayan from Miro gives an inside look at Miro’s research process. We follow an example that shows how the teams run a user testing session (moderate 5 tests, synthesize, reflect and make decisions) in just one and a half days during a design sprint. See hacks and tips for importing data, tagging, clustering, facilitating and presenting all from a single space. Walk away with new ideas for how to synthesize collaboratively with your cross-functional teams to immediately impact design decisions.

Key Insights

  • The pace of business demands quicker, more responsive research processes.

  • Democratizing research allows broader participation and richer insights.

  • Collaborative workshopping enhances stakeholder engagement and prioritization of research objectives.

  • Using templates and collaborative canvases streamlines the research brief and research synthesis stages.

  • AI can aid in clustering insights, but human interpretation remains essential for accuracy and relevance.

  • Stakeholder fears and hopes should be addressed early in the research process to avoid misalignment later.

  • Use of private modes in workshops encourages honest feedback without fear of judgment.

  • Synthesizing insights collaboratively leads to greater team ownership and accountability for results.

  • Balancing stakeholder biases requires transparent discussions and collective validation of insights.

  • AI tools should complement human analysis, not replace it, especially in subjective areas of research.

Notable Quotes

"It's not just about doing research alone; it's about making it collaborative."

"We can get insights quickly and ensure they belong to the team, not just the researcher."

"Businesses are moving much faster than before, and our research needs to keep up."

"Workshopping in research isn't just about getting input; it's also about converging on priorities."

"The credibility of research hinges on understanding stakeholders' fears and needs."

"Using anonymous modes in workshops can significantly enrich the feedback process."

"AI is a tool to enhance our capabilities, but the human touch in research is irreplaceable."

"The challenge is to align our insights with the fast-evolving goals of the business."

"Embracing a pessimistic mindset in research helps us discover potential failures before they happen."

"Engaging stakeholders in the synthesis process ensures a diverse range of perspectives are considered."

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