The Problem Space

Key Insights

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  There is a wide variety of prototyping tools, but tooling for early problem space research is underdeveloped.

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  UX researchers spend significant time manual coding and synthesizing interview transcripts without much tool automation.

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  Language mapping using natural language processing could help extract user narratives and keywords to better understand user thinking.

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  Data repositories across organizations often fail due to tool complexity and lack of cross-disciplinary accessibility.

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  Collaborative tools like Mural facilitate real-time brainstorming and affinity mapping in remote teams.

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  Hypothesis definition is a largely social and iterative process, reliant on team communication rather than technical tooling.

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  Mapping assumptions from user and business outcomes supports prioritizing testable prototypes early.

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  Tooling that connects research questions, assumptions, tests, and outcomes could provide critical ‘glue’ for the research process.

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  Research approaches differ greatly depending on context, from startups to established enterprises requiring flexible tooling.

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  Remote work increases reliance on digital collaborative tools but also surfaces challenges in managing distributed inputs and synthesis.

Notable Quotes