Short Take #1: UX/Product Lessons from Your Industry Peers
Summary
Curated from community-contributions, these brief video clips feature winning submissions from industry pros sharing their most important lessons on navigating the intersection of UX/Product.
Key Insights
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Many non-UX professionals struggle to grasp core UX practices like user-first design and the value of user interviews.
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Involving non-UX colleagues in UX processes enhances their appreciation and understanding of user-centered design.
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UX research, analytics, marketing research, and A/B testing often exist in organizational silos, complicating decision-making.
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Decision makers like product managers face significant cognitive load when trying to piece together diverse data streams independently.
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Bringing data and insight teams together during key planning stages, such as roadmapping, enables alignment and synergy.
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Creating a well-synthesized data package from multiple sources helps decision makers see a fuller, clearer picture.
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Full synthesis of different data streams remains challenging, but incremental collaboration improves outcomes.
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Reducing cognitive load on decision makers supports more effective and timely product decisions.
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Transparency in UX practices fosters cross-functional buy-in and shared understanding.
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Product managers like Pam often serve as the primary decision makers who rely on synthesized insights for direction.
Notable Quotes
"I wish I had had a better understanding of how many non-UX people know so little about UX practices."
"I try as a product manager to involve them in those UX practices as often as possible."
"A lot of times those data streams are acting somewhat independently."
"Decision makers often have to try to piece all the pieces of the puzzle together themselves."
"Bringing insights gathering functions together helps us deliver data in a thoughtful way."
"During roadmapping time, let's bring our roadmaps together and discover synergies."
"Even when we bring the data together, we’re still not necessarily synthesizing very well."
"Having a well-thought-out data package really helps us see a fuller picture."
"Reducing cognitive load on decision makers really helps them work with the data."
"When it comes to the data we’re providing, that decision point is really important for PMs."
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