We spent Research Week in San Francisco listening, taking notes, and talking with the UX and market researchers, research managers, human factors engineers, research operations program managers, and product designers who gathered coast to coast. Sessions covered Advanced Market Research, Growth UXR, Great Research, AI and UXR, Up Up and Away!, and Moonshot Research.
What are the key themes and insights that emerged from Research Week?
- Product defines, marketing communicates, business captures the value, and researchers are translators and connectors.
- Build a culture of influence because influence isn't a moment, it's a structure.
- The insights alone are not enough; it's how you deliver and socialize them that makes them stick.
- Nothing hits like good UX research: compelling clips, stats, and verbatims.
- AI is transforming workflows, enabling large-scale data processing so researchers can focus on high-value work.
Practical takeaways to implement next week
Know who you're translating for and what matters to them
The gap in research most teams face right now is translation. Every function hears research differently. Each has a completely different "so what," as Apurva Luty puts it, so you need to respond and hear different ways, hearing data science in questions, design in critique, marketing in frameworks, engineering in constraints, and leadership in confidence. No one wants to hear: "we need to do more research”, but when you feel rushed for insights, you can always ask upfront if it’s a quick directional and recognize when you need more time for a comprehensive answer.
Building that bridge doesn’t mean you’re a gatekeeper. Rachel Ousley has seen democratizing access to data play out through more conversations and approaches with better questions. Map your stakeholders' "so what" and foster an open line of communication because you are working towards the same goal in the end.
Design for a culture of influence
Influence isn't a moment, it's a structure. Jess Holbrook breaks down direct influence versus indirect influence where direct influence is the central mechanism you present to senior leadership, and indirect influence is about setting the stage. Get ahead of it: know what your organization needs to understand in three months, six months, nine months, and how do we set ourselves up now to do that?
Build a culture of influence by giving credit loudly and often, saying people's names in the room by sharing wins and shoutouts. At Optimal, we do this through a celebrations Slack channel and quarterly value awards with open nominations through the company. Bring stakeholders, even ones you might not see eye-to-eye with upfront, into conversations where their perspective is genuinely valued, and anticipate what your team needs.
Continue running thoughtful studies with your users
The value of research is clear: to build better experiences, you must listen to the people who are using the product, service, the thing you’re making, and are affected by it. It is in discovery where you, well, discover what users actually want. As Andrew Chamberlain says, those hack projects and rapid prototypes can scale and become new products, and beyond that, research is how you elevate your brand and get invited into new spaces.
In discovery, know when to screen for behavior and when to screen for demographics. Maybe you’re looking at how people us mobile devices in homes, where one phone does not necessarily mean one owner or one user and in this case, your questions need to be framed openly and intuitively to get insight into your users’ mental models and actions, often different from your own, with people assigning different meanings to the same words. Nicole Naurath uses the example of asking “Do you share a device?” instead of, “How does someone else access this device?” to capture richer, more accurate insights into actual behavior.
Treat delivery like it's part of the research
Research reporting is socialization. Your decks don't have to change, but the artifacts around it do. A compelling clip, a sharp stat, a well-chosen verbatim – nothing hits like it. Nicole Zeng explains UX research as the thing that silences rooms, changes minds, and redirects roadmaps.
Format your findings and discussion for the spaces people already work. Lauren Lin describes sharing insights as stackable and shareable clips on Slack as well as data cards that are downloadable as Figma components.
Use AI to buy back your time for the work that matters
AI is enabling large-scale data processing that used to take months, which means you can spend less time in the weeds and more time on the work that moves the needle – the judgment, translation, organizational, goal setting, and influence-building work. AI can handle the volume and scale of your data. However, everyone has a different comfort level with new tools. Nicole Zeng uses the analogy of a lake: maybe you’re diving in headfirst, maybe you’re watching from the shore, or maybe you’re paddling through the waves.
Break your workflow and explore novel ways of leveraging AI in UX research, then share out your findings and flows, because that's how we make progress as teams, get deeper customer insights, and ultimately make better decisions. It's why we're constantly evolving Optimal, and Optimal 3.0 is built for exactly this: helping product teams discover, validate, and continuously optimize user experiences that drive real business results.
We're in an exciting time and it's moments like this when our industry comes together that we never forget. Stay connected with us on LinkedIn to get the latest updates on our upcoming events!






