A guide for UX teams and PMs to strategically combine research methods and modes across surfaces to generate actionable insights - without unnecessary overhead or resource overload. As Nielsen Norman Group emphasizes, integrating quantitative and qualitative research allows teams to uncover not only patterns in user behavior but also the...
A practical playbook for UX teams (and PM’s doing it themselves) to run smarter user tests with less overhead. Why Testing Feels Hard in Enterprise (and How to Make it Easier) Small UX teams in enterprise companies often support multiple product managers, competing priorities, and limited bandwidth. The reality:...
The New Imperative-Time-to-Right & Trust UX research has long been centered around selecting the right methods to gather, synthesize, and share user insights. But with the accelerating integration of AI, the core focus has shifted. Success is no longer just about speed to market-it's about getting it right...
A look at what keeps powerful findings from shaping product decisions There's no shortage of good research. There's just a shortage of good use of research. As a UX researcher, I’ve seen this happen over and over. We spend weeks on a study, pull together...
In today’s fast-paced app development world, relying on assumptions about what your users need can lead to missed opportunities. Instead of guessing, imagine having access to real-time, user-prioritized feedback to guide your product decisions. Guessing what users want often results in: * Roadmaps that miss the mark with users * Misspent...
Generative AI is transforming product development—but not without challenges. It’s enabling teams to work smarter, innovate faster, and enhance user experiences, but navigating its complexities is key to long-term success. Here are five challenges product teams should be aware of when adopting AI: 1) Addressing Bias in AI...
Generative AI is revolutionizing the way we design, market, and refine products. It’s giving teams the tools to better understand users, create more meaningful experiences, and connect with audiences in new ways. From improving designs to boosting engagement and expanding your reach, AI is opening up exciting opportunities. Here...
Artificial intelligence is eating the world. The pace at which machines have recently been able to achieve human or even superhuman performance on tasks previously requiring human intelligence has been breathtaking. AI has the potential to become a profoundly useful assistant and tool in almost every aspect of human life,...
Key webinar takeaways from a discussion around the intersection of UX and AI. Explore the implications of LLMs and generative AI in UX design.
Sign in or subscribe for access to the webinar recording and more free UX content from Pulse Labs. This insightful 45-minute conversation hosted by Pulse Labs, is designed for UX researchers looking to navigate the rapidly evolving landscape of AI-driven applications. During the session, we hosted a dynamic, moderated discussion...
Based on this week’s keynote address, Google Cloud Next 2024 is slated to be a hotbed of cutting-edge AI solutions, and many of these advancements represent potential for the User Experience research community. We’ve identified a few key takeaways that could inform future practices to gain UX insights...
Travel and trip planning is seen as a natural use case for AI platforms. In the planning stage, consumers are making large considered purchases and need to compare and weigh different options with a number of variables. Consumers see high potential in AI’s ability to alleviate trip planning anxiety...
1 out of 5 (21%) of all self-directed user queries relate to “advice.” The types of advice users seek range from dating tips, managing difficult bosses, health, to outfits for a theme party. At right are a sample of user experiences capturing “advice” prompts with video and audio. 0:00...
As the impact of AI and its implications ripple through society, bigger questions are being raised, including in Hollywood, where the entertainment industry relies on human creativity and innovation. The current writer/actor strike has brought this to the forefront: what is the role of AI in creative industries? But...
Open AI has a freemium model whereby GPT-3.5 is free and GPT-4 (“Plus”) is not. Understandably, there are questions about whether GPT-4 is worth the cost. Is it better? How much better? One simple answer is: GPT-4 is 8% better. Why? The perceived quality of the response. Putting other...
If you remove the brand, and people didn't know the platform behind the response, would that impact perceived quality and preference ratings? Using the two pronged approach in Pulse IQ™ we examine this and find some differences. * Among GPT-4 “fans” who rate GPT-4 highly in branded testing, those...
GPT-4 still ranks highest in overall user preference score, confirmed in the latest testing of over 500 responses during the last two weeks. But Bard is steadily closing that gap and not far behind GPT-4. Overall, GPT-4 responses have the leading preference score among all platforms tested * GPT-4 is preferred...
