The third article in our Connected Research Ecosystem series shifts from redefining research ROI to an operational blueprint. We share four key principles teams can use to standardize workflows, cut internal friction, and speed decisions with unified, verifiable data.
The second article in our series on the Connected Research Ecosystem debunks the myths about Research Operations Value. It shifts the conversation from a focus on linear cost savings to the exponential ROI generated by faster project velocity and verifiable data integrity.
This is the first article in our new series on the connected research ecosystem. The future of research is not about adding another tool - it’s about building a better system.
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...
Bard and GPT-3.5 are close behind As part of our Pulse IQ research, we have users compare prompts and responses from different AI platforms side by side. In the latest round of comparison, 61% of users preferred responses from GPT-4. Overall Users picked GPT-4 because they perceived the responses...
Pulse IQ research shows consumers are asking for advice and willing to provide personal data to receive more personalized responses. Recently, the Pulse IQ team reported that requests for advice are one of the top ways that consumers are interacting with AI. This week, the New York Times broke the...
Consumers leaning into AI for home, education, and career, but less likely to trust AI for money and health uses Businesses across nearly every industry are envisioning an AI-powered future. Firms from McKinsey to BCG to Gartner have released reports speculating about ways that corporations can use AI to move...
54% of AI users are performing work or school tasks, posing risk of data leaks For the first time in Pulse IQ's research, more than half of users surveyed indicated they use AI to increase productivity at work or school. Tools like ChatGPT, Bard, Bing AI, and Claude...
For most consumers, buying a vehicle is one of the largest purchasing decisions they will make, second only to homeownership. This kind of expensive, long-lasting decision is often emotional, and, at least in the consumer's mind, not easy to undo. With vehicle technology advancing faster than ever, consumers...
Consumers overall prefer faster responses, but desire for human support still present Time is money, and when it comes to customer support, AI could save both while maintaining customer satisfaction. Chatbots have historically landed on the 'clunky' side of support interactions, but improvements from generative AI models have...
