Our series concludes by examining the “last mile” of research operations: turning aligned workflows and integrated data into real organizational action. Learn how an integration-first approach unlocks faster decisions, stronger governance, and insight at global scale.
Research teams often spend too much time moving data between platforms, risking errors and delays. Automated, two‑way integrations let insights flow securely and quickly. In article 5 of the Connected Research Ecosystem Series, we learn that alignment isn’t enough; integration makes data actionable.
In the fourth article of our Connected Research Ecosystem series, we explore alignment. After defining fragmentation, measuring its impact, and outlining a blueprint, we show how connecting tools, teams, and data points creates a unified picture for reliable research insights.
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.
In an era where “going global” is table stakes, it’s crucial that product teams don’t assume that simply translating interface copy or surveys is enough to serve multiple markets. Translation is only the tip of the iceberg. To get meaningful, actionable insights and build truly global products, UX...
In the fast-evolving world of product development, user experience (UX) research has never been more critical — or more challenging. At Pulse Labs, we’ve supported countless enterprise teams across industries and regions, giving us a unique vantage point on the trends transforming UX research today. As teams grapple with growing...
In 2017, Canada became the first country in the world to launch a national AI strategy. With $125 million in initial investment, it established world-class research hubs like Mila in Montreal, Amii in Edmonton, and the Vector Institute in Toronto. That early leadership positioned Canada as a global force in...
In the fast-moving world of product design, we’ve all seen the headline that refuses to die: “AI is coming for your job.” It’s the digital age’s version of “the robots are taking over” - equal parts hype, fear, and clickbait. But here’s the reality from the...
The best product data is what you have at hand while you're sketching wireframes or tinkering with a prototype. Is "on-stage" too theatrical for someone visible on a video call? Does "off-stage" clearly mean muted and camera-off? These hyper-specific, time-sensitive questions hit mid-flow in...
As a mobile app product manager, you know the value of understanding your users in real-time. Imagine having the ability to capture high-quality, in-the-moment insights that truly reflect what your users are experiencing and what they’re looking for in your app—all without the challenges of aligning teams or...
