By Samir Sharma ~ with research contributions from Pulse Labs A few weeks ago, I was deep in a debugging session with an AI coding tool. Not a quick question. A real session. Iterative, stateful, building on itself. The kind where you are 30 to 45 minutes in, the model has...
Over the last few months, we’ve been speaking with leaders across the research landscape - from boutique strategy firms to internal research teams. While the specific project goals vary, the operational headaches are remarkably consistent. Invisible taxes have emerged, and are quietly stifling the ability of brands and agencies...
In a fast-moving market, research tools are only one part of the equation. The core differentiator between a transaction and a transformative partnership is the depth of alignment and transparency established right from the start. When a collaboration truly clicks, it usually centers on these four areas: 1. Proficiency and...
To turn deep insights into immediate action, organizations will first need to overcome the bottlenecks that can make research slow and rigid. At Pulse Labs, we’ve identified four specific challenges that we see as barriers for research teams.
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...
Continuous Improvement in LLM Applications: Taking a User-Centric Approach Leveraging a Continuous Feedback Loop | Pulse Labs
Five Reasons UX Researchers Should Use Naturalistic Observation
How to truly close the mobile app UX feedback loop between your users and your product teams to ensure you’re focusing on what’s most impactful.
In the rapidly evolving field of artificial intelligence (AI), a push for smarter, more adaptable systems is the highest priority of some of the world’s largest technology companies. However, as we strive for progress, we’re encountering a unique challenge: the risk of "inbreeding" within AI models....
Last week, the word petaflop was dropped multiple times during NVIDIA founder and CEO Jensen Huang’s GTC keynote. According to Gemini, a petaflop is “a unit of measurement for a computer's processing speed. It stands for quadrillion (one thousand trillion, written as 1,000,000,000,000,...
As experienced UX researchers, you've likely mastered the fundamentals of user experience testing and research methodologies. However, the field of UX is constantly evolving, presenting new challenges and opportunities for growth. In this article, we'll explore advanced strategies and techniques to elevate your UX research game...
