As researchers building tech, it’s impossible for us not to see the parallels between Insight Debt and Tech Debt. In software, Tech Debt happens when quick fixes and short-term decisions pile up, making future development slower and more complex. Insight Debt is the research equivalent. The thing about Insight Debt is that it doesn’t announce […]
Every research team knows they should be storing, organizing, and reusing insights better. Yet, despite best intentions, Insight Debt keeps growing: valuable insights disappear, research gets repeated, and decision-makers grow skeptical of past findings. The issue isn’t just about storing data; it’s about how research is designed, conducted, and applied. Insight Debt comes in many […]
There’s a certain romance to the grind of market research—those long nights spent analyzing messy datasets, cross-referencing insights, and uncovering hidden patterns. The best researchers thrive in this challenge, developing skills like skepticism, storytelling, and strategic thinking. But today, many insight teams are overwhelmed by logistics, admin work, and inefficient workflows, leaving little time for […]
In today’s data-driven world, we hear endless talk about the power of big data. Massive datasets are often heralded as the key to revolutionizing industries and unlocking groundbreaking insights. But, as insight professionals, we know that the real game-changing insights often come from something smaller, sharper, and more personal—micro data. What Is Micro Data? Micro […]
Gaining Actionable Insights from Data is the foundation of the Market Research Discipline. Naturally, the developments in data-focused domains like AI and ML have the undeniable power to transform the way Market Research is conducted. In fact these sciences are not new in the world of MR. Foundational models of Machine Learning like Decision Trees […]
In today’s data-driven world, Artificial Intelligence (AI) has become a catch-all phrase for any application powering intelligent decisions. Since Machine Learning is an approach to achieving AI, the two terms are naturally connected. However, people often use the term AI when they are specifically referring to machine learning processes, and the two terms end up […]
