We write for Quirk's: Why the fundamentals of research matter more in an AI-driven world

As AI becomes more embedded in research workflows, it is easy for the conversation to focus on what the technology can do. The more important question may be what researchers need to continue doing themselves.

In her recent article for Quirk's, Infotools Regional Engagement Director Andrea Mitlag reflects on how decades of technological change have shaped the research industry and why the core principles of good research remain just as important today.

The topic is particularly relevant as AI capabilities continue to evolve across the research technology landscape. Earlier this year, we launched Harmoni 3 which includes ChatHarmoni, a generative AI research companion designed to help researchers explore data more efficiently while maintaining the rigor and expertise that underpin good research. Andrea's article touches on a similar theme: the value of technology is ultimately shaped by how researchers apply it.

As Andrea writes, "The role is still to understand people, represent their experiences accurately and ensure that those perspectives inform decisions."

Technology changes. The purpose of research doesn't.

The research industry has never stood still. Over the past few decades, researchers have moved from paper surveys and face-to-face interviewing to online research platforms, automated workflows and AI-supported tools.

Each shift has brought new capabilities and new efficiencies. Today's tools can process large volumes of information, surface patterns quickly and help teams move from data to insight faster than ever before.

Yet Andrea argues that the fundamental purpose of research has remained remarkably consistent.

Research exists to help organisations better understand the people they serve. The methods may change, but the responsibility to accurately capture and represent human experiences remains the same.

Staying connected to the people behind the data

One of the themes running throughout Andrea's article is the value of maintaining a strong connection to respondents and the real-world context behind research findings.

Earlier in her career, researchers often spent more time directly engaging with participants. They observed body language, listened carefully to how people expressed themselves and gained a deeper understanding of the nuances that don't always appear in structured datasets.

Those approaches were often slower and more labour-intensive, but they helped keep researchers close to the people whose experiences they were studying.

As new technologies continue to transform the industry, Andrea suggests there is value in preserving that mindset.

"That connection is something worth holding onto as the industry continues to evolve."

Why fundamentals matter more than ever

The article also explores a challenge facing many research teams today. As technology becomes more capable, there can be a temptation to place too much trust in outputs without fully understanding how they were generated or what context may be missing.

According to Andrea, this is exactly where research fundamentals become most important.

Strong research starts with asking the right questions, designing studies that capture meaningful information and interpreting findings within a broader context. Those skills help researchers make better use of new technologies while avoiding the risk of becoming overly dependent on them.

As Andrea explains, "Understanding how to frame a research question, how to design a study that captures the right information and how to interpret findings within a broader context are skills that remain essential."

These capabilities are not separate from technological progress. They are what allow researchers to use new tools effectively and responsibly.

Finding the right balance

Rather than framing the future as a choice between human expertise and artificial intelligence, Andrea sees the opportunity in bringing both together.

AI can support exploration, identify patterns and reduce manual effort. Researchers contribute context, judgment, cultural understanding and the ability to recognise what may be missing from the story the data appears to tell.

This is also the philosophy behind recent innovations across the insights industry, including Infotools' own ChatHarmoni. Rather than replacing researchers, ChatHarmoni was designed as a research companion that helps guide exploration and uncover meaningful patterns while leaving interpretation, validation and decision-making in the hands of experienced insights professionals.

The most effective research teams will be those that combine these strengths while remaining grounded in the fundamentals that have always defined good research practice.

That means continuing to ask thoughtful questions, investigating findings carefully, paying attention to what remains unsaid and staying connected to the people represented in the data.

Read the full article

As AI continues to reshape how research is conducted, Andrea's article offers a timely reminder that technology works best when built on a strong foundation of research expertise.

Read Andrea's full article in Quirk's: https://www.quirks.com/articles/why-the-fundamentals-of-research-matter-more-in-an-ai-driven-world