AI is transforming every stage of research, from study design and participant recruitment to analysis and reporting. As more vendors introduce AI-powered capabilities, it has become increasingly difficult to separate genuine innovation from well-packaged marketing claims.

Many platforms promise faster insights, but speed alone doesn't improve research quality. Without understanding how AI works behind the scenes, organizations risk investing in tools that automate tasks without delivering better decisions.

What this creates:

• Difficulty comparing vendors objectively

• AI claims that are difficult to verify

• Research decisions driven by demos instead of evidence