6 min read
In 2026, research teams move beyond AI adoption. Learn how to build inclusive panels, reduce bias, and deliver more credible, representative insights.
3 min read
Scale smarter with AI. Reduce constraints, increase speed, and expand globally without losing human strategic direction.
3 min read
By lowering social pressure, AI-moderated research creates private spaces where people speak freely and insights become more reliable.
5 min read
Explore how to reduce bias in qualitative research with proven methods for sampling, moderation, analysis, and AI support.
5 min read
A candid Q&A with Diane Hessan explores her career, industry disruption, and timeless lessons for the future of insights.
4 min read
Should qualitative moderators share personal info? Explore how balancing disclosures fosters empathy while avoiding bias to ensure genuine research in...
5 min read
Explore the issue of AI bias in cultural representation. Learn how AI models can perpetuate and amplify biases, especially for underrepresented cultur...
3 min read
Data is the foundation of any research. To ensure accurate and reliable outcomes, researchers need to craft questions that are neutral, objective, and...
The Greenbook Podcast
Are your judgements obscuring your consumer feedback? Empathy activist & CEO of Ignite 360, Rob Volpe, joins the GreenBook Podcast to discuss the powe...
6 min read
When conducting user research, your recruitment screener has a pivotal role to play. In short, it’s your key to finding the best possible participants...
20+ min read
Early stages of a new marketing ecosystem powered by personal data.
5 min read
Data doesn’t have any pure meaning; it must be interpreted.
6 min read
How to ensure research with lesser-heard groups is valid, successful, and, importantly, positively impacts them.
7 min read
To successfully harness diversity in market research you need to be inclusive, sophisticated, and considered.
5 min read
Four ways to develop cultural intelligence and increase representation of diverse groups in the research industry.
4 min read
Joel Rubinson details the great risks if we abandon the use of stat testing of marketing data.
5 min read
Questions marketers can ask themselves to expose biases and assumptions that inhibit the marketing process
3 min read
Move beyond biases to discover deeper, credible consumer insights.

7 min read
To understand consumers holistically, we must look at a variety of contexts with their corresponding behaviors, cognitions, and emotions.

6 min read
If given the right tools, bias can be overcome.

4 min read
Bias impacts ALL of us, not just voters and consumers, but also pollsters, researchers, and decision makers.
4 min read
The Item Count method can be used to reduce the effects of social desirability distortion.

4 min read
Allan Fromen predicted a Trump presidency and out-forecasted all the experts. Or did he?
3 min read
The recent US election landed a crushing blow to the research industry’s credibility. So what’s to be done?

6 min read
Concerns about panel quality are hardly new. But they are now boiling over into the public domain.

5 min read
What are the implications for market research of the results from the Reproducibility Project?

5 min read
Research-on-research is a good thing, but not if we build our biases into the design.

5 min read
You see research findings and statistics quoted by the media all the time. Here’s why you’d better be careful before you actually use them.

2 min read
While we value privacy, the effort required to act is too great. We’d all be more mindful of privacy, if only it were the default option.

4 min read
Unbiased is better than biased, all else being equal. But all else is NOT equal far more often than taken into considereation.
5 min read
With all of the changes in MR, we can’t forget the importance of basic skills. Without the basics, all the shiny new stuff doesn’t work.

7 min read
Our reliance on IQ and educational qualifications as an indicator of competence can be a recipe for disaster.

5 min read
One of the fundamental tenets of research is not to affect the research subjects (and results) by the simple act of doing the research.

4 min read
It’s imperative to understand what type of skew your selected methodology may be bringing to the data.