Buzz Topics: Hype or Gamechangers? (A GRIT Sneak Peek)

A sneak peak at the Q3/Q4 GRIT Report looking at the buzz topics in market research. Which are gamechangers and which are just hype?

 

Editor’s Note: The latest GRIT report will be released next week (watch this space!), but we wanted to give our readers another sneak peek before it’s widely available. In case you missed it over the holidays, we previously posted the analysis by Ray Poynter on the adoption of emerging methods. This time we’re including my analysis of what GRIT participants thought about a variety of different buzz topics that blog readers should find very familiar. Enjoy!

 

Another new area we explored in this wave is the assessment of GRIT respondents on buzz topics. We asked participants to rate 7 topics that seemed to be ubiquitous in the research industry in 2016 and to let us know whether they thought they were game changers, an interesting trend, too early to tell, much ado about nothing or not sure. The topics were automation, AI, marketplaces, big data, storytelling, VR/AR and attribution analytics.

What did our respondents think?

Over a third of both clients and suppliers said automation is a game changer with well over another third saying it was a trend that bore watching. Those folks have obviously been paying attention, since much of the conference stage time and blog real estate in 2016 has been dominated by various and sundry approaches to automate large chunks of the research process. Based on the emergence of literally dozens of new suppliers (some who are experiencing great success) in the automation space, we’d agree that it’s likely a game changer.

Big Data drew an even greater number of adherents almost equally between clients and suppliers at roughly 40% considering it a game changer, followed by the perennially popular storytelling. GRIT respondents are divided equally over the hottest topic of the year – AI – on whether it will in fact change the game or if it’s just an abstract trend to follow for now.

GRIT respondents were definitely taking a wait-and-see attitude toward marketplaces, VR/AR and attribution analytics, with relatively few thinking they were game changers… yet.

So what does this really tell us?

It seems that just a few short years ago, topics like mobile research, social media analytics, communities, etc., were the hype terms everywhere. Today those are mainstream approaches that are continuing to redefine many aspects of the research industry.  If history is any indication, some of these hype(d) terms will continue to linger on the fringes due to unclear ROI or issues around impact, scale, speed and cost.  However, a few may become the next “online”, meaning a shift so revolutionary that the entire industry must pivot in order to stay relevant.

We would also be remiss if we didn’t point out, again, the internal consistency of the responses to these questions and other areas of exploration in this GRIT edition. What aspects of the research process can automation, AI, big data etc. impact? Data collection/gathering, synthesis, analysis and reporting. Regardless of data source.  Who is needed to help make that happen? Data scientists. Where does that leave human researchers? As consultants and storytellers. The connections are clear.

We’ll continue to monitor these and other topics to see which ones are moving from hype to game changer.

artificial intelligenceautomationbig datagrit reportinnovationstorytellingvirtual reality

Comments

Comments are moderated to ensure respect towards the author and to prevent spam or self-promotion. Your comment may be edited, rejected, or approved based on these criteria. By commenting, you accept these terms and take responsibility for your contributions.

Leonard Murphy

Leonard Murphy

Chief Advisor for Insights and Development at Greenbook

774 articles

author bio

Disclaimer

The views, opinions, data, and methodologies expressed above are those of the contributor(s) and do not necessarily reflect or represent the official policies, positions, or beliefs of Greenbook.

More from Leonard Murphy

Fixing Sample Quality: Adrien Vermeirsch on Fraud, Profiling, and the Future of Human Data
CEO Series

Fixing Sample Quality: Adrien Vermeirsch on Fraud, Profiling, and the Future of Human Data

Enlightn CEO Adrien Vermeirsch discusses sample quality, respondent fraud, AI-moderated research, an...

Patrick Comer on Building the Infrastructure Behind Modern Market Research
CEO Series

Patrick Comer on Building the Infrastructure Behind Modern Market Research

Patrick Comer discusses AI, research quality, synthetic data, leadership, and how Cint is shaping th...

Kristi Zuhlke: Stop Talking About AI and Start Building
CEO Series

Kristi Zuhlke: Stop Talking About AI and Start Building

Explore Kristi Zuhlke's practical approach to AI, synthetic consumers, and how insights teams can st...

Can AI Deepen Human Insight? Rhiannon Price on the Evolution of Qualitative Research
CEO Series

Can AI Deepen Human Insight? Rhiannon Price on the Evolution of Qualitative Research

Rhiannon Price explores how AI is transforming qualitative research, empathy, and human insight in t...

Brand Collaboration Is More Than A Logo: What Bridgerton Viewers Taught Us About Brand Partnerships
The Prompt

Partner Content

Brand Collaboration Is More Than A Logo: What Bridgerton Viewers Taught Us About Brand Partnerships

Discover what makes entertainment brand collaborations succeed using AI-moderated interviews and consumer insights.

Niels Schillewaert

Niels Schillewaert

Head of Research and Methodologies at Conveo

How to Trust AI in Research Without Trusting It Too Much
The Prompt

How to Trust AI in Research Without Trusting It Too Much

Learn how market researchers can verify AI-generated insights, avoid false confidence, and build trust through calibrated validation.

Ashley Shedlock

Ashley Shedlock

Content Producer at Greenbook

Fixing Sample Quality: Adrien Vermeirsch on Fraud, Profiling, and the Future of Human Data
CEO Series

Fixing Sample Quality: Adrien Vermeirsch on Fraud, Profiling, and the Future of Human Data

Enlightn CEO Adrien Vermeirsch discusses sample quality, respondent fraud, AI-moderated research, an...

Beyond Engagement Metrics: How Market Researchers Can Measure Trust in AI-Generated Insights
Artificial Intelligence and Machine Learning

Beyond Engagement Metrics: How Market Researchers Can Measure Trust in AI-Generated Insights

Learn how market researchers can measure trust in AI-generated insights through validation, adoption, confidence, and governance metrics.

Ashley Shedlock

Ashley Shedlock

Content Producer at Greenbook

Sign Up for
Updates

Get content that matters, written by top insights industry experts, delivered right to your inbox.

67k+ subscribers