Research Methodologies

February 9, 2016

3 min read

Bias in Primary Elections and its Applicability in New Product Research

Bias in Primary Elections and its Applicability in New Product Research

Could there be situations in which some purposely predisposed informational bias is beneficial?

So I certainly do not follow politics closely, even during a presidential election year, which I guess could also be read as I don’t know very much about politics. But that small disclaimer aside, watching the news coverage of the recently passed Iowa Caucuses and upcoming New Hampshire primary, something struck me as peculiar in this process. These events happen in succession, not simultaneously. So first is the Iowa Caucus, then the New Hampshire primary, followed by the Nevada and South Carolina primaries, and so on with the other states.  And after each event is held the results are (almost) immediately known. So the folks in New Hampshire know the outcome from Iowa. The folks in Nevada and South Carolina know the outcomes from Iowa and New Hampshire.

Doesn’t this lead to inherent and obvious bias? That’s the market researcher side talking. In implementing questionnaires we wouldn’t typically make known the results from previous respondents to those taking the survey later. This would surely have some influence on their answers that we wouldn’t want. We need a clean, pure read (as best as we can with surveys) as to consumer opinions and attitudes. Any deviation from this would surely compromise our data.

But then again, is this always the case? Could there be situations in which some purposely predisposed informational bias is beneficial? I say yes! Granted one needs to be cautious and thoughtful when exposing respondents to prior information, but sometimes in order to get the specific type of response we want, a little bias is helpful. If asking about a particular product or product function, we may provide an example or guide so they can fully understand the product. E.g. 10 GB of storage is good for X number of movies and X number of songs.

But circling back to the notion of letting respondents see the answers from previous respondents, even within the same survey, this could be quite helpful in priming folks to start thinking creatively. If we wish to gather creative ideas from consumers, it’s easy enough to ask them outright to jot something down. But it’s difficult to come up with new and creative ideas on the fly without much help. And responses we get from such tasks validate that point as many are nonsense, or short dull answers. So instead, we could show a respondent several ideas that have come up previously, either internally or from previous respondents, to jumpstart the thinking process and either edit/add onto an existing idea, or be stimulated enough to come up with their own unique idea. And truth is, it works! We at TRC implement this exact new product research technique with great success in our Idea Mill™ solution, and end up with many creative and unique ideas that our client companies use to move forward.

So while the presidential process strikes me as odd since any votes cast in other states following the Iowa Caucus may be inherently biased, there are opportunities where this sort of predisposition to information can work in our favor.

 

Photo by Jonathan Simcoe on Unsplash

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.

Westley Ritz

Westley Ritz

1 article

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.

ARTICLES

How to Write a Great Case Study in the Insights and Analytics Industry
Research Methodologies

How to Write a Great Case Study in the Insights and Analytics Industry

3 min read

Discover how impactful case studies connect data to decisions. Learn to craft compelling narratives that showcase research's vital role in driving bus...

Karen Lynch

Karen Lynch

Editor-in-Chief at Greenbook

The Lines around User and Market Research Are Blurring, so What Happens Next?
Research Methodologies

Partner Content

The Lines around User and Market Research Are Blurring, so What Happens Next?

How are research roles changing? Explore how AI, rising demand, and earlier involvement are reshaping market and user research.

Louise Jones

Louise Jones

Senior Brand Manager at Maze

When Bad Online Sample Looks Good Enough
Research Methodologies

When Bad Online Sample Looks Good Enough

How can survey fraud survive quality checks? Learn what research buyers should ask to evaluate respondent quality and data integrity.

Chandra Limiarja

Chandra Limiarja

Data Analyst at Independent

Are We Cleaning Too Much? The Missing Signals in Post-Survey Review
Research Methodologies

Are We Cleaning Too Much? The Missing Signals in Post-Survey Review

How can AI improve survey data cleaning? Learn how richer fieldwork signals can reduce false positives and increase confidence.

Karine Pepin

Karine Pepin

Co-Founder at The Research Heads

Sign Up for
Updates

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

67k+ subscribers