Archive for the ‘Presenting Research’ Category
Wednesday, January 4th, 2012
Given how common mapping capabilities have become via the Internet and smartphones, it is surprising that we don’t see more geographic mapping in market research. Researchers nearly always look at customer demographics, and a key component of a person’s demographic profile is where he or she lives. This data is far more compelling if you can present it visually with maps.
It does not take super fancy (and expensive) mapping software or specialized firms to create accurate, useful, and compelling maps from market research data. We recently created maps for a client showing where in a three-county region their best customers lived. Everything we used to make these maps was free and publicly available for download on the Internet. Here are the steps we used: (more…)
Tags: Market Research, visualizing data
Posted in Charts and Data Visualization, Data Analysis & Analytics, Future Trends, Market Research, Methods & Tools, Presenting Research | No Comments »
Wednesday, November 9th, 2011
One powerful way to gain visibility and credibility in your marketplace is by sponsoring survey research that documents problems and solutions in areas where you have expertise. To be successful, it requires (1) rigorous research carefully designed to uncover the right topics, and (2) savvy PR work that uses data to tell a credible and compelling story.
The Public Relations Society of America (PRSA) and the American Statistical Association have just published a handy guide for PR professionals that outlines best practices for using, interpreting and reporting statistics in press releases and other PR materials. Some of those best practices include the following: (more…)
Tags: communication, journalism, media, news, omnibus, Public Relations, statistics, stories
Posted in Omnibus Surveys, Presenting Research, Public Relations, Turning Data into Stories | No Comments »
Thursday, October 13th, 2011
Many of us have uneasy feelings when reading statistics that presumably apply to ourselves and our own lives. Often the statistics do not seem to “fit” and seem to misrepresent the lives of real people from which the statistics are derived. It is with good reason that we chuckle when someone tells us that the average U.S. household has 0.64 children in it.
We were reminded of this upon hearing prominent news reports a few days ago that the average household income in the U.S. has fallen by about 10% in the past decade, most of it happening since the start of the recession four years ago. But does that mean most Americans’ incomes are falling? No. Though it is hard not to think so given how the data are being presented and reported.
(more…)
Tags: communication, data, Public Polls, statistics
Posted in Data Analysis & Analytics, Presenting Research, Public Polls, Turning Data into Stories | No Comments »
Thursday, September 15th, 2011
MaxDiff is a survey method used to measure the importance of product features. Subsets of features are presented, and respondents are asked to select which feature is most important and which feature is least important. Its advantage over other techniques is that by forcing a choice from among multiple features, it more strongly differentiates the features if customers are prone to say that all features are important or attractive.
(more…)
Tags: conjoint, Market Research, segmentation
Posted in Charts and Data Visualization, Data Analysis & Analytics, Market Research, Methods & Tools, New Products and Innovation, Presenting Research | No Comments »
Wednesday, September 7th, 2011
It's pretty, but it's chartjunk
Turning data into stories involves not just words, but pictures as well. In the world of quantitative market research, that usually means charts, graphs, and tables. Moreover, just like poorly written sentences that often complicate rather than clarify data, charts and graphs in market research too often suffer from “chartjunk,” as Edward Tufte calls it. Any superfluous details, design elements, or decorations that do not tell the viewer something new about the data are chartjunk.
At Versta Research we write a lot of reports. We also revise others’ reports to help our clients find and more clearly present research stories to their management teams. Here are three of the more common chart design mistakes we see and help our clients avoid: (more…)
Tags: charts, Market Research, satisfaction research, stories, visualizing data
Posted in Charts and Data Visualization, Market Research, Methods & Tools, Presenting Research, Turning Data into Stories | No Comments »
Wednesday, August 31st, 2011
Monty Hall in Let's Make A Deal
The hardest part of quantitative market research is not that it involves numbers, math, or even statistics, but that it involves complex problems in probability.
Over the past several years, psychologists have been documenting how difficult it is for us humans to solve even “simple” probability problems. One fascinating example is a puzzle known as the Monty Hall dilemma based on the 1960’s game show Let’s Make A Deal. Monty would offer his contestants three doors to choose from, one of which had a valuable prize behind it. After the contestant chose, Monty would open one of the other two doors, deliberately choosing one that had no prize behind it. Then he offered the contestant an option of staying with the original choice, or switching to the other unopened door. Which should the contestant do? (more…)
Tags: conjoint, data, Market Research, mathematics, Sampling, statistics, stories
Posted in Data Analysis & Analytics, Market Research, Presenting Research, Sampling, Turning Data into Stories | No Comments »
Thursday, July 14th, 2011
How statistics are calculated and presented has a huge effect on how audiences interpret information and make decisions. A recent study about medical decisions based on drug efficacy data highlights the critical importance of how you turn your data into stories, no matter what industry. The research shows that different stories, all of them true and all of them based on the same data will lead to sharply different assessments and decisions. An article in the New York Times summarized one scenario tested by the researchers:
If your doctor tells you that highly reliable studies have shown that taking a certain pill will cut your risk of getting a serious disease in half, would you take it?
Suppose he adds that the risk is 2 percent for people who do not take the pill, but your risk will be reduced to 1 percent if you do. Would you still take it? And what would you do if he told you that only one of every 100 patients who take the drug will actually benefit from it?
The doctor could have said any of these things, all truthfully, because they are just different ways of describing the same data. (more…)
Tags: communication, data, Market Research, research, stories, visualizing data
Posted in Data Analysis & Analytics, Market Research, Presenting Research, Turning Data into Stories | No Comments »
Thursday, April 28th, 2011
As much as we love numbers, we find ourselves often advising clients against using numeric scales in their surveys. A numeric scale is any response format that asks people to give a number within a certain range to indicate the strength of their feeling or opinion. The insanely popular survey question used to calculate Net Promoter Scores is a good example:
“How likely is it that you would recommend Acme Solutions to a friend or colleague? Please answer on a scale from zero to ten, where zero means not at all likely, five is a neutral score, and ten means extremely likely.”
There are many good reasons to use numeric scales and many types of research for which numeric scales are optimal. The NPS scale is good because it has eleven points with meaningful endpoints and a meaningful midpoint. Research shows that scales like this can be highly reliable and valid, with sufficient variability to allow for sophisticated statistical modeling.
But if your objective is to use survey data for marketing materials, public relations, news releases, or white papers, numeric scales make things difficult. They are not easy to summarize in words, and if you want to use charts that tell quick, compelling stories, you will end up having to do something like this:
A Poor Fit: Pie Charts and Numeric Scales
(more…)
Tags: charts, communication, Data Collection, journalism, media, news, omnibus, Public Relations, stories, Survey Design, visualizing data
Posted in Charts and Data Visualization, Data Collection, Omnibus Surveys, Presenting Research, Public Relations, Survey Design, Survey Tips, Turning Data into Stories | No Comments »
Saturday, January 22nd, 2011
Unless your company has a department dedicated to it, market research can be a hard sell because higher level executives may not believe in the value of research. At Versta, we have a certain sympathy with these executives. In our view, market research in and of itself has little value; it is the outcomes of research—the answers to questions—that can have value.
It is important to distinguish the two because unfortunately there is plenty of research not designed to answer important questions. Research is frequently done because someone has a nagging feeling that they need more information to make better decisions or because doing research is considered a “best practice.” Such research generates lots of data that marketing managers wonder what to do with. Not surprisingly, they and their bosses start to question the value of research.
Our advice is to do market research only after formulating specific questions and information needs and only after you have a clear idea (in writing) of what you will do with the answers to those questions. We have produced a whitepaper entitled The Art of Asking Questions (you can download it by clicking on the image) that outlines a useful process to help you formulate those questions.
The Art of Asking Questions: A White Paper from Versta Research
The key is to articulate five types of questions, including: (more…)
Tags: insight, Market Research, research, Survey Design, value
Posted in Market Research, Presenting Research, Survey Design | No Comments »
Friday, December 17th, 2010
With the magic of the holidays upon us, we got to thinking about “magic” in market research, or the lack thereof. So our just- published quarterly newsletter focuses on magic numbers in market research, arguing that certain “magical” numbers seem to guide much of what we do, whether we realize it or not. The best researchers know the difference between the real magic of numbers and the not-so-real. We hope you find our commentary useful.
There is also, of course, the magic of story-telling, which market research can embrace, but rarely does. We were inspired by a recent New York Times interview with Aaron Levie, CEO of Box.net. What could be more boring than online file storage? But as Levie said: (more…)
Tags: confidence intervals, Market Research, mathematics, response scales, Sampling, statistics, stories
Posted in Market Research, Presenting Research, Public Polls, Sampling, Turning Data into Stories | No Comments »
