Let's rank the NFL team logos with the MaxDiff Market Research Technique. This is what ad agencies and big companies use to pick the best logos and ad designs because it is the best ranking system.

Posted on: May 11, 2018   |   Posted by: Refs4Pats NFL Blog2

Click the link below to begin the survey: https://NFLLogos.sawtoothsoftware.com/cgi-bin/ciwweb.pl?studyname=NFLLogosTest About this: I'm a market researcher and just for fun I field a pretty popular weekly poll in the fall on the college football subreddit, using an alternative ranking methodology called MaxDiff, a technique we use in market research. I also did one for NFL last year. Since it is the offseason, I figured it would be cool to run one of these ranking the NFL's logos. In the world of market research, this is really the gold standard for how you would rank 20+ logos. This is what the big companies and advertising agencies use to pick the best logos and ad designs. Basically, an ad agency will design 20+ logo options, and then to figure out which one of the designs is the winner, they put them in a MaxDiff study like this one. More information about MaxDiff is below: About the MaxDiff System: People can't give you a full listing of their rankings of teams, coaches, logos, or whatever is being ranked. Their top and bottom rankings may reflect their true preferences, but it is a toss up if their middle-ranked items actually reflect who they feel are the best teams. MaxDiff solves this problem. Instead of having everyone provide a straight ranking (i.e. Team X is "1", Team Y is "2"), respondents instead are presented sets of four items. In each set they indicate the item they feel is the best and worst. I use fancy math at the end of the study to calculate a full ranking for each respondent. This ranking system has an advantage over traditional rankings in the following ways: Interval level data The distance between items ranked 1 and 2 need not be the same as the distance between items ranked 3 and 4. This lets us see natural breaks between teams that a traditional ranking does not give. In other words, if everyone feels like there is a drop off after the top five teams, this method will capture that when a traditional ranking will not. If everyone feels like the number one team is just way way ahead of all the other teams, this method will capture it when a traditional ranking would not. More accurately reflects middle ranked teams Research on research (yes, that is a real thing) shows that people aren't really able to rank a long list of items. They can tell you their top two or three items and their last few items, but it is a toss up if their middle ranked items really reflect their true preferences. This method gets around that by breaking the task down into sets of four, so that everyone's middle ranked items actually reflect their true opinions. If you'd like a demonstration of how it has worked in r/cfb, here's a link to a post I did last fall. http://fanjuicer.com/2017/11/week-13-maxdiff-college-football-rankings-fans-agree-with-the-cfp-committee-that-oklahoma-auburn-and-clemson-are-the-cream-of-the-crop-but-they-dont-agree-on-who-should-be-1 Here's another example of one of these I did a couple weeks ago for the NBA subreddit http://fanjuicer.com/2018/04/nba-playoff-rankings submitted by /u/The_SecretSauce [visit reddit] [comments]