Decision Analyst's experts have shared their knowledge and advice in the following white papers, blogs, and videos. The topics cover innovation, marketing research, and advanced analytics.
Ask 10 different market insights professionals how they manage concept testing, and you’re liable to get 10 different answers. There likely isn’t a singular correct answer. Some options are going to be better than others, but any testing is better than just guessing.
Read MoreElevating a commodity product to a premium brand is all about highlighting differentiation and creating perceived value beyond the basic functional promise of the product. This work requires a deep understanding of the target audience.
Read MoreA well-designed new product concept testing system, overseen by experienced and knowledgeable researchers, can vastly improve a company’s ability to develop successful new products or services. Here are some best practices to guide development of a new product concept testing system.
Read MoreAfter developing many segmentation solutions, researchers are left with the conundrum of deciding which solution is optimal. While selecting a good segmentation solution can and should consider statistical outcomes, relying only on mathematical results can cause problems – namely, base size and differentiation issues.
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Decision Analyst offers two free software packages for marketing researchers: STATS™ 2.0 and ChoiceModelR™.
Learn MoreVideos, Blogs, and Articles on marketing research, strategy, and advanced analytics by Decision Analyst's experts.
Learn MoreKeep up to date with what is going on at Decision Analyst, learn about the latest consumer trends, and read up on the Decision Analyst's Economic Index.
Learn MoreRejection of a null hypothesis when, in fact, it is true. The Type I Error rate is the probability that the null hypothesis (that there is not a difference between the experimental and control groups, for example) will be rejected when it is true.
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