Last summer, I started a market research internship at C+R Research focusing on quantitative research services. That experience was the springboard to my career as a researcher. I look back now at the value of the experience from my internship coupled with the professional maturity that I am continuing to develop in my current role as an associate analyst. I have gotten the chance to work on multiple teams and gain a better perspective of the industry as a whole.
A summary of key takeaways from the NY Quirk’s Event which includes thoughts on the adoption and use of machine learning, VR and big data in marketing research.
As we make decision after decision during the day, our ability to make quality decisions decreases. Without realizing it we are depleting our mental energy, a finite source.
Thanks to a generous wife, I am now wearing a Pebble on one wrist and a Fitbit Force on the other. Even though she wasn't generous enough to give me Google Glass, clearly it was a wearable holiday at our house. I felt a bit behind these items by giving her a new iPad - how last year... or even, how two years ago.
By Bob Relihan
Last year I discussed why it may be wise to employ qualitative methods after a quantitative investigation. This approach, of course, reverses the traditional order of such things. Many of us were taught to use in-depth interviews or focus groups to generate hypotheses for quantitative testing. But, as product development cycles get shortened it is tempting to short-circuit the initial qualitative phase of a research program and move straight to quantification. Marketers, after all, know their category and their consumers. Right?
(If you haven't already, be sure to read part 1 to this blog post.)
I'm assuming that if you're reading this you're probably a marketing researcher. If that's the case, you probably have access to a bunch of survey questionnaire. Look on your hard drive or reach into your file drawer if you're old school and take out three or four. Look them over and back up far enough so you're looking at their general structure rather than the details. What do you see? I'll bet they all share a similar approach: