Presented Unspoken® at MIE ’17 – Food for Thought

Presented Unspoken® at MIE ’17 – Food for Thought
1 February 2017
Utrecht, The Netherlands

Everyone agrees that market research nowadays must be mobile-friendly due to the new reality of how mobile devices have become the center of our daily routines. Yet, how this goes beyond a mobile view only is not always clear. This is why we developed Unspoken®, our new mobile research method with a purpose to accurately predict how your consumers behave and decide.

We presented this fresh approach to engaging mobile surveys at the biggest Netherlands’ Marketing & Insights Events (MIE)’ 17, which was held on February 1-2, 2017.

Everything you need to know about Unspoken®

Presenter: Jet Bouman-Kruithof, Research Manager and Joyce van Heeswijk, Research Manager

https://www.slideshare.net/SKIMgroup/unspoken-swipe-left-swipe-right-the-only-way-is-mobile

If you are unable to view the slides on this page, click here to view our slides on SlideShare. You can also download the PDF directly here.

Unspoken®: Swipe left, swipe right – The only way is mobile

Nowadays, people simply swipe or tap their screen to share their opinions with the world. As a research industry we have to adjust to this new reality if we want to stay in touch with who our customers really are. Measuring purely rational processes is no longer good enough. Instead, bridging rational and emotional drivers is key to accurately predicting how consumers behave and decide.

Inspired by these developments, we are introducing Unspoken®. By combining intuitive mobile techniques with psychological theory and advanced modeling, this mobile-only implicit application opens the door to a new generation of research solutions.

  • How to capture non-rational drivers through a mobile friendly research design based on implicit research techniques
  • How “natural” mobile techniques such as tapping and swiping can be used to increase respondent engagement
  • A real-life case study will demonstrate how these techniques improve performance over traditional survey designs