Abstract:
Reading articles about market research and listening to what research buyers tell us they need, there continues to be a hunger for research to: 1. Capture authentic emotion 2. Deliver actionable diagnostic insight 3. Inspire the confidence to act with robust findings. MM-Eye has created a hybrid qual-quant research technique that does all 3: 1. Collecting emotionally rich qual data at scale 2. Converting it into quant data 3. Using a next-gen AI-powered text analytic approach we have custom designed for market research. It is called ThoughtScape and we would like to share our approach and the learnings we have gained along the way. ThoughtScape is theoretically robust, being grounded in the latest neuroscience understanding of how the brain works. It is also backed up by a decade of use, having been the core of the global brand research we undertake for Jaguar Land Rover. And to illustrate the unique insight ThoughtScape delivers we've conducted a demonstration study. The topic we have chosen is airline brands and the study directly contrasts two matched samples; one using traditional survey approaches, the other including ThoughtScape. And we'd like to share these results to demonstrate the proof of concept.
This could also be of interest:
Research Papers
The basic of design for emotion
Catalogue: Congress 2006: Foresight
Author: Pieter Desmet
 
June 15, 2006
Research Papers
Revolutionising Asia
Catalogue: Asia Pacific 2016: Get Connected!
Authors: Robert Fry, Jennifer Serrano, Michael Fegan, Bonnâe Ogunlade
Companies: Research Now SSI, VoxPopMe Ltd
May 19, 2016
Research Papers
The way we drink
Catalogue: ESOMAR Public Sector Social Research 2004
Authors: Pete McMillen, Sandra Kirby
 
May 9, 2004
