Feedback collectionCASE STUDY
A collaborative approach to add bottom-up feedback collection to top-down traditional market research
Ingedata worked closely with their Client to collect more accurate feedback from automotive markets.
Online forum discussions were analyzed and tagged to train a Natural Language Processing model at automatically categorizing conversations..
The use of an industry-specific ontology of classes allowed to push market feedback directly to the person-in-charge. For example, sentiments and feedback on the aircon are now directly communicated to the Engineering team for aircon design.