AndPS is an innovative research methodology combining quantitative natural language processing with interpretive discourse analysis, respecting the richness of qualitative verbatim data but, crucially, capable of being applied at scale.
Most organisations collect large amounts of qualitative customer-consumer-user-citizen data. This comes from research sources, such as open-ended survey responses and Net Promoter Score (NPS) verbatims, as well as through naturally-occurring complaints and comments. These represent potentially rich sources of insight that are often left underexploited or ignored.
At its most basic, the AndPS approach is a comparative method, allowing you to explore differences between groups of people (or between various points in time) and to contrast patterns in language use between, for example, young people and older people, between residential customers and business customers, between verbatims from last quarter and those form last year, etc.
However, AndPS can also be used to do ad hoc qualitative deep-dives of textual data sets, or simply as an analytic resource to aid and support qualitative interpretations, allowing analysts to develop potentially productive hypotheses quickly, and complementing quantitative results.
If you collect qualitative data through open-ended survey responses, Net Promoter Score (NPS) verbatims, consumer complaints, social media or any other methods, we would be delighted to talk to you about getting more value from this data.
Just get in touch.