Insight Flux is a proprietary multiphasic consumer research process that involves distinct, but interlinked, quantitative, qualitative, and social conversation research components. The technique leverages an iterative process where each phase builds into the next, designed for true ethnographic-level insights to address key business questions. As a mixed-method research approach, Insight Flux gives brands a cohesive, 360° understanding of how consumers shop, buy, and use products.
Insight Flux provides faster, more actionable insights at lower cost versus traditional methodologies. Its combination of social listening along with integrated qual and quant phases reveals unfiltered human truths that predict actual consumer behavior, all with a lower spend compared to separate research phases.
As a system, Insight Flux brings a level of tactical and operational efficiency that is simply unobtainable with conventional approaches.
Insight Flux leverages advanced AI analysis to uncover insights that are not immediately recognizable through other processes.
By tapping into the latest Large Language Model platforms, Insight Flux lets technology do the type of data analysis of participant responses that machines excel at, while focusing human inputs on what they do best; comprehension, empathy, and understanding.
Social listening to define the questions through conversation discovery.
Relevant social media conversations, including forums, blogs, product comments, etc., are minded for identifying trends and topics.
Online surveys to validate the questions and unpack the mechanisms.
Specific audience targets are surveyed to validate and quantify trends identified in the conversation discovery.
Deep dive interviews to uncover the reasons why.
Extensive in-depth interviews of select survey participants to clarify drivers, motivations, and barriers.
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