Voice of the customer
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Voice of the customer (VOC) is a term used in business and Information Technology (through ITIL, for example) to describe the in-depth process of capturing a customer's expectations, preferences and aversions. Specifically, the Voice of the Customer is a market research technique that produces a detailed set of customer wants and needs, organized into a hierarchical structure, and then prioritized in terms of relative importance and satisfaction with current alternatives. Voice of the Customer studies typically consist of both qualitative and quantitative research steps. They are generally conducted at the start of any new product, process, or service design initiative in order to better understand the customer's wants and needs, and as the key input for new product definition, Quality Function Deployment (QFD), and the setting of detailed design specifications.
Much has been written about this process, and there are many possible ways to gather the information – focus groups, individual interviews, contextual inquiry, ethnographic techniques, etc. But all involve a series of structured in-depth interviews, which focus on the customers' experiences with current products or alternatives within the category under consideration. Needs statements are then extracted, organized into a more usable hierarchy, and then prioritized by the customers.
It is critical that the product development core team are involved in this process. They must be the ones who take the lead in defining the topic, designing the sample (i.e. the types of customers to include), generating the questions for the discussion guide, either conducting or observing and analyzing the interviews, and extracting and processing the needs statements.
Voice of the Customer® is the Trade Mark of VIRTUATel Limited 
- Application of Text Analytics tools to analyze Voice of the Customer data
- Morrison, Scott (2008-01-28). "So Many, Many Words". The Wall Street Journal. Retrieved 2010-04-14: Attensity Text Analytics Solution for Voice of the Customer Analytics. Check date values in: