Book Image

From Voices to Results - Voice of Customer Questions, Tools and Analysis

By : Robert Coppenhaver
Book Image

From Voices to Results - Voice of Customer Questions, Tools and Analysis

By: Robert Coppenhaver

Overview of this book

Voice of Customer (VoC) is one of the most popular forms of market research that combines both quantitative and qualitative methods. This book is about developing a deeper knowledge of your customers and understanding their articulated and unarticulated needs. Doing so requires engaging with customers in a meaningful and substantive way – something that is becoming more and more important with the rise of the increasingly connected world. This book gives you a framework to understand what products and features your customers need, or will need in the future. It provides the tools to conduct a VoC program and suggests how to take the customer input and turn it into successful products. This book also explains how to position and price your products in the market, and demonstrates ROI to the management team to get your product development funded. By the end of this book, you will have a thorough understanding of the relevant stages of a VoC project. It will show you how to devise an effective plan, direct the project to their objectives, and then how to collect the voice of the customer, with examples and templates for interviewing and surveying them.
Table of Contents (14 chapters)
From Voices to Results – Voice of Customer Questions, Tools, and Analysis
Credits
About the Author
Preface
Epilogue

Summary


Previous to this chapter, we discussed how best to get customer insights, feedback, statements, quotes, and images, which, collectively, we refer to as the customer voices. In this chapter, we reviewed how to transform the voices of multiple interviews into something that is actionable by your organization. We reviewed the best way to capture and share key insights with your interview team using the sticky note concept. We talked about having a post-interview meeting where all parties can come together and share the insights they have received, and how to merge the voices from the various interviews into one superset of data using the affinity process.

This chapter also discussed taking the customer voices and turning them into customer requirements using the customer statements, images, and other keywords. After this, we reviewed using the affinity process again to help us group key feedback into clusters that provided structure to the customer requirements. Lastly, we prioritized...