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In this book the terms ‘clean language’ and ‘clean language interviewing’ are written using lower case, according to the convention of the American Psychological Association (sixth edition). ‘Clean language interviewing’ is sometimes abbreviated to CLI.

To conclude this book, we take stock of the state of the field of clean language interviewing (CLI). The field has matured considerably in 20 years and yet is still young and emergent. Through articulating the principles of CLI and exploring its application in many fields of practice, we hope this book might come to be seen as a milestone on its path. From its informal beginnings and earliest applications, we believe we can claim with justification that clean language interviewing has developed into a well-specified, well-tested and well-appreciated method that can be used to access both explicitly- and tacitly-held knowledge in a wide range of research projects.

As editors of this volume, we have been gratified and humbled by the ways in which CLI has been used by the contributors. Part II has demonstrated the value of clean language interviewing in both academic and applied research. The applications presented illustrate that CLI has breadth – given the diverse fields in which it has been applied – as well as depth, due to the various levels at which it can be used.

Our aim in this chapter is to reflect on themes that have emerged from the contributions in Part II and the experience of compiling the book as a whole. We begin by reviewing the frameworks that we regard as essential to CLI, then discuss three issues of practice and theory that have emerged from Part II. We sum up the key benefits and limitations of CLI for interviewers and interviewees before indicating some possible directions for future research.

This chapter illustrates the elicitation of metaphor using clean language interviewing (CLI) from a study with a population of 30 business leaders to find out what they could learn through articulating and exploring their metaphors about leadership. This responded to claims in the literature on leadership that mental models are the key to leadership and yet leaders are largely unaware of their models. The aim of the study was to encourage leaders to pay attention to their metaphors and to understand if this could help develop their self-awareness. The entire phenomenological study was based on clean language principles to guide the research process. The chapter includes an extract from one interview to illustrate the use of clean questions to elicit verbal and visual metaphors. It shows the application of the cleanness rating to the interview as a method to understand the relative extent of clean or leading questions and facilitate researcher reflexivity. Moreover, the chapter illustrates the use of drawings as integral to clean language practice. The chapter concludes with findings from the study about facilitating self-awareness through CLI and shares some lessons learned about using CLI with business populations.

This chapter describes an application of clean language interviewing to organisational change work through a process we call modelling shared reality (MSR). This process was developed in 2006 by Stefan Outober, James Lawley, Annemiek van Helsdingen, Wendy Nieuwland and Maaike Nooitgedagt (Van Helsdingen & Lawley, 2012). It is based on the clean language & symbolic modelling process (Lawley & Tompkins, 2000). MSR has been applied in a multitude of settings over the last 15 years in the context of organisational change and development, as well as policy decisions and evaluations and other participative processes.

We believe that how people in organisations behave is steered mostly by how they perceive ‘reality’ (Nieuwland & Nooitgedagt, 2018). MSR aims to facilitate movement and change in organisations by enabling participants to explore their individual and collective perceptions of reality.

In this chapter, we describe the principles and steps of the MSR process, highlighting the role of clean language interviewing (CLI). MSR represents a form of action research, the aim of which is to facilitate organisational change rather than to produce abstract knowledge. Illustrated by a case study of a finance department in a social housing corporation, the chapter shows how CLI can be used to work with shared constructs of reality.

The chapter describes how the application of clean language interviewing (CLI) to management systems auditing (MSA) originated; the resulting Yamagami-Small (YS) process; the challenge of gaining acceptance from auditors and leaders in Japanese manufacturing companies; and the lessons learned as a result of the application of CLI to MSA in a Japanese culture. The chapter will be relevant to quality improvement specialists and more widely to anyone conducting an audit in an organisational setting.

This chapter explores clean language interviewing for qualitative market research. It focuses primarily on how clean language interviewing was used within a process devised by the authors called ‘value-strings’. The chapter describes this process and how it was used in a client project for a food company that wanted to understand their customers' motivations and decision-making in relation to buying and using tinned sweetcorn.

Value-strings provided insights that went beyond the practical, functional attributes of the product to those that related to the benefits to the respondents of consuming sweetcorn and through to more tacit, often difficult-to-reach information about their values and beliefs. The client used the outcomes to develop a new TV advertising campaign.

The steps of the value-strings process, along with the optional metaphor elicitation steps, are described and illustrated using examples from the project. We show how we integrated opportunities for metaphor elicitation into value-strings, adding to the flexibility of the process and accommodating the client's requirement for the project to provide visual metaphors as well as verbal information.

Time being always in short supply in market research projects, we also describe the quick approach we used to enable respondents to access and generate metaphors. Some findings from the project, along with challenges and learnings are offered.

Underpinning clean language interviewing is a set of skills that allow the interviewer great facility in tracking what has been presented. These skills include minimising personal inference and making an informed choice of what question to ask. They are grounded in the logic of the interviewee's data and the purpose of the interview.

This chapter makes visible four hidden skills I identified through reflection on a doctoral study I conducted using clean language interviewing. These are, how I: ‘parcel out’ sentences in order to build visual-spatial schema; apply content-free codes during the interview; decide what is salient in the interviewee's words and gestures; and use adjacency to navigate my way around the data. Since these skills are applied moment-by-moment during the interview, I refer to them as ‘coding in-the-moment’. I conclude with a comparison between grounded theory methodology and clean language interviewing.

This chapter describes the work-life balance project, which was the first to investigate the potential of clean language as an academic research interview methodology (Lawley, Meyer, Meese, Sullivan, & Tosey, 2010). It resulted in the publication of an article in the British Journal of Management (Tosey, Lawley, & Meese, 2014) that has since been cited in several academic papers, including Langley and Meziani's (2020) review of interview methodologies in the field of organisational change. This chapter describes the project's methodology and findings and highlights six lessons learnt that have helped to inform the further development of clean language interviewing.