The many faces of research

Anyone who has ever commissioned, designed, conducted research will find these common but thorny questions all too familiar:

  • “What is this research going to give us that we can’t get from analytics and iterative design?”
  • “Don’t you need to ask all your interviewees the same set of questions so you can compare their answers?”
  • “Can you quantify these findings?”
  • And with qualitative research, the dreaded: “That’s an awfully small sample. Are these findings statistically significant?”

These questions can be difficult to answer clearly, succinctly and definitively. Wouldn’t it be helpful to have some kind of framework or model to help people understand how the various kinds of research (especially qualitative and quantitative fit together) to provide an organization what it needs to effectively engage and serve their customers?

James Spradley in The Ethnographic Interview provides such a framework. His approach is the identification of four different roles a research participant can play, each with a different relationship between researcher and participant and each producing a different kind of finding:

  • Informant – In ethnography, a participant is related to as an informant. Informants are “engaged by the ethnographer to speak in their own language or dialect”, providing “a model for the ethnographer to imitate” so that “the ethnographer can learn to use the native language in the way informants do.” The informant is related to as a teacher. What is learned is how the participant conceptualizes and verbalizes his experience. Informants give the researcher not answers to fixed predetermined questions, but the questions themselves. Informants help define what the researcher needs to learn in subsequent research. (Examples of research techniques with informants: unstructured and semi-structured interviews, diary studies, open card sorting, collaborative design exercises.)
  • Subject – Subjects are participants in social science research, upon whom hypotheses are tested. “Investigators are not primarily interested in discovering the cultural knowledge of the subjects; they seek to confirm or disconfirm a specific hypothesis by studying the subject’s responses. Work with subjects begins with preconceived ideas; work with informants begins with a naive ignorance. Subjects do not define what it is important for the investigator to find out; informants do.” (Examples of research techniques with subjects: usability testing, split testing, concept testing.)
  • Respondent – A respondent is any person who responds to a survey questionnaire or to queries presented by an investigator. “Survey research with respondents almost always employs the language of the social scientist. The questions arise out of the social scientist’s culture. Ethnographic research, on the other hand, depends more fully on the language of the informant. The questions arise out of the informant’s culture.” (Examples of research techniques with respondents: surveys, questionaires, structured interviews, closed card sorting.)
  • Actor – “An actor is someone who becomes the object of observation in a natural setting.” As with subjects and respondents, when participants are related to as actors, the terms of the description of the actor’s behaviors are those of the researcher, not of the participant. It should be noted, however, that in ethnographic research (and also in contextual inquiry, participants are interviewed as they are observed, which means the participant is still understood  primarily as an informant. The actor-informant teaches the researcher through showing and explaining in his own terms the significance of his actions, which allows the researcher to give (to use Clifford Geertz’s term) “thickness” to his descriptions of what he observes. (Examples of research techniques with actors: site analytics, business intelligence analysis, silent observation.)

Over the course of a research program, research participants may at various times be regarded as subjects, actors or respondents — but if the goal is to know what really motivates the participants, to understand how to engage them at an emotional level, and to cultivate an enduring relationship with them, it makes a lot of sense to begin by relating to research participants as informants, beginning with unstructured or semi-structured interviews.

By starting with an informant relationship with research participants researchers can develop a better idea of what matters to the participants, how they conceptualize and speak about these things, and most importantly how this motivates observable behavior. These insights (that is, findings that illuminate the inner life of participants) can focus subsequent research on the most relevant and impactful questions. It also improves the execution of the research by helping researchers use language that’s natural and understandable to participants, earning greater trust and cooperation, and minimizing misunderstandings. And in analysis researchers and planners will mine more valid insights from the data, since they understand the motives, thought process and language behind the responses and behaviors of the respondents, actors and subjects. And the insights will be accurate because they rely far more on fact than (often unconscious) assumptions.

The other types of research can then report in more quantifiable terms, using much larger samples, how many subjects or actors perform certain behaviors or how many respondents give one answer or another to certain questions on a survey or questionnaire — and these actions and responses will now carry much more meaning because now the researchers have subjective insights to complement the objective data.

Two more points worth making: 1) I haven’t mentioned segmentation in this article, but anywhere where I mention learning about research participants, I am talking about learning about segments of participants (defined by goals, needs, attitudes and behaviors), and understanding the similarities and differences among them. 2) Generally, it is in the role of informant that research participants provide findings that drive design and creative. Informants inspire empathy and creative approaches. Subjects, respondents and actors tend to yield information useful in making strategy decisions. Using the full range of qualitative and quantitative research methods together intelligently can enable strategists and designers to work together more effectively to harness the full power of experience design.

By understanding research better — recognizing the difference between research that produces subjective insights and research that produces objective data, by not mistaking them for rival methods for producing the same kinds of findings, and by understanding how they can be used together to gain a holistic picture of one’s customers that is far more than the sum of the facts — an organization becomes more capable of understanding its customers without sacrificing their individuality to empty statistics.

Precision inspiration

When people ask me what design research is, my favorite answer is “precision inspiration”.

I know this might seem slightly business romantic, but my meaning is exact, clear, concrete — even a bit technical.

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I’ll start by explaining what research is pragmatically, in terms of what it does. And because I’m a business guy, I’ll explain what it does in terms of its benefits. In other words, I’ll start with a sales pitch.

First, design research helps inform decisions. It helps teams identify opportunities for improvements. It helps us understand what should be improved, why that improvement will matter to people and how the improvement ought to be made so that the work has its intended effect. Design research helps organizations “design the right thing, and to design the thing right.” Research improves the product.

Second, design research also provides persuasive evidence that helps leaders align organizations around particular projects. If everyone in an organization is persuaded that a project is worthwhile, energy otherwise wasted arguing for following divergent paths — or even taking those paths and working at cross-purposes — is applied forcefully in a single direction. And morale-sapping doubts about the project can be quelled, so participants can invest real energy into the project, in the expectation that their efforts will produce a positive outcome. Design research done well is organizational alignment magic. Research improves the efficiency of production.

Design research also drastically improves team dynamics and helps them collaborate more effectively and enjoyably. By introducing the scientific method into design processes, it brings enlightenment values to the notoriously authoritarian milieu of the workplace. Instead of uninformed speculations and untested intuitions (the products of private imaginations, prejudices, preconceptions and biases) competing to prove that it possesses esoteric insights into the souls of The User or The Customer and therefore has the answer on what solution to build, everyone is free (or freer) to propose questions to ask and hypotheses to test with real people, in order to assess the degree of validity in everyones’ ideas and hunches. The stakes are lower and cheaper, so democratic participation is more affordable. And the output of the research typically partially validates multiple views in ways requiring new combinations. So ingenuity is contributed from more sources and woven together ingeniously by yet others, and ultimately the idea can only be said to originate in the entire team working together on a shared problem. Research improves the experience of production, which gets us closer to the climax of my pitch, the inspiration part.

The inspiration of design research comes from how it can helps us reconceive what we are doing, how we are doing it and why it matters. This is important, because our repertoire of conceptions enable and constrain what we think, believe, imagine, invent. They also shape our perceptions and help us ask clear questions. The limits of our conceptions are the limits of our minds, and our ability to take intelligent action. In the most productive research, new concepts are learned directly from participants in the research, in the process of understanding their worldviews. Yet more conceptions must be found/made (or “instaurated”) to make sense of the full range of concepts learned and link them to the conceptual tools of the various disciplines collaborating on a solution. This can rarely be done with the available stock of existing conceptions, so, in effect, teams are forced to create new conception systems — small, local philosophies tailored to a project — that makes problems intelligible and soluble.

This is an arduous, perplexing and anxious process. Not all people have the intellectual flexibility, faith and fortitude to do it. But when it is done successfully, new possibilities pop into existence, ex nihilo, that were literally inconceivable before. This sudden influx of possibilities and outpouring of novel ideas resulting from the acquisition of new concepts is in fact what inspiration is.

The novel ideas produced by research are far less obvious and far more relevant (because they were acquired through understanding users or customers) than ideas produced by industry conventional wisdom that, because it processes the same old facts the same old way, produces nothing but the same old same-old, safe, stale, predictable, undifferentiated ideas.

Deep, rigorous, courageous research is the most effective and reliable way to induce such precision inspiration.

 

Rapport is data

Sometimes, rapport is treated as a means to an end. We try to have relaxed, natural, flowing conversations because this encourages our participants to respond more candidly. We get richer, deeper, more extensive and honest data. All this is true.

But rapport gives us something else. It helps the researcher attune to the participant’s world, and understand what is being said in light of this attunement. The goal of deep rapport is not only better data but a better understanding of the significance of that data.