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Mental Models

Aligning design strategy with human behavior

Mental Models

Oxymoron: "Scientific Survey"

Lots of people want to have mental models tomorrow, without all the hard work that goes into collecting the data and massaging it until it takes shape. I hardly blame them. When someone asks me how this can be done, I encourage them to sketch a mental model together with their team, over the course of two hours. This model can be a representation of what they know now about peoples' behaviors and feelings and philosophies, written from the perspective of these people, with pronouns like "I" and "My." It's when someone says, "Can't I just send out a survey and collect the data?" that I start to shake.

Yes, I shake.

Surveys are a cop-out for this kind of work. Surveys don't let you have conversations. Surveys don't give participants the opportunity to tell you their perspective in their own words, in the order they think is important. Most of all, surveys don't let participants tell you things you wouldn't think to ask. All of these statements are patently true about surveys. (Tell your boss.)

Yet for some reason folks respect surveys and the data gathered thereby. Somehow, as a population, we believe that the more people we ask a question of, the more significant the result.

Image of a Microsoft Customer Service Quality survey

The Webster's definition of "survey" (the noun) is "a broad treatment of a subject" or "a poll." A Wordnik definition more specifically states "a gathering of a sample of data or opinions considered to be representative of a whole." Look at the words poll, opinions, and data. The last word is the one organizations tend to set more store by. It is a word that inspires confidence and reduces risk simply by sounding scientific. Yet, truly, most surveys you have encountered at your organization are about opinion. "How did you rate our service today?" Or, a more subtle example: "Which of the following brands of chocolate do you typically buy?" (What if the brand you just bought isn't listed? What if you don't buy chocolate? What if the majority of the population the organization supports doesn't buy chocolate, yet the organization get duped into thinking that 63% of people buy Ghirardelli?) The surveys about data have to do with, for example, assessing biodiversity on a particular island, not with people or what they are conjecturing. So, if surveys that we normally see have to do with opinion, preference, and conjecture, what is actually "scientific" about that? We know opinions and preferences change over time. They change based on how the question is asked. They change based on who is listening. We know that conjectures are just guesses about future reactions and behaviors. And surveys about past activities rely on imperfect or biased memories and recall. How can opinion and conjecture inspire the confidence we need for design?

There are other things we know about surveys. They can be written purposely or by accident to reach a certain conclusion. The result can be greatly influenced by whom you ask to participate. They can grow long and so tedious that participants start marking answers randomly. No matter how deeply we think when we write the answers to a particular survey question, it is still a bounded list. Participants have to match the answer they would have said out loud to one of the things we thought to write down as a selection--if anything is even close. Participants feel compelled to select an answer even if none of the possibilities is close.

If we peer at what we frequently use surveys for, if we really break it down to its root, it is to persuade or provide evidence to support a decision. Or its use is to get attention, as in the news media. These are valid uses of surveys; I am not judging, here. What I want to point out that what we do, "design," is not "persuade" or "decide" or "get attention." We are doing something that is different than marketing departments or executives seeking to change the perception of a product/service on the market. "Design" is closer to "invent," "devise," "formulate," "plan," "create," or "contrive." We cannot use surveys to support our design activity.

Comments

Hey Indi, thanks for the post. Unfortunately in this "give it to me now or sooner..." (dare I say... agile) culture we are often forced to work in, deriving the kind of value that can come from deep, thoughtful research work is becoming increasingly difficult to say the least.

While I definitely see your point I'm curious to know where (if anywhere) you see the value of surveys in the (user) research process, you briefly alluded to it but maybe you can expound on it more in a future post. In my own practice I tend use (not rely) on surveys mostly for triangulation purposes in the user profiling process to help identify goals, behavior & at times a users' context and have found success at least in that use (for verification). This being especially true when resources (read money) for deeper qualitative research is just not there, again curious to know your thoughts here.

Also I have to take a very slight issue with your last comment re: design. I agree in the literal sense design is closer to plan or formulate but it can definitely be more than that. In the broader sense especially when considering outcomes I think of design in a way that's more inline with Herbert Simon's definition of design as "...the transformation of existing conditions into preferred ones" which IMHO can include designing with the intention of persuading (advertising), increasing visibility (graphic design) or transformation of how an organization or system works (service design) etc.--basically the word has (at least) two meanings. I think you can possibly even say one can design a design if you get my meaning.

Anyway thoughts on where and how to use surveys and anything else would be appreciated. - Thanks again, Fritz


Hi Fritz! I agree, we live in a world where deep insights are wanted and needed, but there's usually no time to get them.

That said, I would not use surveys as a quick way to catch some insights--as the term "survey" is usually used (a multiple-choice type of form that a participant fills in one time and does not return to). If you do have time to go get in touch with the real people you support, but you don't have time for long conversations with them, have short conversations with them. The key is the conversation. Let participants tell you what's on their mind, rather than you dictating what their responses could be. Have these short conversations in person, on the phone, via IM, or via email. Just make sure they go back-and-forth between you and the participant several times, they are free-format, and they explore a couple of different things the participant brings up--to get to the root of the behavior. Surveys can't do this.

You can use the other definition of survey--the one where you assess and list and count things--for user research. Usually this kind of data gathering this takes the form of search terms, click paths, and other analytics you can gather, mostly from existing products and services you have out there. The data you gather doesn't have to be just from web sites--it can be gathered from customer call centers, field reps, etc. This data will give you an idea of behaviors which can be helpful.

As for the definition of design, I just grabbed that from Wordnik. Feel free to add the definition you pulled from Herbert Simon. Discussions over definitions are things I try to avoid. Sorry! ;)

A thought I had when reading your post, and something you touch on in your comment, is that there may be some semantic confusion here. Most surveys are exclusively multiple-choice and poorly written -- like your example "Which of the following brands of chocolate do you typically buy?" -- but those aren't defining characteristics of survey. A well-written survey that also leaves room for open-ended responses (and that has time scheduled for interpreting those responses) is a useful tool.

Creating surveys falls into the same trap that all creative tasks do: amateurs are unable to tell the difference between their work and that of an expert. Amateur survey creators are oblivious to their surveys' failures, but that isn't a weakness of surveys.

Dave, yes there is semantic confusion, and yes there is the problem with people using surveys as a "quick way to gather data," which means they are quickly created and quickly assessed. However, even a survey with room for open-ended responses is not a conversation. The participant interprets the question once, the researcher doesn't have a chance to re-ask the question with a different emphasis, and the researcher doesn't have a chance to ask for more detail about an answer. No matter how expert and well-written a survey is, it is simply not a conversation. I think it would be much faster and more valuable to have a set of conversations. Even without a lot of assessment, the researcher would have a lot of rich data in the back of her mind as she proceeds with design.

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