Subaru recently unveiled a new series of TV spots called "Dog Tested." The premise is this: dogs at the wheel of a Subaru Forester. The campaign follows two dogs on their driving adventures -- picking up a yippy pal at the airport, trying (and failing) to parallel park, losing a parking space to a cat in a sedan (you know how it is).
Depending on how you feel about dogs, you'll either find this campaign ridiculous or brilliant. I fall firmly in the Dog-Loving Camp, and I think it's brilliant -- but not just because I love dogs. This is not a stunt or a gimmick on Subaru's part. It's smart branding.
In looking at their market data, Subaru discovered that about 50% of their buyers are also pet owners. Last year, they ran a sales campaign that gave customers the option to donate $250 of their purchase to one of five charities. It turns out a large number of those donations went to the ASPCA (the American Society for the Prevention of Cruelty to Animals).
So, the lesson is this:
Get to know your audience.
We tend to make a lot assumptions about our audience without talking to them -- or better yet, listening to them. Our default setting is to think about our product, our organization, our selling points, instead of thinking about what makes an audience tick. Isn't is annoying when someone is "me, me, me" all the time? Yes, it is. The best brands know their audience well and let them guide the message.
Look for the audience insight.
Subaru looked beyond basic demographics to learn more about their audience. That's when they discovered a dog-loving crowd. Sometimes the insight will surprise you. Be open to what you'll discover about your audience, and don't overlook a surprising trend in your audience -- it could be the connection point you've been searching for.
Love what your audience loves.
Here's what the Subaru spots says to their target audience: "We know you. We get you. You love dogs. So do we." A brand is a relationship, and like any relationship, it's part emotion. So, maybe Subaru isn't touting the Forester's super-charged GPS system or roomy cargo space in these spots, but they are cultivating a connection with prospective buyers, and they're giving current owners one more reason to love their Subaru.
At the Funologists panel at SXSW , the speakers lightly touched on digital ethnography. One of the points they that came up was the "lying user" phenomenon. While they didn't go into it too far, it sparked an idea I've been meaning to write about.
One of the hardest parts about user research and analysis is controlling for lying users. It's not that users try to be deceitful. But there are many reasons why they may not be telling you the truth. Here are four:
Need to represent themselves.
Users may lie about choices they have made in the past because the truth reflects negatively on their self image. For example, a user may state they purchased an iPod because of it's ease-of-use, when the real reason was that they felt buying a SanDisk MP3 player would mark them as less hip.
For this phenomenon, a best practice is to probe further until you can get specific information about what influenced the decision.
Inability to forecast future actions.
People are notoriously bad predictors of how they will behave in the future. They expect their future behavior to be markedly different than what past behavior suggests. Similarly, their ability to recall previous actions degrades over time. For example, a user may say that they really want a customization feature. If you ask them to recall customizing a similar feature in the past 6 months, the answer is often very different. In both cases, the further you get away from the present, the rosier the glasses become.
A tip for handling this situation is to follow questions that speculate about behavior with "grounding" questions that ask them to recall behaving like this in the past.
Fear of insulting the moderator.
Simply to avoid being critical or confrontational, users will often not truly confess dissatisfaction with a product. Not wanting to hurt the feelings of the researcher is a common unspoken issue.
At the onset of research, the researcher should explicitly distance himself from the design, saying something like "Be candid. I'm not the designer, so nothing you can say will hurt my feelings."
Fear of looking uncreative.
This happens often in sessions where you simply ask the user to rattle off features they would like. Often, users base their responses on those they already know exist--rather than suggesting features that solve real problems they face. For example, you may hear "I'd like the page to be customizable like iGoogle" when they have no precedent of customizing pages.
For this situation, it's ok to solicit features but make this a low-priority research tactic. Instead, focus on the actual challenges they face, agnostic of a solution.
These are just four of the many reasons users lie to researchers. The message is this: when doing research, consider the answers they give but be cautious and critical. Don't take any self-reported information too seriously, since they are easily tainted. Where you expect there to be lying bias, probe for detail and past history to validate their responses.
How will they accomplish this?
This question starts to elicit the features and content that may be needed to support the user's responsibilities. Demonstrating this relationship is important since it helps ensure technology is driven by business need and not the other way around. It should also help ensure that features are justifiable and not simply faddish.
What can we offer?
This question is about trade-offs. For this task, the participants are given a personnel budget of $100,000. Using a divide-the-dollar approach, they apportion that sum among all of the job descriptions. The result is a rough indication of the order and degree of priority of the segments.
I've just hacked together this idea, so I'm hoping to hear your thoughts. Take this further? Abandon it immediately?