Care what I do, not what I say.
Okay, sometimes what I say.
Social media has blown up the idea of “brand conversations” or, in a more general sense, naturalistic observation of people talking about practically anything you can conceive– which can reveal generative insights about more ideal experiences for individuals and niche communities.
For example, in passing, I can’t think how many times I’ve seen wistful musings about features people wish their iPhones had. Here’s one for the annals. (Maybe Apple was listening?)

In that spirit, I stumbled across an insightful post on The Art of Conversation raising two key issues about the “credibility” and value of qualitative research that seem worth mentioning in the current digitally-dominated climate:
1. Should we all be incorporating more ethnographic methods, getting out there and listening to what real people really say (without their realizing we are listening in)? If we did this, though, how long would it take before we learned anything about [a brand]?
2. Are only naturally occurring conversations ‘real conversations’? Can an ‘artificially created’ conversation (i.e. all focus groups and interviews) not contain real conversational elements and therefore valuable insights?
Point being that “natural conversations” are something to strive for in research, but effort, cost, and sheer feasibility can make these difficult to achieve.
The article suggests that there’s fuzziness around what even constitutes an ethnographic enquiry, but that qualitative methodologies are “a bit of a trend at the moment. More and more researchers are (apparently) offering clients consumer diaries, mobile phone texting of encounters with brands, on-street/in situ conversations, etc.”
“Managed online communities” for these purposes seem to encounter the oxymoronic trouble of needing to be both authentic and, well– managed. Focus groups, in essence, migrated to the online realm still retain the problems inherent in offline focus groups. The data they produce isn’t quantifiable. In many cases, it’s not representative or projectable either. (But that’s not to say it doesn’t have unique value to produce generative insights, such as next generation iPhone features, which more quantitative methods tend not to elicit.)
Especially in the arena of online communities, there’s an enlarging area of opportunity to “quantify” qualitative research via interactive user feedback, and to authenticate the conditions under which the research is conducted. As a company, we try to simulate or actually utilize and observe real environments to create the most natural “experimental” conditions possible. We’re hoping to see technology step in to facilitate these more unbiased qualitative approaches in big ways.
In studies that involve user-generated submissions, the content of the submissions themselves can serve as a valuable piece of the puzzle, and suggest generative themes that can be drawn out with creative, analytical thinking.
We have a feeling that factors which help to reveal more genuine insights are strong visual elements (images and video submitted by interactors), which can suggest themes (and sometimes serve in place of words), mobile and location-aware technologies, “real-timeness,” personal narratives and social interactivity, and novel, more research-friendly platforms for communication which combine these elements.
(We’re working on some internal initiatives ourselves–for now, check out our Pink Cocktail project, currently in progress, to see how we’re mixing individual attitudinal survey data with behavioral web data– it’s a first for us.)
Header image courtesy of afiler’s flickr, (cc) some rights reserved.
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