Do You Care About Plummeting Telephone Response Rates?

Anvil FallingNew data from the Pew Research Center indicate that telephone survey response rates are continuing their long downward trend.

In 1997 Pew’s research yielded average response rates of 36%. By 2006, that figure was down to 21%. In 2012 it is down to 9%.

The 2012 figure was brought lower in part by the introduction of cell phone numbers to Pew’s samples; cell phone owners responded at a lower rate than landline owners.

It’s no secret that telephone response rates have been on a steady decline, so the Pew figures are not a complete surprise (I must admit, though, that there’s something jarring about seeing the figure dip into single digits.).

The question is, should you care?

The short answer is, “yes.”

As a person who cares about data, you should be concerned about the public’s willingness to participate in research.  People over time are putting less trust in societal institutions, including the survey research profession as a whole.

In this study Pew used multiple means to assess whether their survey results were impacted by lowered response; the conclusion was no, with proper weighting. They did find that survey participants tend to be more civic-minded than non-responders.

Ultimately, there is a limit to how low survey response can go before the ability to gain accurate readings on social phenomena are limited.

The long answer is, “it depends.”

Certainly, this news is more grave for people doing research in the public arena than it is for people in commercial market research, where online research is much more commonplace.

If most of your work is done using online panels or other sample sources, declining telephone response rates do not have as direct an impact on you.

However, declining survey participation is a phenomenon that extends well beyond telephone surveys. This is a societal trend that affects all research in one way or another.

In the online sphere, it is increasingly common for researchers to create their own “feedback communities” rather than relying on sample from traditional online access panels. This trend will surely continue, along with any other means there are to keep respondents engaged.

More research is needed to assess response rates in the online context; modeling a study after the Pew telephone investigation would be a great start.

Moreover, there should be more research on how the ability to survey respondents on their mobile devices affects the level and quality of survey response.

What do you think? Do you care about plummeting telephone response rates? Why or why not? Please share your opinions in the comments section below.

Why Recall Must Die: Capturing the Point of Emotion

Emotions

Living in the Past

Market research relies heavily on human memory. Attempting to measure recall about what respondents thought or felt about a product or service is a standard approach for market researchers.

Surveys often consist of long lists of memory tests. So many surveys contain phrases like, “Thinking about the last time you used XXX”?  And of course, focus groups always rely on the subjective recall of emotional states.

The assumption underpinning the standard market research operating procedure of directed recall is that we can reach into our experiences and retrieve complex information.

But is that true? Can respondents accurately retrieve memories and emotional states in response to a survey questionnaire?

Most market researchers give little to no thought to their reliance on recall. They fail to challenge themselves to better understand respondents, and in so doing they fail their clients and themselves.

Market research lives in its respondents’ past. The problem is that the current market research modus operandi of asking respondents to recall memories and emotions may be faulty at its core.

Memory is increasingly being understood by academicians as fluid rather than a concrete object that can be picked up and read at will.

The dominant theory of memory for many years has been so-called “working memory”, with researchers such as Alan Baddeley, Graham Hitch and Nelson Cowan producing a robust literature. These researchers concentrated on the cognitive aspects of memory, acoustic and visual buffering systems, episodic memory formation processes, and, finally, longer term memory processes.

In parallel, neuropsychologists and neurophysiologists searched for the “holy grail” of memory research, identifying what was known as the engram – the physical imprint that a memory must somehow make on the brain. More recent work seems to be getting researchers closer to understanding the physiological nature of memory.

Almost all of this is resolutely ignored by market researchers.

Researchers tend to see memory as a concrete object, something that can be brought back and returned to memory. It can be lost like an object too. When we simply can’t recall things, we say we have lost the memory, as if we possessed a thing such as a key.

In Wired Magazine’s March 2012 issue, Jonah Lehrer provides an interesting summary of recent research on memory, focusing on the work of Karim Nader at McGill University in Canada.

Research on alleviating the terrible symptoms of Post Traumatic Stress Disorder (PTSD) has begun to challenge the idea that memory is like a set of photographs we can access, look at, and put away again in the same condition.

PTSD can be regarded as a super-strong memory. A memory has been imprinted so powerfully that it cannot seem to fade away, as many memories do over time. PTSD is a breakdown in forgetting.

Nader’s research overturns the idea that memory is static, that it is a concrete object that can be read repeatedly in the same way. He found that the process of recall can cause the memory to be rewritten, so that we constantly modify memories as we recall them. Hence there is hope for victims of PTSD.

There is no engram.

Memory is not static; it can be amended by the conditions under which we recall it. Recall is rewriting memory.

The ability for us to forget is vital for us to function in our lives. As the famous Russian psychologist Alexander Luria documented in his book “The Mind of a Mnemonist,” remembering everything can be crippling for someone. The man in Luria’s book, called “S”, was not able to forget. He lived a confusing, cluttered life.  Everything he did or heard brought back a flood of memories and feelings from the past.

Without forgetting we can’t have new experiences. We have to forget: we have to forget childhood, we have to forget most of what we do to remain able to function in the future.

The necessity of forgetting is itself forgotten by market research. There is a pervasive idea that respondents actually can remember all these subtle impressions and emotions and then record them on a 11 point scale days or weeks after an event.

The truth is, mostly, they can’t. We have to forget most of what we experience. Trips to the mall or the supermarket are low on the list of things we have to remember because, mostly, they don’t matter. What grades your child got last week are a much higher priority.

The obvious problem is that market research needs those impressions that are forgotten. While we may not be able articulate with any accuracy what we have felt, the emotional residue will influence behavior in the future.

The core dogma of recall has to be rejected.  The problem becomes: what will replace it ?

We can’t have interviewers follow all of our panelists or respondents around and constantly monitor what they do in the hope of catching those fleeting moments of emotion about products or services that they experience. Those memories of emotions are soon lost, washed away in the stream of consciousness that allows us to function from day to day.

The Point of Emotion

It’s not often that new technology is really a revolution. Too often, vendors hype technology way beyond its boundaries.

However, smartphones just may deserve the hype. The smartphones that 65% of the US population now carry around with them have astounding processing power and connectivity. This power is being harnessed to give us a view of the consumer which is radically different from anything we have seen before.

Consumers are also using smartphones in various settings that were heretofore unheard of: on the toilet, while waiting in line for coffee, in transit, and just about anywhere there is idle time for the consumer. Smartphones and their addictive connectivity have users carrying these devices every waking moment in their lives.

Our need to be connected drives this smartphone ubiquity. This also presents an opportunity for research and feedback to live “in the moment” – in real time, not in recall time.

We call this the Point of Emotion (POE).

The Point of Emotion is the point in time when a consumer is using a product – drinking coffee, using toothpaste to brush their teeth. Technology allows us to capture emotions as they happen.

There will be many technologies that will allow us to leverage the Point of Emotion, the current technology we see as the most significant is QR codes.

Smartphones with QR code embedded feedback systems allow us to capture four critical pieces of paradata:

  • Timestamp – When the emotion was experienced.
  • Location – Almost all smartphones have GPS or wifi-enabled location triangulation.
  • Context – Embedded QR codes give granular context about products.
  • Unique Device ID – Unique identifers enable linking of data from different temporal phases.

Researchers, rejoice! We no longer have to rely on recall to capture the customer’s viewpoint.

The Point of Emotion is closer than ever. It’s for this reason that mobile technology is truly a revolutionary force in market research. There are millions of people carrying around technology that gives us a window into their lives. All we have to do is shed our own biases and make of use of what’s right in front of our eyes.

When Should Data Be Made Public?

Digital BooksWhen should data from research be made publicly accessible?

As our very name implies, we at Research Access are supporters of the principle of open data access.  But what are the limits?

Certainly it is reasonable to expect that publicly funded research be put online for easy access.  However, it may be surprising to some that we are not all the way there yet.  The World Bank has taken a significant step by announcing just such an initiative, affirming that all its data and publications are to be licensed under Creative Commons and made available online.

What about privately-funded research? If that research is made possible by a private foundation in support of the public interest, you can expect increasingly that, with good reason, foundations will expect data to be made public.  The New York Times reported last week that “the Wellcome Trust, the second-largest non-governmental funder of scientific research in the world, said it was considering sanctions against scientists who do not make the results of their research freely available to the public.”

“Sanction” is a big, fat, hairy, scary word. As in much of life, money will rule; when funders want data to be public, it will be public; when they want it to remain private, it will remain private.

However, it’s worth considering the researcher’s ethical responsibility when data are slated to become public. Some of us could be in a position of being pressured to release respondent-level data containing personally identifiable information. We must balance our responsibility to research funders and the public interest with our responsibility to respondents.

Each of us as researchers should have a natural desire to share our results to help educate the world, but we cannot ignore our responsibilities to both the funders of our research and the respondents we have agreed to protect.

Foursquare: The Rock Stars of Location

Foursquare LogoAt a conference about the technology of location in the most tech-savvy city in the world, there is really one company that’s “where it’s at.”

It’s not Facebook or Google.  It’s Foursquare.

Don’t get me wrong.  Facebook and Google have a really impressive presence here at the Where Conference.  They’re doing incredible things in location.

Google's Booth at the Where Conference

Google's Booth at the Where Conference

And might I add, parenthetically, that Google has a really awesome booth – the letters in the word Google light up!

But the thing is, location is just one part of what Google and Facebook do.  A very  important thing, but one thing nonetheless.

Foursquare has location in its DNA – it was founded on geolocational “check-ins” – and everything else it has done and has become is built on that foundation.

I was very interested to attend Foursquare’s presentation yesterday, “The Power of Place.”  As an active Foursquare user, I was curious to look under the hood.

I wasn’t alone.  There has been a lot of attention on Foursquare here, and the room was full.

Part of what’s interesting to me about Foursquare is also a bit aggravating.  They are the leader in one of the most important technology arenas, yet they seem very much like a start-up.  They are young.  They have titles like Platform Evangelist.  And somewhat annoyingly and ironically, they seem not to realize anything exists outside New York or San Francisco (how about some examples other than Soho and Central Park, guys?).

Their presentation was informative; it focused in large part on the challenges around search. Essentially they have scads of check-in data, and they are working hard to make that data useful in a meaningful way.

And by meaningful, I mean made meaningful by social proof.  When you search, you learn where your friends have been and what they have to say about places; if you are in a place where your friends haven’t checked in, you are presented with locations that are “popular on Foursquare.”

What was really impressive was the check-in data they shared.  They showed the distribution and density of check-ins at popular locations such as the Golden Gate Bridge and JFK Airport where you could actually see the characteristic physical outline of the locale in the data rendering.  They also had an animation of check-in patterns throughout a typical day in Manhattan, where you could clearly see the swarm into the city in the morning, the lunch rush to restaurants, and the nightclubs and bars hopping at night. Cool stuff!

There’s no doubt about it; Foursquare has a gargantuan treasure-trove of data. Now they are rightly focused on using the data to improve the usefulness of their service.

But I can’t help but dream of other uses for that data.  What could academics tease out?  A whole lot, I’ll bet.

And, of course, there is a vast potential use of Foursquare’s data for market research.  I asked Foursquare’s Platform Evangelist, Akshay Patil, after the presentation whether they’ve considered the potential use of their data for market research purposes.  He told me they realize that potential but that their primary focus is on respecting the privacy of their users.

That’s the right answer, of course.  But I’m hoping they get creative and find a way to serve not only their users but also businesses who would pay top dollar for the insights Foursquare data could yield.

A company, like a person, can typically only be a rock star for so long until they move to the next phase.  I’m looking forward to seeing what the future brings for Foursquare.

 

Gross National Happiness?

Smiley FaceCan – and should – governments collect statistics on citizens’ happiness?

Today’s Washington Post has a fascinating article on efforts in the United States to construct and start tracking just such a set of statistics:  “If You’re Happy and You Know It, Tell the Government,” by Peter Whoriskey.

President Obama’s top economic advisor Alan Krueger is “one of the leading researchers in the field” of happiness research and is part of a research team exploring the possibility of creating a happiness index in the United States.  Apparently the UK already asks these types of questions of its citizens, and France is looking into it.

Here’s how the Post article summarizes the issues around this effort: “As the United States ventures into the squishy realm of feelings, statisticians will first have to define happiness and then how to measure it. Neither is a trivial matter. There is even some doubt whether people, when polled, can accurately say whether they are happy.”

Nobel Laureate Daniel Kahneman is quoted in the article as expressing some concern.  “I’m worried about the word ‘happiness’,” he said.  Kahneman makes a distinction between ongoing “experiential well-being” and more general “life satisfaction.”

To me, there are two questions that need to be answered:  can happiness be measured, and should it be measured?

Happiness is such a broad concept that it must be defined precisely before it is measured properly. There is a definitional issue, and there is a measurement issue.  Both of these can be manipulated, and not always for the right reasons.

More fundamentally, happiness should only be measured if it will affect government policy in concrete ways.  Information which is nice to know but not actionable is better left to the realm of academia.

Book Review: Digesting the Information Diet

Editor’s Note:  Today’s post is a book review by Romi Mahajan.  The subject of the review is The Information Diet by Clay Johnson.  Also check out the upcoming episode of RomiCast with Romi Mahajan, in which Romi will discuss The Information Diet.  The RomiCast series is brought to you by Research Access and Metavana.

For reasons soon to be obvious, this piece will be brief.

I know just enough of Philosophy to remember Hegel’s (or was it Kant’s) view that the thesis and antithesis together make the synthesis.  And given that the progress of thought happens via the construction of increasingly complex and thoughtful syntheses, I want to offer congratulations to Clay Johnson for his book The Information Diet and to his publisher for creating ever-more surface area for attack.  The irony of a book admonishing us to consume information carefully is not lost on any of us.  Nevertheless, The Information Diet is worth reading and even re-reading.  Indeed, it takes us to a new and higher perch from which we can clearly see just what harms are being done to us by the tsunami of Disney-fied, Fast-Faddish information.  We reach a more refined synthesis.

Clay Johnson

Clay Johnson, Author, The Information Diet

To make a clear point about the need for sensible information consumption, Johnson creates an interesting construct- that we ought to think about information consumption just as we think about food consumption.  There are bad calories and good calories, foods with terrible somatic affects and others that nourish us and make us healthy.  Just as the West (and the newly “rich” developing countries) are suffering from an epidemic of bodily obesity, so too has the Information Age ushered in new disease-information obesity- with all the attendant bodily and mental effects.

While he doesn’t use these precise words, Johnson’s analysis goes beyond the individual body to talk about a diseased body-politic.  Our collective body, the very structure that keeps our sociality animated, healthy, and productive, is being Twinkied and Ding-Donged in the very same way as each of our own bodies.  Johnson points out the symptoms of this disease- “Confident Ignorance,” Agnotology,” “Epistemic Closure,” and “Filter Failure.”  As he describes these symptoms, one recognizes the disease instantaneously.

The thesis of Johnson’s work is quite clear- and it is powerful.

The Information Diet

So where’s the tension, the dialectic discomfort that required an invocation of Hegel at the opening?

I believe Johnson missed the chance to write a mordant piece of social, political, and economic criticism.   While, in a conscious act of puncturing my own filter bubble, I encourage people to read this book (buy it, borrow it, steal it, but don’t just read the back cover) I believe Johnson missed the bigger story.

Which is to say that the book does not encourage us to break out of what I call the Echo-Chamber of Web Neo-Positivism (undoubtedly a lot of saturated fat in that phrase!)  Because Information overload is not a new phenomenon nor are its ills only recently understood; instead, the creators of digital information factories have completely dominated agenda-setting in the last two decades and as such have been purveying the falsehood that information, Web 2.0 technologies, and social networks are tools of liberation.  Against this backdrop of inscrutability, of unstinted devotion to the Church of the Internet, any attempt to admonish us into breaking out of the Echo Chamber is good but most attempts are simply insufficient.  If, as they would have us believe, the rise of people in the Arab worlds was a “Twitter Revolution” then I’ll submit that in the Echo Chamber, even “friends” offer us Big Macs and call them Organic and belly-busting.  (That food and food prices drove much of the anger that led to these revolutions provides an interesting kernel that Johnson could have popped, buttered, and delivered with ease.)

So the real synthesis will come when people use the tools of so-called liberation and point the turret (as has Siva Vaidyanathan in his book, The Googlization of Everything (and Why We Should Worry)) at the new information oligarchy.  You all know who they are.

Which brings me to three final criticisms of Johnson’s important work.  First, he blithely exonerates large companies.  The emphasis on the culpability of the consumer is unfortunate; this is the slippery slope that company executives love.  This exoneration reminds me of the age-old (and thinly veiled class-bating) debates over whether Fast Food joints should be at fault for the death-creating food they purvey or whether “those people” who eat there should be held responsible for their own actions.

Second, in what appears to be an attempt to be publishable, Johnson is a bit too “fair and balanced.”  Yes, I said that.  As an example, on page 140 Johnson asks us to “take our country back, not from the right or the left, but from the crazy partisanship on both sides.”  This “all –isms are equal” view is just a weak brew of relativism and has no place in a book that is all about taking positions.  When Johnson continues and asks us to give the country “to the stewards that have made the country so great, the pragmatists- the ones who want to create a more perfect union,” I’m forced to wonder whether his own Filter Bubble has kept him away from the requisite reading of American history that concedes some elements of greatness but asks “at what cost in lives and liberty here and abroad?”

Finally, while the information-food analogy is interesting, Johnson at places loses the power of his argument by force-fitting us into the construct on which the book is premised.

Criticism is, however, easy.  It’s as easy as being in the Echo Chamber.  So please do read this book and extract from it important lessons and even some great techniques to avoid the disease.

Finally, if you are anything like me, the book reminded you of one of the greatest Rock songs of all time- Simon and Garfunkel’s “A Simple Desultory Philippic (Or How I was Robert McNamara’d Into Submission.)”   To me, it is the best Information Overload song of all time:

I been Norman Mailered, Maxwell Taylored.
I been John O’Hara’d, McNamara’d.
I been Rolling Stoned and Beatled till I’m blind.
I been Ayn Randed, nearly branded
Communist, ’cause I’m left-handed.
That’s the hand I use, well, never mind!

I been Phil Spectored, resurrected.
I been Lou Adlered, Barry Sadlered.
Well, I paid all the dues I want to pay.
And I learned the truth from Lenny Bruce,
And all my wealth won’t buy me health,
So I smoke a pint of tea a day.

I knew a man, his brain was so small,
He couldn’t think of nothing at all.
He’s not the same as you and me.
He doesn’t dig poetry. He’s so unhip that
When you say Dylan, he thinks you’re talking about Dylan Thomas,
Whoever he was.
The man ain’t got no culture,
But it’s alright, ma,
Everybody must get stoned.

I been Mick Jaggered, silver daggered.
Andy Warhol, won’t you please come home?
I been mothered, fathered, aunt and uncled,
Been Roy Haleed and Art Garfunkeled.
I just discovered somebody’s tapped my phone.

I lost my harmonica, Albert.

Buzzword Alert: What the Heck is SoLoMo?

SoLoMoThere’s a new buzzword blazing into town, and it seems to be causing some divisive feelings.  The term is “SoLoMo,” which is a combination of the words “social,” “local” and “mobile.”

SoLoMo represents a concept which is a tidal wave in our evolving society:  the convergence of social, local and mobile technology.  Our lives are changing dramatically as technology becomes more mobile, empowers deeper social connections and becomes localized.

In the most recent episode of the Research Life Podcast, “Market Research Buzzwords and the Hype Curve,” Affinnova’s Jeffrey Henning gave a good example of SoLoMo: he recently had an unplanned meeting with a friend in an airport enabled by social connections on his mobile phone.

Of course, as society goes, so goes market research (well, eventually).  We are seeing dramatic examples of technology enabling things heretofore impossible with a combination of mobile technology, geolocation and social media.

For example, technologies such as SurveySwipe and MicroPanel make it possible for panelists to receive a survey notification on their smartphone when they are close to a particular location such as a retail establishment.

SoLoMo represents an important concept, but as buzzwords go it’s definitely getting under some people’s skin.

Anthony Ha crystallized the anti-SoLoMo point of view in a great TechCrunch post on Saturday, “You Say ‘SoLoMo,’ I Say ‘I Hate My Life.’”

I happen to like buzzwords, but I get why this particular one is bugging people.  It’s cutesy, and it simplifies a complex issue with an oddly capitalized rhyme.  And people like to go against trends because it makes them feel smart.

Furthermore, SoLoMo sticks in your mind, just like an annoying 80’s song.  Remember Everybody Have Fun Tonight by Wang Chung?  I thought so.

One of the things I like about SoLoMo is that it’s a superbuzzword, because it’s a combination of three other words which themselves are buzzwords.

Kevin Courtney makes a good point about SoLoMo and buzzwords generally in the Irish Times:  “Good mantras often come in three words that lend themselves to easy repetition; like Reduce, Reuse, Recycle, or Location, Location, Location. When you want to remind yourself of what’s important, or stay focused on your core goals, a good mantra is like a compass that keeps you on the right path.”

At the risk of offending any buzzword sensitivities, let me tell you that Research Access and Greenbook have partnered to bring you a webinar on the topic of, you guessed it, SoLoMo in market research.

“SoLoMo: How Social Media, Localization & Mobile are Redefining Marketing Insights,” will be a panel discussion on Thursday, March 29th at 1pm Eastern / 10am Pacific.  The panel includes Charlie Rader, Digital Insights Tools Leader, Procter & Gamble and Steve Rappaport, ARF Knowledge Solutions Director and Author, Listen First! The session will be moderated by Lenny Murphy, Editor of the GreenBook Blog.

I hope to see you then!

Click this link to register for the webinar.

What Would the News Be Without Surveys?

NewspaperWhat would happen if you took all the survey results out of your local newspaper?  How much news would be left?

As a researcher, I like to think that I take notice when news outlets use survey results as part of their reporting.

The news is, of course, chock full of survey results on a daily basis, including everything from political, government and business survey results to fun polls about cultural phenomena.

Why do news outlets use survey results so much in their reporting?  I think there are a number of reasons:

  • Survey results can lend a sense of authority and certainty to news articles.
  • Interview subjects often cite survey results to make a point, particularly when they are advocating a point of view.
  • Readers like survey results because they are (usually) interesting and easily digestible.
  • It is easier to write about survey results than issues about which there is no concrete or objective data.

I decided to take a look at the Sunday edition my local newspaper, the Portland Press Herald in Portland, Maine, and count the number of survey references.  I looked at the issue from Sunday, March 25th.

Here are the five survey references I found.  Frankly, I think this is fewer than normal even though the Press Herald is a small newspaper.  I’ll be interested to see how next Sunday compares.

Front Section

  • “But the manufacturing sector has been shedding jobs in Maine for decades, shrinking by 28,000 employees between 2000 and 2010, according to the Maine Department of Labor.”  From “Assessing Energy Costs’ Effect on the Economy,” by Tux Turkel.
  • “Ultimately, as many as 600 people may have been sickened by the outbreak, since the U.S. Centers for Disease Control and Prevention estimates that only one in 30 cases in a salmonella outbreak are reported.”  From “Here’s What We Know – and What We’ll Never Know,” by Leslie Bridgers.

Sports Section

  • Coach of the Year:  Norm Gagne, Scarborough.  From “Boys’ Hockey All-Star, Western Maine Class A”

Local Section

Comics

  • “Leader McConnell, 31% of your fellow Republicans believe that the President is a Muslim.”  From Doonesbury, Garry Trudeau.

Take a crack at this same exercise your local newspaper (or your favorite news website), and let me know how many survey citations or references you find.

 

Personal Analytics: Cool or Creepy?

Personal AnalysisIn this Sunday’s Boston Globe I read an interesting piece called “Stephen Wolfram’s Personal Analytics.”

You may know Wolfram as the creator of “computational knowledge engine” Wolfram Alpha,  He is also the creator of Mathematica software and the author of  A New Kind of Science.

The Globe piece takes a look at a recent Wolfram blog post, in which he analyzes a vast trove of information about his personal behavior which he has been collecting since 1989.

Wolfram provides an interesting analysis of the patterns of his life, including things like the number and distribution of emails and phone calls.  He also scanned 230,000 pages of paper notes, and provides analysis of things such as the frequency of the mention of specific years (1900-present) in his writings.

Why conduct this sort of analysis? Wolfram believes there is a future in it. “There is so much that can be done. Some of it will focus on large-scale trends, some of it on identifying specific events or anomalies, and some of it on extracting ‘stories’ from personal data.”

I’m of two minds about Wolphram’s foray into personal analysis.

The data analyst in me finds this cool and exciting.  There is certainly much that can be done with this sort of analysis, particularly by researcher studying sociological patterns of work as well as future biographers trying to make sense of vast troves of data about their subjects.

The regular person in me finds it creepy to be able to look at such personal information with such clarity.  Personal information is in many cases intimate and private.  Not everyone will want their personal behavior patterns published on a blog or in a newspaper.

So let’s proceed with exploring useful ways to use personal analytics, but as in any case where privacy is concern, let’s go forward judiciously and with sensitivity.

What do you think – is personal analytics cool or creepy (or both)?  Share your opinion in the comments section below.

Leverage the Intelligence of Networks

Network IntelligenceNormally when I think about market research, I think about insights generated by individuals or teams working together within an organization or in collaboration across several organizations working in partnership.

However, there is a newer concept of knowledge which has begun to change my thinking.  That concept is called Network Intelligence (NI).

The basic idea of NI is that individuals contribute not just their own knowledge, but also the knowledge of their social network; further, this knowledge can be leveraged across organizational boundaries.

The idea of Network Intelligence, which has come to prominence as technology has made it easier for individuals to share ideas with their global networks, poses a challenge to the traditional conceptualization of insight generation and analysis as proprietary and tightly-controlled.

I’ve begun thinking more and more about how NI can be applied in many different market research scenarios.  There is a white paper which has helped  me with that thought process: “Network Intelligence: The Source of True Innovation,” from the good folks at IdeaScale.  I strongly encourage you to check it out.

Network Intelligence: The Source of True Innovation

Click this link to check out the white paper.

What do you think about the idea of Network Intelligence in market research? What are some ways it might be applied? Please share your thoughts in the comments section below.