Do Ice Cubicles Freeze Innovation?

IKEA meets Office CubeThe fastest way to freeze innovation is to stick your employees in an ice cube tray.  “Clean, very white, and efficient” rarely describe the creative workspace.

In “A Capitalist’s Dilemma, Whoever Wins this Tuesday,” Clayton M. Christensen describes three types of innovations: Empowering, Sustaining and Efficiency.  Christensen argues that the US has under-invested in Empowering innovation that “transform complicated and costly products available to a few into simpler, cheaper products available to the many.”  I argue that large-scale irony happens when the workforce building Empowering innovation shows up to an office built for Efficiency.

“How do you like your new space?”

The truth is that I like the aesthetics of my new workspace, pictured above.  I live in a contemporary house, and I enjoy modernist design.  But I don’t think it’s the right design Al Gore's Officefor a team tasked with Empowering innovation. By comparison, take a look at this photo of Al Gore’s office space.  Countless stacks of research piled across a broad workspace. A triptych of flat-panel monitors serve a smorgasbord of information to the former Vice President.  We don’t need to know exactly what he’s staring at.  This is the portrait of an Information Artist delivering  Empowering innovation on a global scale.

In contrast, take a look at this photo of a garment factory in the 1970s.  Workers are organized for efficiency and provided just enough space for the tools of their trade and for temporary storage of the end product.1970s Textile Factory  And this is the industrial workspace we expect to see when Efficient innovation is the primary driver.  Assuming that this factory was operated in accordance with the fair labor laws of the time, there is nothing wrong with this use of space. We can assume that workers and management were in agreement about the purpose of the space.  This was a playground for Efficient innovation.  You can almost imagine the man standing at center with a clipboard and stopwatch, trying to figure out how to best organize workers, space, equipment and time to maximize production.

So what’s the problem with my clean, very white, efficient cube pictured above?

The issue is that the space is clean, very white, and efficient.  It was designed to support a factory of Information Workers.  One argument for the new design was that it increases collaboration.  The cube walls are only half-height.  Look at the picture of the textile factory again.  While there is no physical barrier to collaboration, we don’t see any hobnobbing either.  And why should we?  The purpose of the space is to get the craft done efficiently.  I haven’t seen any new collaboration since occupying my cube.  In fact, voices have dropped to a whisper.Holliston Mills Art Studio

But the real problem with my clean, very white, efficient cube is that my team does not identify with the Information Workforce.  We are creative professionals, Information Artists who prefer massive amounts of data served raw, messy and spilling across the monitors and tables.

A workspace needs to support more than the number of workers.  A workspace is an asset shared by management and staff towards a common innovative purpose.

Yard Sale Segmentation

Toy Getting Kicked Out of the PenAfter vomiting the last room of neglected toys, shrunken clothing, and low-mileage tricycles across my front yard, I inhaled a sip of coffee while a stocky plumber hopped out of his truck and walked purposefully towards my suburban sprawl.

“You have any guns, knives, bows, arrows or other firearms?”

I glanced at the Red Flyer scooter parked next to a bin of baby clothing, and then down towards a massive collection of kindergarten puzzles my neighbor was trying to unload.

“Um.  No.”

John turned out to be an alright guy.  He told stories about riding his motorcycle down our street before it was developed in the ’80s.  He wandered from table to table chatting with my neighbors, wishing us all the best of luck, and quietly organizing our junk into neat little piles.  I don’t remember if he purchased anything, but he had a good time heckling a few local yard sale regulars.

Ten minutes before the sale began, a suburban mom pulled up in a minivan and identified the best quality items with surgical precision.  She didn’t try to haggle, and presumably she already knew that we had priced the larger items to move.  She politely asked if I could help her load up her van, paid the tab from a fresh fold of $20 bills, and walked over to another table.

An older fellow edged his crumbling Buick into the curb, and took his time leaving the driver seat.  He shuffled along the road, Parkinson’s weighting down every step like a sack of sand.  Bill, the name stitched in cursive on his mechanic’s jacket, spoke with softened commands.  “I’ll take that…you want $10?  How about $5?”  He purchased a few items I was happy to discount, asked me to place them on hold, and drove away.  He came back a few hours later in a shiny new pickup, made a few more purchases at discount, and adamantly refused my help loading up the truck.

A mother expecting her second child arrived with husband and kid #1 in tow.  She talked with my wife while purchasing clothing for the baby and a toy kitchen with tea set for the soon-to-be big sister.  The husband was in a good mood, and he rifled through a box of classic video-games while the little girl hung on his leg.

Various older women sifted through our boxes of used books longer than most.  One took a stack from the free pile to share with her charity.  We accumulated a small library over the years, with sufficient quantity and quality to interest almost anyone looking for a good read.  Our visitors lingered over the titles, talking about the authors, asking my wife for her opinions, and sharing recommendations of their own.  I think we only sold one book for a dollar to a woman who actually smelled the pages while her husband pretended not to be bored.

By the numbers, the suburban mom who arrived early spent the most money in the least amount of time.  The older fellow who liked to haggle came in second.  Yard sale professionals…or what I would call Loyal Customers in the online space.

All of our neighbors had a rich assortment of merchandise.  And since we live next to each other, from the customer’s perspective the assortment seemed especially deep.  However my yard had the largest selection of books (and video games).  Visitors spent time rummaging from box to box, talking about books, organizing the stacks, and occasionally taking one out for a closer look.  While we didn’t sell many books, these Visitors (or their spouses) purchased more on average.  In the online space we would call them Highly Engaged based on their browse behavior.

At the end of the day we made a few hundred dollars.  About half of our sales came from a few Loyal Yard Sale Customers.  The rest trickled in from Browsers; grandparents, expectant mothers, and charitable buyers looking to support a church or preschool in need.

At its worst, Personalization quantifies a cardboard cutout of your customer and leaves you throwing beanbag offers at its head.  In any mass commerce, on your lawn or on the Web, fertilize your assortment with explorable content and document how customers self-organize into segments.  You will quickly learn when it makes sense to hurl that horseshoe of an offer, run back to the house for some new junk, or simply sit back and enjoy the small community growing in your yard.

Zombie Analytics: Data Hungry vs. Data Driven

The Walking Dead Want HorseAll is well…in the beginning.  Your leadership team attended schools like MIT and Wharton.  The latest issue of the McKinsey Quarterly lies dog-eared and defeated on the coffee table.  During the interview, you were in awe of a quantitative religion and by-the-numbers decision process.

And then it happens…

You realize that most meetings are requests for data…and more data.  Email scrape your nerves, hinting that horrible things may happen if data isn’t available by Friday.  Your mind-blowing A/B Testing plan is greeted with vacant stares and growls for more measurement of the status quo…Testing is too risky right now…maybe later when Sales improve.

Zombie Analytics feed an insatiable hunger for data.

The Zombie Apocalypse spreads quickly in corporate environments, driving waves of shock and terror into the few analysts that manage to survive.  Here are a few tips inspired by the The Walking Dead to avoid becoming a cranial cookie for your co-workers:

Ditch the Horse and Hide in a Tank

Ride into your next meeting carrying a thick, juicy report with every conceivable metric.  Once the smell of fresh data triggers the Zombie reflex, run to a secure location where you can plan your next move.  Note that this strategy will help you live another day, but will do nothing to cure the Zombie Apocalypse ravaging your office.

Sacrifice Your Sidekick

Blame your consultants.  Curse at the data.  Basically give the Zombies someone else to chew on while you run for safety.  You might live another day, but you just fed your strongest allies to a mindless eating machine.  And that will raise a few eyebrows among your remaining friends after you catch your breath.

Shoot ’em in the Head

Don’t bother aiming for a rancid arm or leg.  The fastest way to put down a Zombie is right between the eyes with a “double-tap” decapitation just to be safe.  “Here’s your Page Views report…you want fries with that?”  This strategy might get you out of a tight spot, and nothing feels better than offing the undead, but you will get exhausted or run out of bullets at some point.  And there never seems to be a shortage of Zombies…

Find a Cure

Lock yourself in your secret, high-tech lab (good follow-up to “Ditch the Horse and Hide in a Tank” from above).  Setup your defenses (read: Out of Office Assistant) and focus on saving humankind.  Using your analytical blood and scientific skill, find a cure.  Run a high volume of tests and iterate on promising therapies.  It only takes a small dose to start reversing the Zombie plague.  Encouraging signs include:

  1. Creative Review meetings that end half-way with an executive saying “shouldn’t we just test that?”
  2. Demands for a holdout population on any major redesign decision
  3. Clamoring to quantify the financial value analytics brings to the organization

The only real cure for The Zombie Apocalypse is a steady dose of quantifiable results that build faith in the analytical process.  One shot never does it.  Reversing the plague takes time and persistence.  Never forget that the staggering hoard of undead outside your cube are brilliant people trying to find meaning in data.

Now get going…find that cure and stop throwing meat at data hungry Zombies.  The world depends on data-driven survivors like you.

God Using Test & Target to Optimize Creation

Cowboy Ten CommandmentsAfter an especially challenging Easter and Passover season, God announced that He has started using Test & Target to optimize Creation.  A long time Omniture client, sources say that He finally chose the leading A/B Testing and Personalization platform because it is the one remaining Omniture product not running His divine Universe.

The author believes this interview was divinely inspired after accidentally eating a Kouing Aman right after Thai food at Adobe Summit 2012:

Me: When did you decide that it was time to start A/B Testing the Universe?

God: Hey man…the idea hit me like a bolt of lightening on Passover.  Every year we remember the ten plagues I inflicted on the ancient Egyptians.  I just thought “whoa…those plagues were expensive man…what if I had done some A/B testing beforehand and learned that I only needed like three to convince Pharaoh to let my people go?”  Then I realized that it’s time to optimize…

Me: What has been the greatest challenge for you in adopting Test & Target?

God: <Pause>

Me: Um…the greatest challenge?

God: Sorry man…I had to tweet like a few hundred million followers just now…clay tablets just don’t cut it anymore.  The greatest challenge?  Well the sales guy said I just needed to add a line of code across Creation.  Truth is that my IT department told me it would take about 60 million years to mBox everything…and then QA it to avoid another mass extinction.

Me: “Another” mass extinction?!

God: We had to run everything server-side in the early days…man I feel bad about the dinosaurs…and let me tell you I wish we had tag management back then.  Do you have any freakin’ idea how hard it is to keep track of every animal on Earth?  Anyway…everything was server side.  Now it’s in the clouds…I love it man…I invented Cloud Power in the first place!

Me: So what did you do about the mBox challenge?

God: We just chose to mBox the most important areas of Creation…you know…like churches…temples…Yosemite…most of the remaining Jewish delis…Verve coffee in Santa Cruz…and the whole state of Kansas.

Me: What did you test first?

God: We made the usual mistakes…I had this really complex test in mind and it took forever to setup and ended up a technical failure.

Me: What happened?

God: We accidentally replaced the Pope with a Platypus.  Fortunately I shut off the Campaign immediately…strangely there didn’t seem to be any major impact to Conversion.  So then we decided to start with the easy stuff…some basic existence testing to see what really mattered.

Me: What did you learn?

God: Lets just say that coffee and sushi really matter.  People freak out if Yosemite isn’t there after a four hour drive and unholy traffic.  Kansas…not so much.

Me: So what’s next?  What’s in the test pipeline?

God: We are on track to start our first multivariate test this summer…we’re going to really mix things up and see which elements work.  All I can say at this point is…look out Kansas….there may be a rainforest in your near future!

Adobe Summit 2012: The Kouing Aman of Conferences

About two hours after enjoying a Kouing Aman, you ask yourself “whoa…what did I just eat?  It was crunchy and sweet on the outside, thick and moist and the inside, and I think it will stick with me for another eight hours.”  I just returned from Adobe (Omniture) Summit, the Kouing Aman of all Conferences.

It’s a big event that descends on Salt Lake City every year…and it got a lot bigger this year.  The venue was larger (Salt Palace), there were twice the number of attendees (~4000), the band was big (Foster the People), and  even the breakout sessions had a pastry-puffed quality.

I also attended the Adobe Un-Summit at the University of Utah the day before.  Although the balance of participants was tilted a little too far towards consultants and academics (and MBA students), the spirit was there.  And I’m not sure that the 10 min rocket pitch approach supports discussions.  But it is an effort to get back to the roots of analytics without the Adobe uber sales engine.  And they served a box of Kouing Aman at break.

It’s a few days later and I’m not sure what I ate.

At the Adobe Summit I attended presentations in the Personalization track.  Most were brief, heavy on images, and tried to split time between a client case study and spiel on the supporting Adobe technology.  I left wanting to learn more about integrating Test & Target with Insight, and about CQ5.  And in general I left early.  But that may have also been because the weather was fantastic and Salt Lake is a very walkable city.

Adobe (Omniture) Summit was great because of the amazing people who attended.

In the hotel lobby and over dinners I spoke with brilliant analysts from REI, The Home Depot, L.L. Bean and American Express.  We talked shop and agreed to keep talking after Summit.  I hung out with the Keystone gang, ate too much sushi, and enjoyed a back-seat view of getting lost in Salt Lake despite 4 smartphones, a lot of digital analytics smarts, and a grid city with super-sized lanes.

Despite all of our Social Media tools and incarnations of “The Digital Self” there is nothing like face-to-face time to accelerate an industry.  So while the Adobe Summit was thick in sales sugar & crust, it was pretty rich on the inside.  And I’m not sure how the right ingredients might have otherwise mixed together.