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When I watched this webcast around Predictify, I recalled a great scene in the movie Princess Bride where Vizzini, the criminal mastermind, loses a “battle of wits” to the Man In Black, the hero, when posed the life or death question:

Vizzini’s dizzying reasoning (leading to his death) is a perfect example on why Wisdom of the Crowds (WotC) is becoming popular. With just our wetware to help us we tend to mess up in two primary ways:

  • We don’t analyze all the possibilities
  • We don’t weight the ones we do see properly

Vizzini’s deductive tailspin was a perfect example. About halfway through he mentions an angle that would lead him to the right answer … “you could have put the poison in your own goblet” … but then skips on to other options. A crowd of smart people might have helped him pause there and explore / weight that option better. Really it’s very similar to ‘Poll the Audience’ or ‘Phone a Friend’ (ala the game show Who Wants to be a Millionaire?). This webcast talks about a how Predictify, a WotC player, takes this problem solving style up a notch. So if you are curious on how your friends, the audience, and Regis Philbin could help your business … this webcast is for you.

  • Mike Agnich

    • CTO @ Zazzle (custom screen print store) before Predictify. 2000 Grad from Stanford.
  • This one warms up about 15 minutes in to hint at new ways (to me) that WotC can be applied for business. For that alone its a worthy listen.
  • Hard to get a crowd answer for a niche segment that doesn’t amuse the broad spectrum of consumers. However, Predictify begins to hint at solving this.
  • My words but Mike hints at this. In WotC solutions it is easy to lose sight of the right answer (ala Vizzini) due to the noise of all the possibilities. This is compounded by the fact that the crowd, like most crowds, is made up of people that do really good in some categories but horrible in others. The crowd might not have a clear (or right) answer in aggregate but the wisdom is IN there. You just have to find it.

3. If You Say “Crowd” … Shouldn’t You Think “Marketing”?

  • This was the best point, I thought. To date people use WotC solutions to get perspective on problems. However, if you look at it from another viewpoint its a variant of social networks. People getting together doing what they like to do … debating questions of the day. Fighting to earn the reputation of being the next great Kreskin in their niche of the world. The companies that facilitate that process (soliciting, tracking predictions) get the power of continual relationship and subliminal messaging to those power customers. That is an excellent marketing angle no matter where you come from.

Read the detail scribble below for more aspects … segmentation of answers by demographic, branded pages on their servers, etc. Predictify is taking an exciting space and adding even more excitment.

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****** START OF RAW SCRIBBLE TAKEN WHILE RUNNING ******
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crowd sourcing, game, Mike Agnich, predictions, Web 2.0
• http://www.fastcompany.tv/video/using-crowds-predict-outcomes-predictify
• 6/12/2008, 6:33 AM
• Mike Agnich
• Web is old information … how to provide forward looking information
• Sports, Stocks, Pop , Business, Politics … Various questions studies
……………..○ Bauer Comment - So limited to questions that masses have opinions on
• Focus questions into style of asking measurable events
• Some people predict better
• Track who can predict better than others …
……………..○ Bauer Comment - more interesting, finding the kreskin(s) in the crowd
……………..○ They group / evolve people into bands of experience beginners, apprentices
• 6/12/2008, 6:39 AM
• MSFT Example
……………..○ Key is picking gem commentary from haystack
……………..○ Anonymous commentary
• How measure right answer.
……………..○ Market, Sportsline,
• 6/12/2008, 6:41 AM
• Incentive system
……………..○ Reputation building
……………..○ Competition (W/L record)
……………..○ Premium questions (paid for)
…………………………….§ Two types of questions - free and pay-for
…………………………….§ Pay-for pays for right answer
…………………………….§ Bauer Comment - Similar to that one company that presented @ TED
……………..○ 4 times as much $ if you are right
• ? Sponsorer Get Additional Data
……………..○ Demographics
……………..○ Level of historical accuracy
……………..○ Age, Gender
……………..○ Customer segmentation inline w/ marketing
• 6/12/2008, 6:44 AM
• Commentary by racial lines for politics
• Key is that the outlier answers fall away leaving the right answer
• 6/12/2008, 6:45 AM
• How big does the community need to be for good accuracy
……………..○ Depends on ? Style (statistics)
…………………………….§ Binary question (Y/N) is harder to lock in
……………………………………………□ Bauer Comment - Interesting, so Y/N isn’t really too telling as the guess noise creeps in
……………..○ 1000 I a good rule of thumb
• 6/12/2008, 6:46 AM
• Elections have helped w/ his demographics
……………..○ Age spread is good
……………..○ More Male than Female
……………..○ Questions on site is cerebral … so mature crowd
• 6/12/2008, 6:47 AM
• Linking to Facebook? To grow demographics?
……………..○ How expand / integrate to other social sites being reviewed
……………..○ Need open networks
• 6/12/2008, 6:48 AM
• Free service
• Mobile client?
……………..○ Bauer Comment - Not specifically answered
• Email contact types (them to users)
……………..○ Bauer Comment - Not a clear answer
• 6/12/2008, 6:49 AM
• Vegas Line … Bad Indicator
……………..○ Not saying what will happen …. Says what will make $
……………..○ Frame questions on not ‘who you want to win’ … rather … ‘who will win’ … try to separate person from the question … ‘what do you think will happen’
…………………………….§ Bauer Comment - so question style is key to elicit good stats … separation of personal bias … focus on attributes that drive the answer
• 6/12/2008, 6:51 AM
• Demo
……………..○ Image
……………..○
……………..○ High Level of comments … 2 comments per 3 logins
…………………………….§ Opportunity to think
……………..○ Example is one where Obama / Clinton debate will resolve
……………..○ Graph types
…………………………….§ Scatterplot
…………………………….§ Histogram
……………..○ Filter by types of predictor (their historical accuracy) … regraph
……………..○ Filter by demographic type
…………………………….§ Bauer Comment - real time rendering of graphing
……………..○ Free question … See level of expertise filter only
……………..○ Don’t talk about sponsor of ?’s (Scoble asked)
……………..○ Market research use … primary focus … consumer product companies … companies like Coke, Pepsi, Phizer, GM … those are the targets … companies trying to get people engaged to their brand online
……………..○ Engagement Advertising
…………………………….§ Move - Post trailer
…………………………….§ Sponsor … Don’t care about results … just trying to build brand
…………………………….§ Bauer Comment - Interesting. Instead of social network based competition … go for engagement marketing
…………………………….§ In pilot stage w/ a few companies on that angle
…………………………….§ 6/12/2008, 6:58 AM
…………………………….§ Deeper than just a poll question … allow broader answer and interaction with group responding … comments, filters, etc
……………..○ 6/12/2008, 6:59 AM
……………..○ Track friends and what they are predicting
……………..○ Widget for blogs sharing predictions
…………………………….§ They see a more compelling model
…………………………….§ Platform. 5 minutes. Create a branded page. Customize questions. Leaderboard. Etc.
……………………………………………□ Bauer Comment - Bad. UX wise people hit one page on a blog.
…………………………….§ They are working with Mashable to create a ‘question’ page on product launches … etc
…………………………….§ Scoble … wants to cross compare blogs
…………………………….§ Photoshop .. Put graphs next to each other
** END RAW SCRIBBLE TAKEN WHILE RUNNING **

Tim Bauer’s Running Thoughts, Jun 2008

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