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August 27, 2007

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Don Creswell

Great input from Sean. It continues to amaze me that many people are reluctant to work with numbers! For instance, just today I was talking with an executive of a major international company who was perplexed because his people virtually refused to put numbers on forecasts about future markets, market penetration, etc., citing that "we can't put numbers on things we don't know." And, people wonder why so many projects or new products fail! Uncertainty is there whether you like it or not - so at least try to deal with it in some sort of quantitative manner. Recognize what you don't know - identify the tiger pits - and do something about resolving the critical uncertainties. Wishing away uncertainty is a sure path to failure. Dealing effectively with uncertainty is a great path to improving the success rate of projects, products and new business ventures.

Sean Murphy

It was a good talk. I blogged about the article in advance of the event here:
http://skmurphy.com/blog/2007/08/14/paul-saffo-at-churchill-club-breakfast-tue-aug-28/
and blogged about the event itself here:
http://skmurphy.com/blog/2007/08/28/paul-saffo-on-forecasting-innovation-in-silicon-valley/

Uberpulse covered it here
http://www.uberpulse.com/us/2007/08/good_forecasting_step_back_look_at_the_big_picture_futurist_paul_saffo_says.php
and has some video attached that is also here: http://www.youtube.com/watch?v=qEHcCrX729s

You make a good point in that Saffo never gives the mathematics for the edge of the cone of uncertainty, where SmartOrg's Portfolio Navigator or Decision Advisor would take a more quantitative look at it and explicitly set the midpoint of the cone at the 50th percentile and the two outer edges at the 10th and 90th. It's not clear that the IFTF methodology attempts to put any numbers on a decision, in reading the article and hear him talk he cast the forecasting process as more of an intuitive and ethnographic (can we find evidence of emerging subculture like robotics that's getting ready to break into the mainstream) methodology than a quantitative one.

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