logging in or signing up proebsting Talya Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 28 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: November 05, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Tee Time with Admiral Poindexter?(Markets at Microsoft): Tee Time with Admiral Poindexter? (Markets at Microsoft) Todd Proebsting MicrosoftThree Four Types of Researchers: Three Four Types of Researchers Once upon a time I thought there were 3 types of people involved in research: Priests Prostitutes Pragmatists Now, I believe there is a fourth: Promoters (Proselytizers?)Markets Inside Microsoft: Markets Inside Microsoft 6/03: E-Commerce conference introduction 7/03: PAM debacle “Tee time with Admiral Poindexter, Sir?” 9/03: Start market software creation 2/04: Beta Test #1(Wisconsin Democratic Primary) ~50 traders, prize lottery 3/04: Beta Test #2 (DARPA Grand Challenge) ~300 traders, prize lottery 8/04: Two real markets (schedule and bug count for small, internal project) ~25 traders, $50 each 9/04: Two real markets (schedule for small project) ~25 traders, $30 each 2/05: A half-dozen people “really close” to sponsoring marketsPitch: Pitch 10+ Formal presentations, countless informal pitches Better predictions from proper incentives Incentive to reveal true beliefs Incentive to reveal confidence Incentive to gather information Bash competing prediction methods Reality check on prevailing predictions “What does the market know that I don’t know, or what do I know that the market doesn’t know?”Negative Reactions to Idea: Negative Reactions to Idea Insider trading Real money bothers some Real money is needed Boom/bust cycles (irrationality) Gambling Markets don’t work Distraction from real work Redundant mechanism Unstable market (predictions affect decisions) E.g., predicting failure promotes corrections Self-fulfilling market (predictions affect outcome) E.g., predicting success increases budget Conflicting incentives E.g., make money off of project failure Positive incentives E.g., predicting success increases budget, which increases sales, which increase personal gains (bonuses, promotions, …) Needing markets is a sign of a dysfunctional organization Disclosing that the emperor has no clothes damages morale Positive Reactions to Idea: Positive Reactions to Idea Market believers “It was a blast for me as well, finally finding someone as (well, really more) passionate as I about these things. I’ve begun pinging people about whether they want to sponsor one.” Mischief makers “You should run a market on XXX---I’ll short ON TIME.” First “Real” Market: First “Real” Market August 2004: Predict internal product ship date Official, accepted schedule: mid-November 2004 25 traders @ $50, made up of testers, developers, etc. Securities: Pre-NOV, NOV, DEC, JAN, FEB, Post-FEB Within a few minutes of opening, NOV dropped to $0.012… Currently expected to ship in February… Software functioned well Only 60% of traders traded Automated market maker Great liquidity Complicated to explain Satisfying experience to move marketWhat Next?: What Next? Never-ending internal promotion Repeat customers Revenue markets Review-ratings markets Software improvements Democratize/simplify market creation Conditional markets Book orders Web services (simplify remote trading/analysis) You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
proebsting Talya Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 28 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: November 05, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Tee Time with Admiral Poindexter?(Markets at Microsoft): Tee Time with Admiral Poindexter? (Markets at Microsoft) Todd Proebsting MicrosoftThree Four Types of Researchers: Three Four Types of Researchers Once upon a time I thought there were 3 types of people involved in research: Priests Prostitutes Pragmatists Now, I believe there is a fourth: Promoters (Proselytizers?)Markets Inside Microsoft: Markets Inside Microsoft 6/03: E-Commerce conference introduction 7/03: PAM debacle “Tee time with Admiral Poindexter, Sir?” 9/03: Start market software creation 2/04: Beta Test #1(Wisconsin Democratic Primary) ~50 traders, prize lottery 3/04: Beta Test #2 (DARPA Grand Challenge) ~300 traders, prize lottery 8/04: Two real markets (schedule and bug count for small, internal project) ~25 traders, $50 each 9/04: Two real markets (schedule for small project) ~25 traders, $30 each 2/05: A half-dozen people “really close” to sponsoring marketsPitch: Pitch 10+ Formal presentations, countless informal pitches Better predictions from proper incentives Incentive to reveal true beliefs Incentive to reveal confidence Incentive to gather information Bash competing prediction methods Reality check on prevailing predictions “What does the market know that I don’t know, or what do I know that the market doesn’t know?”Negative Reactions to Idea: Negative Reactions to Idea Insider trading Real money bothers some Real money is needed Boom/bust cycles (irrationality) Gambling Markets don’t work Distraction from real work Redundant mechanism Unstable market (predictions affect decisions) E.g., predicting failure promotes corrections Self-fulfilling market (predictions affect outcome) E.g., predicting success increases budget Conflicting incentives E.g., make money off of project failure Positive incentives E.g., predicting success increases budget, which increases sales, which increase personal gains (bonuses, promotions, …) Needing markets is a sign of a dysfunctional organization Disclosing that the emperor has no clothes damages morale Positive Reactions to Idea: Positive Reactions to Idea Market believers “It was a blast for me as well, finally finding someone as (well, really more) passionate as I about these things. I’ve begun pinging people about whether they want to sponsor one.” Mischief makers “You should run a market on XXX---I’ll short ON TIME.” First “Real” Market: First “Real” Market August 2004: Predict internal product ship date Official, accepted schedule: mid-November 2004 25 traders @ $50, made up of testers, developers, etc. Securities: Pre-NOV, NOV, DEC, JAN, FEB, Post-FEB Within a few minutes of opening, NOV dropped to $0.012… Currently expected to ship in February… Software functioned well Only 60% of traders traded Automated market maker Great liquidity Complicated to explain Satisfying experience to move marketWhat Next?: What Next? Never-ending internal promotion Repeat customers Revenue markets Review-ratings markets Software improvements Democratize/simplify market creation Conditional markets Book orders Web services (simplify remote trading/analysis)