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11/14/2007 Carla Fair-Wright Decision Models RAISING PERFORMANCE. TOGETHER TM Performance T H R O U G H  L E A D E R S H I P COMPRESSION SYSTEMS
Decision Models Using Models to Improve the  Decision Process RAISING PERFORMANCE. TOGETHER TM COMPRESSION SYSTEMS
Decision Making Techniques ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Decision Making Techniques ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example: Pareto Analysis ,[object Object],[object Object],[object Object]
Example: Pareto Analysis 1) Phones are only answered after many rings.  2) Staff seem distracted and under pressure.  3) Engineers do not appear to be well organized. They need second visits to bring extra parts. This means that customers have to take more holiday to be there a second time. 4) Staff members do not always seem to know what they are doing. 5) Sometimes when staff members arrive, the customer finds that the problem could have been solved over the phone. 6) They do not know what time they will arrive. This means that customers may have to be in all day for an engineer to visit.
Example: Pareto Analysis Lack of staff training: items 5 and 6:  51 complaints Too few staff: items 1, 2 and 4:  21 complaints Poor organization and preparation: item 3:  2 complaints By doing the Pareto analysis above, the manager can better see that the vast majority of problems (69%) can be solved by improving staff skills.
Decision Making Techniques ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example:  Paired Comparison Analysis  As a simple example, an entrepreneur is looking at ways in which she can expand her business.  She has  limited resources , but also has the options she lists below: Expand into overseas markets Expand in home markets Improve customer service Improve quality
Example:  Paired Comparison Analysis
Example:  Paired Comparison Analysis  Finally she adds up the A, B, C and D values, and converts each into a percentage of the total. This gives these totals: A = 3 (37.5%) B = 1 (12.5%) C = 4 (50%) D = 0. Here it is most important to improve customer service (C) and then to tackle export markets (A). Quality is not a high priority - perhaps it is good already.
Decision Making Techniques ,[object Object],[object Object],[object Object],[object Object]
Grid Analysis  The first step is to list your options and then the factors that are important for making the decision  Lay the options  (options as the row labels, and factors as the column headings.) The next step is to work your way across your table, scoring each option for each of the important factors in your decision.
Grid Analysis  Score each option from 0 (poor) to 3 (very good).  Now multiply each of your scores by the values for your relative importance. This will give them the correct overall weight in your decision.
Example: Grid Analysis  A windsurfing enthusiast is about to replace his car. He needs one that not only  carries a board  and sails, but also that will be good for  business travel . He has always  loved  open-topped  sports cars . No car he can find is good for all three things. His options are: An SUV/4x4, hard topped vehicle A comfortable 'family car' A station wagon/estate car A sports car
Example: Grid Analysis  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example: Grid Analysis  Next he decides the relative weights for each of the factors. He multiplies these by the scores already entered, and totals them   Score each option from 0 (poor) to 3 (very good).
Example: Grid Analysis  This gives an interesting result: Despite its lack of fun, a station wagon may be the best choice. If the wind-surfer still feels unhappy with the decision, maybe he has underestimated the  importance  of one of the factors. Perhaps he should weight 'fun' by 7!
Decision Making Techniques ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Decision Making Techniques ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Decision Making Techniques ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
11/14/2007 Carla Fair-Wright Decision Models RAISING PERFORMANCE. TOGETHER TM Performance T H R O U G H  L E A D E R S H I P COMPRESSION SYSTEMS
Decision Making Techniques ,[object Object],[object Object],[object Object]
Decision Making Techniques ,[object Object],[object Object],[object Object],[object Object]
Decision Making Techniques ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example: Force Field Analysis  ,[object Object]
Example: Force Field Analysis  ,[object Object],Better Flow of Work Eliminate Redundancy Promote Top Talent Plan  Reorganize  Office
Example: Force Field Analysis  Better Flow of Work Eliminate Redundancy Promote Top Talent Plan  Reorganize  Office Administrative Cultural Impact Lost Work What the Forces for Change vs. Forces Against
Force Field Analysis
Decision Making Techniques ,[object Object],[object Object],[object Object]
Decision Making Techniques ,[object Object],[object Object],[object Object],[object Object],[object Object]

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Decisions

  • 1. 11/14/2007 Carla Fair-Wright Decision Models RAISING PERFORMANCE. TOGETHER TM Performance T H R O U G H L E A D E R S H I P COMPRESSION SYSTEMS
  • 2. Decision Models Using Models to Improve the Decision Process RAISING PERFORMANCE. TOGETHER TM COMPRESSION SYSTEMS
  • 3.
  • 4.
  • 5.
  • 6. Example: Pareto Analysis 1) Phones are only answered after many rings. 2) Staff seem distracted and under pressure. 3) Engineers do not appear to be well organized. They need second visits to bring extra parts. This means that customers have to take more holiday to be there a second time. 4) Staff members do not always seem to know what they are doing. 5) Sometimes when staff members arrive, the customer finds that the problem could have been solved over the phone. 6) They do not know what time they will arrive. This means that customers may have to be in all day for an engineer to visit.
  • 7. Example: Pareto Analysis Lack of staff training: items 5 and 6: 51 complaints Too few staff: items 1, 2 and 4: 21 complaints Poor organization and preparation: item 3: 2 complaints By doing the Pareto analysis above, the manager can better see that the vast majority of problems (69%) can be solved by improving staff skills.
  • 8.
  • 9. Example: Paired Comparison Analysis As a simple example, an entrepreneur is looking at ways in which she can expand her business. She has limited resources , but also has the options she lists below: Expand into overseas markets Expand in home markets Improve customer service Improve quality
  • 10. Example: Paired Comparison Analysis
  • 11. Example: Paired Comparison Analysis Finally she adds up the A, B, C and D values, and converts each into a percentage of the total. This gives these totals: A = 3 (37.5%) B = 1 (12.5%) C = 4 (50%) D = 0. Here it is most important to improve customer service (C) and then to tackle export markets (A). Quality is not a high priority - perhaps it is good already.
  • 12.
  • 13. Grid Analysis The first step is to list your options and then the factors that are important for making the decision Lay the options (options as the row labels, and factors as the column headings.) The next step is to work your way across your table, scoring each option for each of the important factors in your decision.
  • 14. Grid Analysis Score each option from 0 (poor) to 3 (very good). Now multiply each of your scores by the values for your relative importance. This will give them the correct overall weight in your decision.
  • 15. Example: Grid Analysis A windsurfing enthusiast is about to replace his car. He needs one that not only carries a board and sails, but also that will be good for business travel . He has always loved open-topped sports cars . No car he can find is good for all three things. His options are: An SUV/4x4, hard topped vehicle A comfortable 'family car' A station wagon/estate car A sports car
  • 16.
  • 17. Example: Grid Analysis Next he decides the relative weights for each of the factors. He multiplies these by the scores already entered, and totals them Score each option from 0 (poor) to 3 (very good).
  • 18. Example: Grid Analysis This gives an interesting result: Despite its lack of fun, a station wagon may be the best choice. If the wind-surfer still feels unhappy with the decision, maybe he has underestimated the importance of one of the factors. Perhaps he should weight 'fun' by 7!
  • 19.
  • 20.
  • 21.
  • 22. 11/14/2007 Carla Fair-Wright Decision Models RAISING PERFORMANCE. TOGETHER TM Performance T H R O U G H L E A D E R S H I P COMPRESSION SYSTEMS
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28. Example: Force Field Analysis Better Flow of Work Eliminate Redundancy Promote Top Talent Plan Reorganize Office Administrative Cultural Impact Lost Work What the Forces for Change vs. Forces Against
  • 30.
  • 31.

Editor's Notes

  1. The manager groups these problems together. He then scores each group by the number of complaints, and orders the list: Lack of staff training: items 5 and 6: 51 complaints Too few staff: items 1, 2 and 4: 21 complaints Poor organization and preparation: item 3: 2 complaints By doing the Pareto analysis above, the manager can better see that the vast majority of problems (69%) can be solved by improving staff skills. Once this is done, it may be worth looking at increasing the number of staff members. Alternatively, as staff members become more able to solve problems over the phone, maybe the need for new staff members may decline. It looks as if comments on poor organization and preparation may be rare, and could be caused by problems beyond the manager's control. By carrying out a Pareto Analysis, the manager is able to focus on training as an issue, rather than spreading effort over training, taking on new staff members, and possibly installing a new computer system.
  2. White Hat: With this thinking hat you focus on the data available. Look at the information you have, and see what you can learn from it. Look for gaps in your knowledge, and either try to fill them or take account of them. This is where you analyze past trends, and try to extrapolate from historical data. Red Hat: 'Wearing' the red hat, you look at problems using intuition, gut reaction, and emotion. Also try to think how other people will react emotionally. Try to understand the responses of people who do not fully know your reasoning. Black Hat: Using black hat thinking, look at all the bad points of the decision. Look at it cautiously and defensively. Try to see why it might not work. This is important because it highlights the weak points in a plan. It allows you to eliminate them, alter them, or prepare contingency plans to counter them. Black Hat thinking helps to make your plans 'tougher' and more resilient. It can also help you to spot fatal flaws and risks before you embark on a course of action. Black Hat thinking is one of the real benefits of this technique, as many successful people get so used to thinking positively that often they cannot see problems in advance. This leaves them under-prepared for difficulties. Yellow Hat: The yellow hat helps you to think positively. It is the optimistic viewpoint that helps you to see all the benefits of the decision and the value in it. Yellow Hat thinking helps you to keep going when everything looks gloomy and difficult. Green Hat: The Green Hat stands for creativity. This is where you can develop creative solutions to a problem. It is a freewheeling way of thinking, in which there is little criticism of ideas. A whole range of creativity tools can help you here. Blue Hat: The Blue Hat stands for process control. This is the hat worn by people chairing meetings. When running into difficulties because ideas are running dry, they may direct activity into Green Hat thinking. When contingency plans are needed, they will ask for Black Hat thinking, etc.