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Prioritization  Strategies Trevor Lohrbeer @FastFedora [email_address]
What Is A Priority? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Why do we prioritize? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Prioritize  Using Data
Proxy ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Score ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Score Normalize – Weight – Sum  Position = (Value – Min) / (Max – Min) Index = Cost Index + Length Index Score = ((Cost Position * 2) + (Length Position * 1)) / (2 + 1) 720 40.9% 115 32.8% 115 605 45.0% $605,000 Email archiving 717 42.1% 137 40.0% 137 580 43.1% $580,000 SAN Deployment 789 46.8% 155 45.9% 155 634 47.2% $634,000 Supply chain support 929 54.9% 174 52.1% 174 755 56.3% $755,000 Supply chain support 933 57.3% 211 64.3% 211 722 53.9% $722,000 Virtualization project 1,434 76.1% 101 28.2% 101 1,333 100.0% $1,333,000 Archiving & audit solutions 1,307 77.1% 227 69.5% 227 1,080 80.9% $1,080,000 Supply chain support 1,212 77.8% 320 100.0% 320 892 66.7% $892,000 Supply chain support Index Score Index Position Length Index Position Budget Project Name
Prioritize by Sorting
Arrange ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Divide & Conquer ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Prioritize by Deriving Values
Pro/Con ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],-2
Weighted Pro/Con ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],+2
Grid Analysis Ratings: 0 - 5 43 1 0 2 4 3 3 Station Wagon 51 5 5 3 1 0 4 Sports Car 60 3 3 2 3 5 2 Hatchback 64 4 3 4 3 3 3 Sedan   3 2 4 2 5 3 Weights: Total Style Coolness Amenities Space MPG Cost  
Paired Comparison D. Come In Late C C. Work @ Home D C B. Extra $10K D C B A. Extra Week D. Come In Late C. Work @ Home B. Extra $10K A. Extra Week 0 A. Extra Week 1 B. Extra $10K 2 D. Come In Late 3 C. Work @ Home
Additional Techniques ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Comparative vs Isolated ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Convert Categories to Numbers ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Prioritization Strategies (BarCamp Boston 6)

  • 1. Prioritization Strategies Trevor Lohrbeer @FastFedora [email_address]
  • 2.
  • 3.
  • 5.
  • 6.
  • 7. Score Normalize – Weight – Sum Position = (Value – Min) / (Max – Min) Index = Cost Index + Length Index Score = ((Cost Position * 2) + (Length Position * 1)) / (2 + 1) 720 40.9% 115 32.8% 115 605 45.0% $605,000 Email archiving 717 42.1% 137 40.0% 137 580 43.1% $580,000 SAN Deployment 789 46.8% 155 45.9% 155 634 47.2% $634,000 Supply chain support 929 54.9% 174 52.1% 174 755 56.3% $755,000 Supply chain support 933 57.3% 211 64.3% 211 722 53.9% $722,000 Virtualization project 1,434 76.1% 101 28.2% 101 1,333 100.0% $1,333,000 Archiving & audit solutions 1,307 77.1% 227 69.5% 227 1,080 80.9% $1,080,000 Supply chain support 1,212 77.8% 320 100.0% 320 892 66.7% $892,000 Supply chain support Index Score Index Position Length Index Position Budget Project Name
  • 9.
  • 10.
  • 12.
  • 13.
  • 14. Grid Analysis Ratings: 0 - 5 43 1 0 2 4 3 3 Station Wagon 51 5 5 3 1 0 4 Sports Car 60 3 3 2 3 5 2 Hatchback 64 4 3 4 3 3 3 Sedan   3 2 4 2 5 3 Weights: Total Style Coolness Amenities Space MPG Cost  
  • 15. Paired Comparison D. Come In Late C C. Work @ Home D C B. Extra $10K D C B A. Extra Week D. Come In Late C. Work @ Home B. Extra $10K A. Extra Week 0 A. Extra Week 1 B. Extra $10K 2 D. Come In Late 3 C. Work @ Home
  • 16.
  • 17.
  • 18.