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Beyond benchmarking Filip De Boeck Kristof De Wulf
Prediction is very difficult, especially if it’s about the future (Niels Bohr)      “ Prediction  is very difficult, especially if it's about the future. ”   Niels  Bohr
 
 
A structured research process to guide decisions
Type II error Type I error NO GO GO NO GO GO Appropriate action Action taken A product / concept that has the potential to generate strong trial and  should be proceeded through the innovation funnel. A product / concept that has the potential to generate strong trial, BUT requires some adaptations before being considered for market launch.   A product/concept that will struggle to maintain distribution .
Benchmarking in order to reduce type I and II error
Current benchmarking practices ,[object Object],[object Object],[object Object],[object Object],[object Object]
Shortcomings of benchmarking Reflections of the past
Shortcomings of benchmarking Research design bias
Shortcomings of benchmarking Sampling distortions
Shortcomings of benchmarking TRIAL 10,0 15,0 20,0 25,0 30,0 35,0 40,0 45,0 50,0 30% 40% 50% 60% 70% 80% 90% 100% UNIQUENESS Comparability of data across markets Australia Brazil Canada China Germany France Hungary Italy Holland Russia Spain UK US Belgium bias / noise true difference Difference between markets  (better fit of concept with local habits, maturity of the category,...) (response style, sampling distortion, ...)
Study design ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Innovation Potential Index (IPI) ,[object Object],[object Object]
Innovation Potential Index (IPI) ,[object Object],[object Object]
Innovation Potential Index (IPI) Anna Maarten Ravi Juan Dave Buying intent new concept Natural tendency to adopt Innovation Potential Index + + + + + = = = = =
Market Potential Index (MPI) ,[object Object],[object Object]
Key research propositions ,[object Object],[object Object],[object Object],[object Object],[object Object],    
InSites International Innovation Matrix Assess cross-country potential of a concept
InSites International Innovation Matrix Assess cross-country potential of a concept  Fight for priority Ride the tube Bail out Assess wave quality
Case in point: potato concept
Case in point: potato concept Extrinsic winners True winners Low downs Intrinsic winners Market Potential Index Innovation Potential Index From ‘go’ to ‘no go’ From ‘no go’ to ‘go’ Australia Brazil Canada China Germany France Hungary Italy Holland Russia Spain UK US Belgium
Case in point: sauce concept
Case in point: sauce concept Extrinsic winners True winners Low downs Intrinsic winners Market Potential Index Innovation Potential Index From ‘go’ to ‘no go’ From ‘no go’ to ‘go’ Australia Brazil Canada China Germany France Hungary Italy Holland Russia Spain UK US Belgium
Implications ,[object Object],[object Object],[object Object]
Some limitations ,[object Object],[object Object],[object Object]
Thanks for listening. Looking forward to your ideas!

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Concept calibration: ESOMAR Innovate conference 2008

  • 1. Beyond benchmarking Filip De Boeck Kristof De Wulf
  • 2. Prediction is very difficult, especially if it’s about the future (Niels Bohr)      “ Prediction is very difficult, especially if it's about the future. ”   Niels Bohr
  • 3.  
  • 4.  
  • 5. A structured research process to guide decisions
  • 6. Type II error Type I error NO GO GO NO GO GO Appropriate action Action taken A product / concept that has the potential to generate strong trial and should be proceeded through the innovation funnel. A product / concept that has the potential to generate strong trial, BUT requires some adaptations before being considered for market launch. A product/concept that will struggle to maintain distribution .
  • 7. Benchmarking in order to reduce type I and II error
  • 8.
  • 9. Shortcomings of benchmarking Reflections of the past
  • 10. Shortcomings of benchmarking Research design bias
  • 11. Shortcomings of benchmarking Sampling distortions
  • 12. Shortcomings of benchmarking TRIAL 10,0 15,0 20,0 25,0 30,0 35,0 40,0 45,0 50,0 30% 40% 50% 60% 70% 80% 90% 100% UNIQUENESS Comparability of data across markets Australia Brazil Canada China Germany France Hungary Italy Holland Russia Spain UK US Belgium bias / noise true difference Difference between markets (better fit of concept with local habits, maturity of the category,...) (response style, sampling distortion, ...)
  • 13.
  • 14.
  • 15.
  • 16. Innovation Potential Index (IPI) Anna Maarten Ravi Juan Dave Buying intent new concept Natural tendency to adopt Innovation Potential Index + + + + + = = = = =
  • 17.
  • 18.
  • 19. InSites International Innovation Matrix Assess cross-country potential of a concept
  • 20. InSites International Innovation Matrix Assess cross-country potential of a concept Fight for priority Ride the tube Bail out Assess wave quality
  • 21. Case in point: potato concept
  • 22. Case in point: potato concept Extrinsic winners True winners Low downs Intrinsic winners Market Potential Index Innovation Potential Index From ‘go’ to ‘no go’ From ‘no go’ to ‘go’ Australia Brazil Canada China Germany France Hungary Italy Holland Russia Spain UK US Belgium
  • 23. Case in point: sauce concept
  • 24. Case in point: sauce concept Extrinsic winners True winners Low downs Intrinsic winners Market Potential Index Innovation Potential Index From ‘go’ to ‘no go’ From ‘no go’ to ‘go’ Australia Brazil Canada China Germany France Hungary Italy Holland Russia Spain UK US Belgium
  • 25.
  • 26.
  • 27. Thanks for listening. Looking forward to your ideas!