Survey respondent segmentation based on market opportunity score

This should be relatively straight-forward based on your instructions and the literature around outcome-driven innovation. I would use the R statistical programming language (it is free to use, so you could easily implement it in future projects). * From the information provided, this looks like a three-stage process. Firstly, calculate opportunity scores. You've not represented the opportunity algorithm exactly right (it is also slightly misleading in the HBR article); it should be Opportunity = Importance + max( Importance - Satisfaction , 0 ) in order to stress Importance above Satisfaction. Secondly, use factor analysis to reduce the number of dimensions. Thirdly, this now allows you to use a number of different clustering algorithms to segment the respondents. ** I should add, I did loads of this type of statistical analysis during my PhD.

I am well experience in Excel and SPSS data analysis, power pivot table, regression (Trend line) & correlation analysis, statistical test, linear programming, formula creation, graph creation and report writing. I have completed some projects for my research organization (Bangladesh Forest Research Institute), some of which is stored in my portfolio project (https://www.freelancer.com/u/EngrShahidul.html). In the portfolio project, you may go through “Anxiety and depression data analysis” file, for your satisfaction please. Please let me know your data and objective of the study (requirement of analysis), so that I can think of your job. I can communicate with you through Skype for interview and during a working shift.

Btech from IIT with 3 years work experience in project management and data analysis. Pursuing MBA from IIM. I have done segmentation using cluster analysis in SPSS/R/Minitab and can reproduce it perfectly.