data analysis

 


 Our systematic block design allows us to analyze each section of the questionnaire separately and assign scores to 

 your important issues. 

 We will determine whether your clients are seeing you the way you want them to see you, develop measures of

 customer satisfaction and loyalty, issues causing customer attrition and at risk customers, determine why they

 purchased and what are their criteria to buy, assess future service/product opportunities, and update their profiles

 and/or business practices.    

 We use quantitative scales to convert responses to numbers.  This enables us to avoid guesswork in evaluating your
 customer's responses.  We also rely on some open-ended comments for qualitative evaluations.
 Any reliable customer survey must benefit the bottom line.  Upon analysis of returned questionnaires, we will
 provide a ranking of all important topics and recommendations. 

 To make sure the recommendations are effective, we will work with you to carry out a pilot implementation of the

 results before full implementation.  Upon completion of the pilot work, we will estimate your ROI (return on

 investment) before full implementation.

 Some of our clients need data analysis support and some refinements with their survey instruments.  They have

 already collected data through primary or secondary sources, and need to analyze it.  We will work with you to

 improve your questionnaire and data collection procedures, and will analyze your collected data.  Our data

 analysis approach includes a variety of techniques such as frequency distribution, charts and graphs, cross

 tabulation tables, descriptive analysis, as well as more advanced statistical techniques such as probability analysis, 

 test of hypothesis, ANOVA and correlation and regression analysis.  Upon completion of our analysis, we will

 provide reports including actionable recommendations and will work with you to determine your ROI before

 implementations.