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Survey Case Study:
This is a case study to show how MetaCause can analyse patterns from survey data. A short survey was run on the Cannon Data web site for 1 week, and respondents were asked to answer 5 short questions about their lifestyle.
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Data Collection
Design a survey and present it to a panel of respondents
View Survey |
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Raw Survey Data
Once the respondents have filled out the survey, you will have a table of raw results. On its own, this data has little meaning and must be analysed to extract the information
View Raw Data (download in csv format) |
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MetaCause Analysis
The MetaCause turns the raw respondent data into clear and accurate information.
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Results
The results are clear, accurate and easy to interpret
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The Results
Q1 - Finance Which of the following activities do you plan to undertake in the next 12 months?
Yes = Optimal, No = Avoid |
Report Output |
Q2 - Shopping How important are the following factors in deciding where to do your grocery shopping?
5 = Optimal, 1 = Avoid |
Report Output |
Q3 - Leisure Expenditure Approximately how much do you spend on your own leisure activities each month?
High Spend= Optimal, Low Spend= Avoid |
Report Output |
Q4 - Travel Where are you planning to travel for pleasure in the next 12 months?
Yes = Optimal, No = Avoid |
Report Output |
Q5 - Training and Education Are you planning on working towards starting any training or qualifications in the next 12 months?
Yes = Optimal, No = Avoid |
Report Output |
Analysing survey data using MetaCause gives you clear information about consumer behaviours almost instantly. The simple to use software applies very advanced techniques enabling you to identify current and changing consumer behaviour, and react quickly.
MetaCause can improve your analysis and your ability to identify consumer behaviour and new business opportunities.
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