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- In our qualitative projects we use Team Production System.
->One team is dedicated to plan and execute the whole project from A to Z.
- Executives who are closest to the category lead the project.
->Ensuring adequate research design on the category.
- Our researchers have significant knowledge on the local culture and the region.
->Ensuring smooth execution of the project and capture of reliable information.
- Our moderators have over 10 years experience in the Middle East.
->Ensuring reliable group discussions and extraction of the required information.
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Our reports are user friendly
->Ensuring delivery of conclusive and actionable findings to you.
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We use multiple conventional qualitative techniques in our
qualitative interviews, some of those techniques are:
- Word Association -> Words associated to express feelings.
- Sentence completion -> Sentence completed to express expectation.
- Story completion -> Story completed to express expectation.
- Personification -> Explanation of a brand as a human being.
- Bubble Drawing -> Explanation of hidden or sensitive feelings by writing.
- House building -> Organizing the features of a brand in terms of their role.
- Collage -> Using pictures to express emotions and beliefs.
- Role Playing -> Playing the role of some one else in order to express.
- Brand Mapping -> Organizing brands into groups and naming those groups.
- Listing exercise -> List of statements based on image, importance, etc.
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We use a variety of techniques to analyze the quantitative research data. Some of them are:
- Significance testing -> To identify if the gap between two variables is significant.
- Correspondence Analysis -> To understand which image attributes are closer to which brand.
- Correlation analysis -> To understand the relationship between two measures.
- Regression -> To identify the equation which links two variables.
- Factor Analysis -> To reduce the data, in order to identify closely associated variables to brands.
- Cluster Analysis -> To identify clusters/ segments in the market.
- Conjoint Analysis -> To understand the utility of each product attribute to the user.
