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Presented by Global Survey
CHALLENGE
There were two sets of same questions asked to Main Brand which was fixed v/s
Competitive Brands. The logic was not simple as Competitive Brands were again
divided into two categories: X – Brands & Non X Brands.
If Doctors selected Main Brands with X & Non- X Brand , then by default X- Brand
selected has to be shown with Main Brand. If X – Brand is not selected , then it will be
between the Main Brand v/s Non X- Brand
In this study, there were multiple X – Brands/ Non X- Brands that we’ve gone through
which only one brand having to move forward.
SOLUTION
Due to limitations on Survey Monkey, we controlled using Randomization and Priority basis over X
Brands & Non X Brands.
Alternative solutions on showing questions which were not possible due to limitations, but to meet
research needs we changed the type of questions to get researcher a perfect data for what they were
looking for.
We successfully ran up to 10 brands combination.
RESULT
It was a great learning experience due to the challenges while testing to control over brands Randomization,
however; we managed to deliver links under the given timeframe.
The team performed very efficiently, significantly reducing the completed task time by 20-40%.
Services Offered
Provided Excel raw data in client format for Data
processing as Survey Monkey export was not in a
readable / processing format.
Flexibility in timings which help client in keeping
tracking on latest updates which saved time for both
Client/End Client.
Again here due to some limitations and less flexibility of
tool in the terms of Tabulation, we covered all analysis/
Statistics requirements as per Analysis plan shared by
client.
Merging of two different sets of data using SPSS , we
delivered all requested Tables requested by Researcher.
We did Open End Coding in Excel itself as responses
were less in order to save time and cost to the Company.
ABOUT THIS CASE STUDY
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