The objective of most primary research studies is to enable decision making, which in turn is entirely dependent on data collected on field. Post defining a right approach for data collection, next comes quality check of data before finally putting it to analysis. It is extremely important to have a basic understanding of the respondents surveyed before performing quality check on the data.
Channelplay’s market research vertical practices the following measures of quality check:
Question/Respondent |
Respondent 1 |
Respondent 2 |
Respondent 3 |
Which brands of milk do you buy? |
Brand A |
-- |
Brand B |
Question/Respondent |
Respondent 1 |
Respondent 2 |
Respondent 3 |
Quantum of consumption of milk per day (in litres) |
2 |
3 |
20 |
b. Linked set of questions/responses: There are certain linked set of questions where responses should be supporting each other.
Question/Respondent |
Brand A |
Brand B |
Brand C |
Highly satisfied buyers |
75% |
65% |
35% |
Willingness to buy again |
20% |
60% |
40% |
Channelplay’s market research team takes immense caution in analyzing the responses gathered from the field. We tackle these errors by connecting with the respondents & verifying the information. The surveys which do not pass the prescribed quality checks are re-conducted.