After having collected all the necessary information during your customer survey, a crucial step arrives: that of reading and deciphering the results of your questionnaire. What tools are available to you to analyze the results of a questionnaire ? Analyzing the results of a questionnaire requires real precise work. We have collected some keys to help you in your approach.
Points to check before analyzing the results
Before proceeding to the stage of analysis of the results of your questionnaire, you should pay close attention to two important points. First check the number of responses. Out of a sample of 200 people, you must collect 200. A sufficient response rate guarantees that you collect data that truly reflects the opinion of the target population. Make sure you have a representative sample of the population, otherwise you won't be able to get reasonably reliable data. For this, you can follow the quota method to select a representative sample.
How to analyze a survey questionnaire?
The information collected during the questionnaire must be statistically exploitable in order to give you details on a specific subject. A questionnaire is a method of collecting quantifiable data presented in the form of several questions. Regularly used in the social sciences to collect a large number of responses, the questionnaire provides information on a very specific subject.
In marketing, several companies use the questionnaire to collect information on the degree of customer satisfaction or the quality of the products and services provided. The responses obtained following a questionnaire are analyzed using precise statistical tools. Analyze the results of a questionnaire is the fifth step of the satisfaction survey. During this step:
- we collect the answers;
- the answers are stripped;
- the sample is checked;
- the results are integrated;
- the investigation report is written.
Two methods of analyzing questionnaire responses
Once the data has been collected, the investigator writes a summary table on a summary document called a tabulation table. The answers to each question are noted on the board. The counting can be manual or computerized. In the first case, it is recommended to use a table to be methodical, organized and not to make mistakes. Each question should have a column. The computerized method ofanalysis of the results of the questionnaire consists in using software specialized in the analysis of the answers of the questionnaires which can have a triple role: to write the poll, to distribute it and to decipher it.
Analysis of questionnaire responses by sorting
The data sorting step is an important step in analysis of the results of a questionnaire. Here, the analyst who sorts the data will do so in two different ways. A flat sort which is the basic and simple method of transforming the answers into statistical measures. The measure is obtained by dividing the number of responses obtained for each criterion by the final number of responses.
Even if this method of analysis is very simple, it remains insufficient, because it is not deep. The second method is that of cross-sorting, which is an analysis method that makes it possible to establish a link between two or more questions, hence its name “cross-sorting”. Crosssorting calculates “a sum, average, or other aggregation function, then groups the results into two sets of values: one defined on the side of the datasheet and the other horizontally across the top of it. this. ". This method facilitates the reading data from the questionnaire and makes it possible to carry out a detailed analysis of a determined subject.
Should a professional be called in to analyze the results?
Because'analysis of the results of a questionnaire is a very technical process, companies wishing to have an in-depth analysis, criterion by criterion, must call on a professional. A questionnaire is a gold mine of information that should not be taken lightly. If your questionnaire deals with generalities, a simple analysis by flat sorting can be satisfactory, but sometimes a data analysis requires processes like tri-combined or multiple that only a professional can understand. In order to collect a large amount of information and to carry out an in-depth reading of the results, you must arm yourself with a broad knowledge of the world of information decryption and a mastery of statistical tools.
