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System and method to capture Real Feedback from Survey Results

IP.com Disclosure Number: IPCOM000247753D
Publication Date: 2016-Oct-06
Document File: 3 page(s) / 153K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is the system to capture real feedback from survey results. When the system sends out a questionnaire as in Employment engagement survey to all the employees there is no guarantee that everyone reads all the questions and the individual just answer it for the sake of completing it. •With explained scenario (real situations), the higher level management / company won’t get accurate feedback for the areas of improvement as the total survey responses does include fluke answers given by couple of employees of that organization. •The other area where the system uses the questionnaire is Interviews, exams. But not every individual reads the question and answer for the heck of doing it. •The genuine response rate is crucial for research because the lower it is the greater the danger. So the system has to identify a methodology which would segregate such fluke responses and derive proper results.

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System and method to capture Real Feedback from Survey Results Problem Statement: •When we send out a questionnaire as in Employment engagement survey to all the employees there is no  guarantee that everyone reads all the questions and they just answer it for the sake of completing it. 


•With explained scenario (real situations), the higher level management / company won't get accurate  feedback for the areas of improvement as the total survey responses does include fluke answers given by  couple of employees of that organization.
•Other areas where we use questionnaire is Interviews, exams. But not every individual reads the question  they might just answer for the heck of doing it.
•The genuine response rate is crucial for research because the lower it is the greater the danger. So we have  to identify a methodology which would segregate such fluke responses and derive proper results. 

Solution:

     The proposing mechanism called "Evident questions" which are included in between the actual  questionnaire. Evident questions in the proposed idea context are, set of questions for which the answer is  obvious and the person, who is taking that questionnaire, will definitely answer it correctly if he reads that  questions.

For instance: For a survey taking place in Software company. The Evident question goes like this: 

      Example 1:

In your workplace, is your office computer running with operating system in it?
a) Strongly Agree  b) Agree c)Neutral     d)Disagree  e)Completely disagree The question is obvious and whoever reads this have to answer it as option "a". 

Example 2:

I'm comfortable with the company HR Policies, Choose the last but one option from the below
a)Strongly Agree  b)Agree c)Neutral     d)Disagree  e)Completely disagree The question is obvious and whoever reads this have to answer it as option "d". 
 
Using Evident Questions defined above we are proposing the below possible solutions.

1) Below is an example of how the new proposal works in Academic entrance tests  if we take EAMCET exams where there is no negative marking and if we take IIT / competitive exams we do  have negative marking. 
If there is an instance where we want to make sure candidate should read the question before answering it  and at the same time we don't want to impose negative marking difficulty level, for such cases the proposed  technique will act as a medium level to minimize the luck factor in providing the answers by the students.

For instance: A student is just trying to answer all the questions by selecting the option 'A' as an response ...