Engagement vs. Satisfaction Survey
May 21, 2009 | 1:46 PMThe most successful organizational change programs are the ones that are supported by sound information and solid facts. Though ESS or employee satisfaction surveys have been around for a long time now, it was only recently that the “engagement” buzzword caught on, and how! Let’s take a look at the fundamental differences between engagement and satisfaction surveys and their process of administration. As you will find out, they are most definitely not the same things.
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Dipstick Engagement Survey |
Employee Satisfaction Survey |
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| Meaning | Employee engagement means that the employee is comfortable with their role and will do what the role demands, with or without supervision | Employee satisfaction is a measure of how happy workers are with their job and working environment, and whether their basic work related requirements are met |
| Objectives |
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| Differences |
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| Advantages | Lesser Cost: Lesser administrative cost are involved as the data is only collected from a part of the member population
Lesser Time: It is possible to arrive at the result far more quickly because fewer units are contacted and lesser data needs to be processed Lesser Response Burden: Fewer people have to respond to the survey More Control: Smaller scale of operation facilitates better quality and monitoring |
Accuracy and preciseness: Zero sample variance* means that the results are hard facts Comprehensive Data: Extensive coverage means detailed data and the ability to cover and analyze sub-groups and extensive coverage of all factors Employee Perception: This type of survey sends a message that all opinions matter, thus increasing active participation |
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| Areas Covered | Primarily emotional factors:
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| Administration Process |
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| Scoring Index | In most cases responses are indexed in three ways:
1. Overall score: is arrived at by taking the average of all the responses 2. Section wise break-up: is arrived at by taking the average of responses under each section Question wise horizontal break-up: is arrived at by taking the average of all the responses received for each question |
Method followed here is the same as with engagement dipstick surveys; with overall score, section wise break-up and question wise horizontal break-up, the only difference being that the employees are also asked to rate the sections on their relative importance i.e. the value that the employees place on them. |
Follow up Machinery:
Brief the senior management based about the strong points and the areas of development of the organization by conducting a normative analysis of the survey results
Share the survey results with the management team and the employee via e-mail and employee meetings
Finalize on the improvement areas and create an itemized action plan based on it
Select the team responsible for implementing the action plan including team leaders and managers, providing specific training where required
Regularly track the progress of the action plan and share the information with the senior management
Pitfalls in execution:
Design and implementation pitfalls:
What do you want from the survey?
The first step of any survey is to objectively arrive at the purpose of the survey. Whether it is to prove a hypothesis, predict future behavior or assess a current scenario, it must be stated clearly and concisely beforehand.
During questionnaire design:
- Questions not aligned with the study objective in mind
- Including lengthy, biased, difficult or ambiguous questions
- Questionnaire not sufficiently reviewed before being circulated
- Pre-testing not performed, this may result in a lot of “don’t know/not sure” responses to potentially confusing or lengthy questions
During Sample selection:
- Unnecessarily increasing sample size to compensate for “less responses”; for example it is better to have 260 people responding out of 300 than 5500 out of 10000.
- Using non-probability sampling where actually probability sampling is required
- Employees not kept in the loop while selecting a sample, resulting in a feeling of resentment amongst those not included in the sample
During data Processing:
- Skipping step to save time can negatively impact the usefulness of the survey
- Counterintuitive results or impossible/inconsistent answers are not cross-checked
- Weak non-responder policy/execution can result in a flawed survey outcome
Other Pitfalls:
- Inefficient follow-up action – A loosely implemented action plan can spell complete wastage of resources as the survey will have little or no impact on the employee satisfaction, engagement or performance; the survey is thus reduced to obscure piece of information.
- Disinterested workers – The fate of a survey is majorly pre-decided by the level of interest employee’s display towards it, a survey of disinterested people cannot result in anything interesting. Therefore it is essential to take the employees into confidence by communication exercises before the commencement of the survey so as to explain the nature and scope of the survey.
- Confidentiality not ensured – Responses tend to be biased if confidentially is not expressly ensured by the survey administrators and the management, because all participants tend to select the ‘most appropriate answer’ instead of the ‘factual answer’. While communicating this it should be made clear that the purpose of the survey is not to judge the employees but to judge the factors affecting the organization.
- Unrealistic employee expectation of the survey – Employers as a rule should avoid asking question on the areas where they do not want and/or do not see any scope for change; this is not only purposeless but also tends to unnecessarily raise employee expectations eventually leading to resentment.
*THE payback is that for every 10 percent improvement in engagement, the company reaps an increase in the employee’s effort level by 6 percent, according to the Hay Group, a Philadelphia-based survey firm.





