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There are no hard and fast rules for analyzing the data. Much depends on the individual survey, the questions asked and the number of responses.

Most surveys will benefit from many of the results being displayed in graphical as well as tabular form.

When first analyzing survey data often a number of 'headline' results will immediately stand out that will provide you with a general overview and, providing the right questions have been asked, give you an instant assessment of the mood throughout the organization as a whole.

Where the results give areas of concern a more detailed analysis may be advisable. For example if employees were asked if they felt the organization provided equal opportunities to both genders and 25% gave a negative response it would be useful to know the gender split of the organization and also to look at what the gender split was of the 25% that answered negatively. Was the negative view shared by employees of both genders, evenly spread throughout the organization, or of a particular gender from a particular department?

There is a method of reporting that presents the result data in tabular and/or graphical form allowing those who are interested in the results to view the raw data.

Often used as a compliment to the first, another method is to interpret the results and provide an analysis of the data and offer a view as to what the meaning is behind the results, what circumstances may have contributed to the results being as they are and, where the results indicate a negative, what initiatives could be taken. Such analysis if done by a single individual is likely to be very personal, if done by a committee it is still likely to be objective and therefore open to interpretation.