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This, in turn, provides insight into what aspects of the conference you might want to alter next time around. Say, for example, you paid a high honorarium to get a top flight keynote speaker for your opening session. Participants gave this speaker and the conference overall high marks. Based on these two facts you might think that having a fabulous (and expensive) keynote speaker is the key to conference success. Regression analysis can help you determine if this is indeed the case. You might find that the popularity of the keynote speaker was a major driver of satisfaction with the conference. If so, next year you’ll want to get a great keynote speaker again. But say the regression shows that, while everyone liked the speaker, this did not contribute much to attendees’ satisfaction with the conference. If that is the case, the big bucks spent on the speaker might be best spent elsewhere. If you take the time to carefully analyze the soundness of your survey data, you’ll be on your way to using the answers to help you make informed decisions.
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