You’ve built your survey, launched it, and collected the data. Congratulations!

Now what?

What’s the message buried in all that data? How do I figure it out?

Your survey software tool provides graphs and tables, but you need to do more and your college statistics class is a distant — and bad — memory.

Are we improving?

Perhaps some survey scores have changed over time and management wants to know why. You think the change may just be randomness that’s part of surveying.  How do you prove that to management?

What’s important?

Management wants to know what’s driving satisfaction and where to focus improvement efforts. How can you find that in the survey data?

If you’re looking at your spreadsheet unsure how to give voice to all that data, then the Survey Data Analysis Workshop will get you on the right track.

The Workshop will teach you how to effectively analyze a survey data set and unlock the meaning in that data.

At the end of this 1-day data analysis class, you will know how to…

  • Find the full message in your survey data
  • Apply the proper statistical procedure to answer a research question
  • Present the findings in a more compelling manner

Overview of the Survey Data Analysis Workshop

A well-designed survey questionnaire, learned in our companion Survey Design Workshop, will capture the voice of the customer, employee or other stakeholder group in a data set. The job of the survey analysis phase is to give voice to that data, find out the stories it has to tell about your organization. The value of the survey program will be lost unless the data set is analyzed properly and thoroughly — and reported convincingly. The results will support fact-based decision-making.

Unfortunately, the learning from college statistics classes tend not to stick. We approach this Data Analysis Workshop by starting with the typical questions you are likely to want answered from the survey analysis. For example,

  • How well did our organization perform?
  • What’s my survey accuracy?
  • Did survey results differ across groups of respondents?
  • What are the key drivers of overall satisfaction (or similar attitude)? What are the respondents saying is most important to them?

Then using the language of statistics, we teach the statistical procedures to answer those questions. (See the Detailed Curriculum.)  We show how to do this analysis in Excel.  You may have access to a more powerful statistical tool, but Excel is a good common language for explaining the concepts.  Most basic data analysis and graphing can readily be done in Excel.

Crunching the numbers is only half the data analysis story. You need to present the findings in a compelling report.  We conclude the workshop presenting the typical elements in a survey report and the type of charts and graphs that best present data from the various question formats.

Survey data analysis is best learned by doing. Our workshop shows step-by-step how to perform the analysis. Bring a laptop and your own data set if you wish to apply the techniques right there in the class.

This workshop is not a substitute for college-level statistics class — after all, it’s a one-day class! If you’ve taken statistics, you’ll learn how to apply those forgotten lessons. Given time constraints, we do not get into background theory.

Learn More…

How do our attendees rate the course?

  • 96.8% say this workshop will make them “much more effective on their next survey project”
  • 96.4% also say they would “recommend this workshop to a colleague with basic-to-intermediate survey background”