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1. ## survey analysis

Any one out there done survey analysis for usability for focus groups? If so, lend a hand. What methodologies did you use? We have a home-based solution for entertainment (sort of like WebTV) that I can't say what the name is (not out yet) but call it "eLECT" for now.

2. ## Re: survey analysis

You could do a pretty simple overall analytical approach. I would not overdo it necessarily. Just gather data and analyze it in something like Excel. What I would look for are:

Means
Percentages
Deviation/Ranges
Cross-tabulation
Verbatim Response Consolidation

You might also want to get into further methods of paring down your data. In that case consider doing something like gap analysis, regression analysis, or multiple classification analysis.

3. ## Re: survey analysis

Examples would help.

4. ## Re: survey analysis

For the means, consider the users time with "eLECT." For example "users spend 2.4 hours per 24-hour period using eLECT. The male/female split is 2.3/2.0. For children it is 4.2."

For percentages, just take major areas of functionality and do percentage bases on use. For example "52% of male users refer to the XXX features. Only 23% of female users do likewise. But 67% of female users refer to the YYY features as compared to 18% of male users."

For deviations and ranges, you should use these more for comparative relations rather than as absolute figures. For example: "range of daily use of eLECT (95% CI) is 4.6: 0.2-4.8 hours."

For cross-tabulation, take feature sets and average them out with use via some measures. Assume feature XXX tabulated by group and gender. Then you have "Average number of uses of XXX by age group and gender: 21-35 M: 2.2; 36-50 M: 1.1; 21-35 F: 2.4; 36-50 F: 1.7."

For verbatim responses, just record what users actually say! These are your user focus deliverables directly from the user.

It is hard to give examples of the analysis phases without knowing what "eLECT" actually does "like WebTV." Obviously I could make some guesses so for a gap analysis you can basically do 2x2 matrix analyses of, say, "eLECT Satisfaction" as correlated with "Importance of {whatever eLECT does}." For example, you might say "Importance of Television Viewing" or something along those lines.

Regression analysis and/or MCA will be done by proxy if you did initial focus groups. But a lot of this will be the drivers of satisfaction for eLECT. In other words, what differentiates eLECT from its competitors (perhaps WebTV?). This also relates back to the need-to-have/want-to-have matrix that was hopefully done prior to you gathering all of this information.

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