Enter your name, your company name, or any other name that helps identify the owner of this survey.

Type your last name, or your company name, or other name here that helps identifying the owner of this survey.

Tell LogRatio what type of survey this is by choosing one of four categories:

• Educational if the survey is for academic purposes, such as the final paper of an MBA degree


• Non-profit if the purpose of the survey is helping Non-Governmental Organizations and the like


• Business if it is a survey research for a commercial project


• Select Others if other categories do not apply

Select the language used for this survey

Enter your email address.

Attach the file with your survey data here.

Online survey software such as SurveyMonkey can export survey data in a CSV or XLSX file.

LogRatio is able to decipher the file structure of most online survey providers. Therefore, simply export your survey data, for instance in a CSV file and attach it here.

Click the Next button and LogRatio creates your professional survey report.

For purposes of trying out LogRatio, select your survey file (CSV or XLSX) or try one of the test files.

Select the date this survey started gathering interviews.

Select the date this survey stopped gathering interviews.

Tell LogRatio what to call this survey.

How large is the population this survey sample comes from?

For instance, if the survey is supposed to represent the whole Swiss population you may enter "8400000" in this field.

However, populations larger than one million are said to be "infinite". If the size of your population exceeds this figure simply type "1000000" in this field.

Sample surveys that back up important decisions should reproduce accurately, under probabilistic assumptions, the characteristics of interest of the surveyed population.

When launching new products, for example, we may desire accurate data, say with 95% Confidence Level. This means, if we repeat the same survey 100 times under the same conditions and with the same population, 95 times we shall get very similar results.

The confidence level of survey studies for business purposes is often set at 95%, but it is not unusual the case of levels ranging 90% to 99%. Note: the higher the confidence level the larger the sample and more expensive the survey.

Also called Hypothesis of the Study, this parameter can help significantly reduce the size of a sample without impact on the accuracy of survey results.

Suppose you want to estimate the proportion of respondents purchasing wine in the past month and you assume (better if you have evidence from a previous survey) that 35% did in fact buy wine. You can set the population proportion parameter to 0.35, this way reducing the sample size without negatively impacting the accuracy of the survey.

It requires 2’395 interviews to survey an infinite population at the 95% Confidence interval, 2% Error level, and Population proportion equal to 0.50. When the Population proportion is set to 0.35 the sample size reduces to 2’180 interviews.

If not sure, leave the Population proportion at 0.50 (or 50%) - indicating you do not have any prior information about the population under investigation.

LogRatio reports include five standard analyses:

• Sample size analysis, including an overall judgment of the survey as a whole and improvement suggestions in case you repeat it.


• Correlation analysis of all closed-ended questions. This helps in measuring relationships and eventually finding structural patterns and data models.


• Descriptive statistics include standard statistics (like mean, median, min, max, etc.), box-plots, and frequency values with histogram for each closed-ended questions.


• Cluster analysis of closed-ended questions, which helps in finding homogeneous clusters (groups). LogRatio runs two separate cluster analyses: (1) of respondents (rows) and (2) of closed-ended questions (column variables).


• Cross tables show the survey data in great detail. Crosstabs are the traditional tool of marketing research agencies to analyze survey data. LogRatio provides all two-way tables that can be made with the variables of a survey, to explore survey data in very fine detail.