Wizard based survey creation for easy control of all question and answer options. Virtually every question type is supported. If you don't see the question type you need, let us know.

Advanced survey logic gives you the ability to customize the path your respondents take through your survey. You can skip entire sections based on how your respondents answer. Quotas are also supported to ensure a balanced sample. If you don't see the exact survey logic you need, let us know.

Surveys appear as any web page would to your respondents. Company logos, graphics and product concept images can be added anywhere in the survey.

A web link is automatically generated when you create your survey. You can use this link to publish your survey via email or your website. The Address Book provides emailing services for matching responses with email addresses, tracking survey views and completes and sending reminder emails.

Surveys are hosted on our servers. Responses are automatically collected and stored on our databases. The responses are available via the same administrative account where you created your survey.

Surveys can be password protected and you may also prevent multiple submissions from the same respondent.

A crosstab is the cross referencing or comparison of two questions to determine how they are interrelated. A crosstab gets its name from the layout of variable definitions into rows and columns.

The Trend Analysis module allows you to plot aggregated response data over time. Analyzing trends is useful in detecting patterns in survey responses that could lead to future quality problems, and in forecasting future demand periods.

Grouping analysis gives you the ability to segment your data for analysis based on one or more survey responses. Enabling filters on your data offers the capability to analyze data based on gender or age for example.

Total Unduplicated Reach and Frequency Analysis is used to identify a subset of items that, when taken together, maximizes the net level of consumer interest in a superset of choices. Example: you've just tested consumer interest in 10 proposed new ice cream flavors but marketing constraints only allow you to introduce three flavors. TURF can identify the three flavors that, taken together, generate the highest net level of interest for the total line.

Conjoint Analysis is a technique used to assess the different weights individuals place on the variables presented to them in a given purchase situation. A conjoint study usually involves showing respondents product profiles and asking them to indicate (in a variety of ways) how much they like or prefer these alternative product profiles. Statistics are then used to work out the contribution that each product attribute is making to the overall likeability.