Survey Select Online

Par Excellence provides you with online survey capabilities from start to finish.

Panel Recruitment
With respondents in over 200 countries, over 35 languages and hundreds of attributes and criteria, Par Excellence has access to low incidence and difficult to reach demographics. Our consumer panels, B2B panels, and specialty panels allow us to reach targeted populations easily. Panelists go through a double opt in screening process and rigorous recruiting methods are implemented.

Specialty panels include low incidence populations such as:
  - Medical practitioners such as physicians & nurses
  - Business executives
  - Ethnic panels
  - Youth
  - People with specific illnesses
  - Technology experts
  - Pregnant & new parents

Data Collection
Our consultants are formally trained in survey design and create engaging surveys, designed for reliable data collection. Our consultants carefully prepare each survey with your research needs, and required types of analyses in mind. After the creation of the questionnaire, we quickly program and execute the survey. Whether you need a simple survey or complex formats, our consultants work in an efficient, timely, professional manner.

Advanced Technology
In addition to standard online surveys, our advanced survey software provides us with the ability to construct surveys specifically for advanced analytics. Following are descriptions of two types of these sophisticated capabilities.

Adaptive conjoint analysis (ACA)
In data collection for the purpose of Adaptive Conjoint Analysis, our interview software intelligently adapts questions based on the previous answers of the respondent. This allows us to investigate "what if" situations by changing pricing, product formulations or marketing activities. This can be conducted with up to 10 attributes, and each attribute can include up to 15 stages of "intelligence".

Standard conjoint analysis is often limited by available data collection methods. The capacity of many studies has also been inhibited by limitations in respondents' time and attention span. ACA gets past this problem. Early on during the interview the software gains enough knowledge of each respondent's values to concentrate on areas of importance to that respondent. This allows more attributes to be tested and results in higher quality data.

Choice-based conjoint (CBC)
Choice based conjoint is very effective in evaluating products and services when there are relatively few attributes. In CBC analysis, respondents communicate preferences by choosing concepts from concept groups, instead of ranking choices. This is advantageous as it simulates actual buyer behaviors. In this type of analysis it is possible to feature "product- or alternative- specific" attribute levels.

Please view our Data Analysis page for further information.