Intercept Survey Solutions has extensive experience delivering advanced research methodologies. We not only have the technical capability, but we understand the research objectives of using each methodology. Intercept will act as a consultant to you to make sure the right technology and techniques are used to meet your objectives. Here are a few examples of our most popular research techniques.
Conjoints/Discrete Choice
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MaxDiff Exercise
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Segmentation Algorithm
Segmentation algorithms are a method to categorizing respondents based on their attitudes and behaviors. We are typically presented with an Excel file (often refered to as a "Typing Tool") that provides the calculation for each segment. Our clients often receive these from a client, vendor, or other department and do not have knowledge of it themselves. With our strong research background, we are able to dissect it without aid of instruction. A Quality Control manager will also program the algorithm in his data validation specs so that we can be 100% certain the algorithm is accurate when we do our data test prior to launch.
Advanced Quota Logic
Quota logic is one of the top sources for programming errors and mishaps because most programmers do not understand research. At Intercept Survey Solutions, we are all experienced research professionals so we understand your goals and can recommend the right approach. We have a variety of tools available to meet your objectives:
- Fully-Nested: We can fully-nest multiple criterions to achieve an equal balance, obtaining a distinct count in each group. We've used this approach effecitvely for up to 1000 quotas, but it is most often used to achieve a census representation within gender, age, income, region, etc.
- Percentage-Based: We can also use percentages to define the boundaries of your sample, but not force a distinct count in any particular group. For instance, we can ensure a concept assignment meets the census breaks for age and income but does not force age and income to be nested.
- Random/Augment: We understand the objectives of random (representative) and augment (over-quota) quotas and can field both concurrently without impacting the integrity of the representative sample.
- Least-Filled: We regularly use a "least-filled" approach to balance your sample and/or assign the lowest-incidence group, maximizing the value of your sample.