We use the numbers generated by hard facts to ground an idea, concept, or decision. By adding a qualitative element, the value of the research is greatly increased, without adding additional expense.	At Research Between the Lines, we strive to integrate a qualitative element into quantitative studies to provide a bit of “color” with which to interpret results.
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Concept Test - To identify the most promising new product concepts, we conduct an online concept test with category users. Using this methodology, our clients learn what ideas to optimize for further development. We work to understand what factors are relevant to the purchase decision and then make sure we ask the right questions based on this understanding.

CLT (Central Location Test) – Central location testing allows us to observe and interact with respondents as they test products in a controlled setting. In this situation, we can assure that stimuli are prepared and presented per client specifications. This is especially important when conducting tests for new menu items or food items for CPG customers.

Package Test – Our package testing methodology shows which of several new designs has the most potential to motivate purchase, or what improvements can be made to an existing design. Tests can be conducted in a central location or online. In either case, we always include a qualitative component so you learn the “why’s” behind the numbers.

Name Appeal and Diagnostics – We test brand names and flavor names on the factors relevant to your product, such as taste appeal, perceived benefit, perceived value, and purchase likelihood. Following our quali-quant approach, we also include brief qualitative exercises that allow us to analyze the message the name conveys, and why a name receives high or low ratings.

Product Concept Fit (In Home Use Test) – To confirm whether a product delivers on its promise, it needs to be tested in use. For consumer products used in the home, an IHUT answers that question. We design an IHUT program that meets the specific needs of your company, so it’s efficient, repeatable, and builds a database against which you can benchmark new products. In addition to the numbers, we gather detailed open-end responses and include interviews with a subset of the respondents, so you not only see the ratings, but understand the reasons behind them.

TURF Analysis –TURF (Total Unduplicated Reach and Frequency) analysis enables you to select the optimal set of SKUs in a line that will maximize the line’s penetration. This test helps you avoid a line that just includes the top scoring items on Purchase Intent, that all appeal to the same consumers. When designing a line offering, including an item that may not have been rated as highly, but appeals to a different set of consumers, can generate incremental business.

Customer Experience Optimization – SatisTrack™ -- Customer satisfaction has a direct impact on your ability to protect and grow your market share. SatisTrack is a turnkey service, so you can concentrate on what's important…serving your customers.