Curiosity is our guide.
Clarity is our goal.

Quantitative research gives clients the confidence they need to make big decisions. We design and field rigorous quantitative research studies and deploy analytical techniques to support brand, product, and customer experience teams.

• Consumer Segmentation & Cluster Analysis: Survey people in a target population, then break that population into subgroups based on shared characteristics (e.g., behavioral, psychographic, motivational, and demographic factors). Leverage survey data to recommend which segments our client should target for growth, why, and how best do so.

• Driver Analysis: Determine the importance of an independent variable in predicting a dependent variable. Typically, an independent variable includes product or brand characteristics, and a dependent variable includes product or brand preference or usage.

• Pricing Research: Deploy a research method (e.g., Gabor-Granger, Van Westendorp,  conjoint analysis, etc.) to evaluate current prices or determine the best price for a new product.

• Conjoint Analysis: Identify a product or service’s ideal combination of attributes. An existing or potential product or service is broken down into a list of features or attributes; respondents are then shown different combinations of these attributes and asked which combination they prefer. Ultimately, the data tells us the relative value of each attribute.s.

• MaxDiff Analysis: Repeatedly present survey respondents with a list of items (typically 3–6 at a time from 12–25 items) and ask them to select the most and least preferred items. It’s cognitively easy for respondents to answer these questions, but it produces powerful insight into the relative importance of the items tested.

• Demand Forecasting: Use primary survey research and secondary data points to predict the future demand for a product or service.