Although your organization may be running well it is our belief that with the right information about your communication it can be running better. Everything you do in your organization (product styling and price, salesperson's demeanor and dress, store décor, company stationary, etc.) communicates something to your clients. Every brand contact delivers an impression that can either facilitate or hinder your brand image.
 
We have worked with clients to develop custom marketing research surveys and consumer insights tools to gather information regarding consumers' perceptions of our clients' organizations. This information, coupled with the right statistical analyses and interpretation, is then be linked to various business drivers for our clients' organizations. We help you understand what your business is communicating to your buyers and we provide insight regarding how to best frame your organizational messages.
 
At Stevens Group, we take a scientific approach to gaining market knowledge as it relates to your core business practices. We have years of experience using advanced statistical analyses and we use our knowledge of both quantitative and qualitative methods to design research plans tailored to your immediate needs.
 
Our customer satisfaction services will allow you to see your organization through the perspective of an outside observer. By getting into the mind-space of your customers you will be in a position to make valuable, consumer-centered decisions.

Analyses

With our experience with statistics we have the ability to look for relationships between measured variables that a person could not see with the naked eye. Our use of advanced statistical analyses allows us to examine how variables relate to each other, how variables predict one another, if differences between variables are significant or spurious, and if certain variables can be considered the cause of other variables.

• Correlation analyses allow us to see the association between variables. For example, correlation analyses allow us to determine if the relationship between employee friendliness and a consumer’s overall satisfaction with an organization is positive (or negative) and significant (or non-significant).
• Analyses of variance allow us to check if the difference between the mean scores from one population and the mean scores from another population are statistically significant. For instance, these analyses allow us to determine if there are any significant differences in the perceptions of an organization's reputation as they apply to current customers and non-customers. Moreover, we can examine if there is a difference in the perceptions of an organization as they apply to frequent and infrequent customers.
• Regression analyses allow us to determine which variable(s) best predict(s) our outcome variables. That is, regression analysis will allow us to determine whether the food, the environment, or the employees at in an organization best predict a return visit to a certain restaurant.
• Structural Equation Modeling allows us to conduct path analyses to examine the linear relationships between groups of variables. Using structural equation modeling allows us to estimate presumed causal relationships between observed variables.