Before we started building Q, we were a data science consultancy that specialized in pricing research, and Q reflects this lineage. We’ve built in all the key tools that are required for pricing research.
In addition to supporting all the standard analysis tools used in pricing research (driver analysis, log transforms, scatterplots, etc.), Q has conjoint analysis specifically designed for the analysis of numeric attributes (i.e., price variables), and a fully-automated Van Westendorp Price Sensitivity Meter visualization.
Q can analyze data from surveys, sales records (e.g., from SQL), and cost data, so you can do all your analyses in one app.
Drag and drop variables to perform your analysis. No need for writing code (unless you want to).
Q is a general-purpose analysis app designed for pricing research, brand research, customer satisfaction, and pretty much any other type of analysis you need to do. This means that you can do all your work in one app.
Automate manual tasks and create re-usable analysis and reports.
DIY advanced analysis and visualizations.
Manipulate your data with a couple of clicks.
