Q for Factor Analysis (PCA)

Easily get factor analysis/ PCA done right

Factor Analysis / Principal Component Analysis should be quick and easy to do. Q makes it so.

Book demo

Fast to use

Drag and drop variables to create a factor analysis / Principal Component Analysis (PCA).

Best practice defaults

Q is set up with the correct defaults for most problems: varimax rotation, lots of iterations, and the Kaiser Rule for selecting the number of components. If you’re an expert you can tweak things, but out-of-the-box it gets the job done the right way.

Expert systems that guide you

In-built expert systems alert you to problems with your data and analysis, providing suggestions for how to fix them.

Easy-to-interpret outputs

We hand-crafted visualizations designed to make it easy to understand the key insights in the factor analysis.

Automatic automation (no code required)

Once you have created your analysis you can have it automatically refresh with new data (e.g., a new clean data file, a new wave of a tracker). Alternatively, you can turn automatic updating off so you can compare to see how results have changed.

Complete (not just factor analysis)

Q is a general-purpose analysis app that does everything from crosstabs to text coding to advanced analysis, driver analysis, and segmentation.

Once you have created your factor analysis, you can use the factors as inputs to all your other work (e.g., crosstabs, regression).

Increase speed

Automate manual tasks and create re-usable analysis and reports.

Find deeper insights

DIY advanced analysis and visualizations.


Manipulate your data with a couple of clicks.

Before Q, market research was a very laborious process. Now I couldn’t do my job without it.


Read Nicola’s story

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