Getting Started with Q Part 3: Reporting Made Easy
12 November 2018 | by Chris Facer

In this article, I show you how quick and easy it is to make all the tables you need for your report. I look at

Continue reading

Getting Started with Q Part 4: Visualize the Stories in Your Data
12 November 2018 | by Chris Facer

Q understands how important visualizing data can be in finding and communicating the story you want to tell with your data. Q has a selection

Continue reading

Getting Started with Q Part 2: Q is Best Friends with Survey Data
12 November 2018 | by Chris Facer

Q understands the language of survey data, and this allows it to automate important aspects of your workflow. It sets up your data in a

Continue reading

Getting Started with Q Part 5: Advanced Analyses
12 November 2018 | by Chris Facer

Q can do so much more than generating tables. You can do segmentation, key driver analysis, MaxDiff, and a whole range of other advanced techniques.

Continue reading

Getting Started with Q Part 1: Understand the Q Workflow
09 November 2018 | by Chris Facer

Q makes it easy for market researchers to discover the stories in their data. At Q, we understand market research and the structure of survey

Continue reading

Focusing the Results of Correspondence Analysis in Q
26 October 2018 | by Jake Hoare

Correspondence analysis is often used to visualize a table of data. When we are interested in a specific row of the table, the results can be focused.

Continue reading

How to Export Updatable Text to PowerPoint from Q
19 October 2018 | by Chris Facer

Most Q users would be familiar with Q’s PowerPoint export options. The normal option allows you to export your tables to PowerPoint and create charts

Continue reading

How to Make a Geographic Map in Q
19 October 2018 | by Tim Ali

Geographic map visualizations are a great way to show comparative values across countries, states, or regions. The geographic map shades the color of leach location

Continue reading

How to do Traditional Correspondence Analysis in Q
18 October 2018 | by Chris Facer

Correspondence analysis is a data analysis technique which summarizes the patterns in a table of data as a visualization. Tables with more than a handful

Continue reading

Keep updated with the lastest in market research

* indicates required