Market Research.

Market research is used to figure out how things work. This is often by systematically gathering data about people or companies using surveys.

Here, we write about the main market research techniques. These techniques include correspondence analysis, MaxDiff, and choice modeling. We also share tips and tricks for significance testing. And how to best present market research findings using PowerPoint and online dashboards (sometimes considered a better alternative to PowerPoint) are explored.

How to Code an Open-Ended Question into a Multiple Response Question in Q
23 January 2019 | by Oliver Harrison
Coding open-ended responses can often be a tedious task for market researchers. In this post I will show you how to easily code a single...

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How to Code Open-Ended Responses with Multiple Mentions in Q
23 January 2019 | by Oliver Harrison
Coding open-ended responses can often be a tedious task for market researchers. In this post I will show you how to easily code multiple open-ended...

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Using Q
How to Reuse Code Frames in Q
23 January 2019 | by Oliver Harrison
Coding open-ended and ‘other/specify’ responses can often be a tedious task for market researchers. In this post I will instead show you how to reuse...

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How to Code Other/Specify Responses in Q
23 January 2019 | by Oliver Harrison
Coding open-ended responses can often be a tedious and time-consuming task for market researchers, especially when you include an 'Other/specify' option and then need to...

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Using Q
How to Code an Open-Ended Question into a Single Response Question in Q
23 January 2019 | by Oliver Harrison
Coding open-ended responses can often be a tedious task for market researchers. In this post I will show you how to easily code a single...

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Using Q
How to Create a Box Plot in Q
21 January 2019 | by Chris Facer
Box plots are a tidy way to illustrate statistical properties of a set of numeric data. A box plot will typically show you the median...

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Using Q
How to Relabel Rows and Columns of Tables using R in Q
17 January 2019 | by Matt Steele
Q enables you to flexibly mix data from different tables. The mixing process creates a new table as an R Output.

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How to Do Principal Components Analysis in Q
16 January 2019 | by Chris Facer
Principal Components Analysis (PCA) is a technique for taking a large number of variables and creating a new, smaller set of variables. These aim to...

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Relational versus Transactional NPS
16 January 2019 | by Tim Ali
Good customer success programs utilize a combination of relational and transactional NPS metrics. Both utilize the same survey methodology with the primary difference being simply...

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Using Q
How to Blank and Cap Cells of Tables Using R in Q
14 January 2019 | by Matt Steele
After you make a table, you might like to modify the contents of the cells. Perhaps you want to make the table easier to read...

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Analyzing Customer Satisfaction Scores
09 January 2019 | by Mattias Engdahl
Having collected your customer satisfaction data, it’s time to do some analysis. Here I've outlined four common and simple methods of analyzing your CSAT score.

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Using Q
How to Connect to a MySQL Database in Q
09 January 2019 | by Tim Ali
Having the ability to connect to a SQL database can provide greater opportunities for analyzing data sources. In this blog I will show you how...

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How to Convert Dates into Different Time Zones in Q
09 January 2019 | by Oliver Harrison
Working with dates and times can be challenging at the best of times, let alone when they are in the wrong time zone or format,...

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How to Create a Banner in Q
07 January 2019 | by Daren Jackson
In constructing crosstabs, it can be helpful to see more than one question on an individual axis. Other instances may require labels to be "nested",...

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Using Q
How to Sort your Data with R in Q
02 January 2019 | by Matt Steele
Automatically sorting your tables and charts is a key thing researchers like to do. Q has lots of ways to do this for you automatically...

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How to Select a Random Sample in Q
01 January 2019 | by Oliver Harrison
There are occasions when you have collected more records than necessary for a survey and you want to randomly remove the surplus or you simply...

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Analyzing Changes in Customer Satisfaction (+ Free Template)
28 December 2018 | by Carmen Chan
One of the most important things you want to ensure when selling a product or service is that customer satisfaction is not deteriorating over time. You can...

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Preparing Data for Predictive Lead Scoring – a Case Study
24 December 2018 | by Jake Hoare
This is the second of a series of posts with a worked example of predictive lead scoring. In this post I focus on getting data...

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