How Good is your Choice Model Experimental Design?
27 February 2019 | by Jake Hoare

[latexpage] Today, you can produce a wide range of choice model experimental designs with numerous different algorithms. But with all this design diversity, how do

Continue reading

12 Techniques for Increasing the Accuracy of Forecasts from Conjoint Analysis
27 February 2019 | by Tim Bock

Choice experiments, also known as choice-based conjoint (CBC), are widely used for predicting the performance of new products and changes to products’ designs and portfolios.

Continue reading

Experimental Design for Conjoint Analysis: Overview and Examples
27 February 2019 | by Tim Bock

This post introduces the key concepts in designing experiments for choice-based conjoint analysis (also known as choice modeling). I use a simple example to describe

Continue reading

What Sample Sizes do you Need for Conjoint Analysis?
27 February 2019 | by Tim Bock

Working out the sample size required for a choice-based conjoint study is a mixture of art and science. What makes it tricky is that the

Continue reading

Writing a Questionnaire for a Conjoint Analysis Study
27 February 2019 | by Tim Bock

The hard bit of designing a choice-based conjoint analysis (choice modeling) study is creating the experimental design. However, there are a few others parts of

Continue reading

Main Applications of Conjoint Analysis
27 February 2019 | by Tim Bock

Ready to dive further into conjoint analysis? In this post I describe the main applications of choice-based conjoint analysis (choice modeling; CBC). If you haven’t

Continue reading

Conjoint Analysis: The Basics
27 February 2019 | by Tim Bock

Choice-based conjoint analysis is a technique for quantifying how the attributes of products and services affect their performance. It is used to help decision makers

Continue reading

How to Identify Relevant Variables for Market Segmentation
05 February 2019 | by Tim Bock

This page lists the key frameworks and processes for identifying relevant variables to use when segmenting a market. The best way to identify relevant segmentation

Continue reading

How to Write “Golden Questions” for Market Segmentation
05 February 2019 | by Tim Bock

Golden questions are questions used to allocate people to segments. They are also known as self-selection questions. The main applications of golden questions are: As discovery

Continue reading

How to Work Out the Number of Segments For a Market Segmentation
05 February 2019 | by Tim Bock

When segmenting a market, a practical challenge is to work out the number of segments. There are eight approaches to choosing the number of segments:

Continue reading

How to Reuse Code Frames in Q
22 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

Continue reading

How to Code Other/Specify Responses in Q
22 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

Continue reading

How to Code an Open-Ended Question into a Single Response Question in Q
22 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

Continue reading

How to Code Open-Ended Responses with Multiple Mentions in Q
22 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

Continue reading

How to Code an Open-Ended Question into a Multiple Response Question in Q
22 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

Continue reading

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

Continue reading

How to Relabel Rows and Columns of Tables using R in Q
21 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. Consider the example table

Continue reading

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

Continue reading

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”,

Continue reading

How to Sort Your Data using 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

Continue reading

How to Select a Random Sample in Q
02 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

Continue reading

How to Do Filters, Banners and Stat Testing in Q
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

New Ways to Visualize 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

Changing the Way Your Data Looks so You Can Do More with It
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

Keep updated with the lastest in market research

* indicates required