Analyzing Sentiment in Customer Feedback Responses
Open-ended survey responses can be difficult to analyze. Algorithms and data models that work well with numeric and multiple-choice data often struggle to make sense...
How to Check Your Customer Feedback Analysis for Statistical Significance
Checking for statistical significance is a crucial part of any statistical analysis. With Displayr's built-in significance testing, separating signal from noise is a breeze.
Top 4 Visualizations For Your Customer Satisfaction Data
Customer satisfaction is one of the most valuable customer feedback metrics. Here are the top four visualizations to find stories in your customer satisfaction data.
How to Identify Key Drivers in Your Net Promoter Score
Doing driver analysis with your Net Promoter Score allows you to gain a deeper understanding of your customers and their responses to your survey. An...
Comparing HB Root-likelihood (RLH) Between Displayr and Sawtooth
I am going to compare the performance of Hierarchical Bayes (HB) algorithms in Displayr and Sawtooth, using root-likelihood (RLH) as a metric to determine the superior...
Creating Online Conjoint Analysis Choice Simulators Using Displayr
Displayr creates an online choice simulator with the click of a few buttons. In this post I describe how to create a simulator, customize both...
Testing Whether an Attribute Should be Numeric or Categorical in Conjoint Analysis
Choice-based conjoint (CBC) studies usually specify a fixed number of levels for each attribute. The resulting attribute then becomes categorical. But that doesn't mean you...