How to Fit a Structural Equation Model in Q
In this post I am going to walk through the steps of fitting a structural equation model (SEM) in Q. The post assumes that you…
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What to do with Customer Feedback Survey Insights
Customer feedback should inform the decisions you make. Here are a few ways to turn feedback insights into actions.
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When to Merge Customer Feedback Survey Data
The term 'data merging' probably doesn't spark joy in your life, but it's an essential part of your workload if you're working with data. Here...
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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...
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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.
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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.
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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...
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How to Check a Choice-Based Conjoint Model
Conjoint analysis, and choice modeling in general, is super-powerful. It allows us to make predictions about the future. However, if the models are poor, the…
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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...
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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...
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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...
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How to Clean and Prepare Open-ended Feedback Data
Open-ended responses are a crucial part of customer feedback surveys. Analyzing the responses can be costly and time-consuming, but the payoffs are clear. The responses...
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Choosing the Perfect Survey Questions
Deciding which questions to include in your customer feedback survey is a pivotal part of your customer-relationship strategy. A lengthy survey will result in a...
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Comparing MaxDiff Results from Different Packages
Every now and then somebody writes to us and asks "Why are these MaxDiff results different from those that I get in Sawtooth?" The assumption...
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Choosing the Right Time to Survey
When should you survey? How often should you survey? These are two of the most difficult questions to answer when it comes to collecting customer...
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Common Mistakes of Survey Design
When it comes to writing survey questions, there are many landmines to avoid. A poorly written question can decrease your response rates, muddy your data,...
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Understanding Logit Scaling
Any model with the word "logit" or "logistic" in it uses something called logit scaling. Logit scaling is a beautiful thing! This post describes how it works...
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7 Ways to Increase Survey Response Rates
Increasing response rates is one of the most challenging tasks when it comes to customer feedback surveys. Here are sevens tips to get customers to...
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