Anomaly Detection in eXperience Management | Response Count Time Series
Introduction Anomaly detection is an important business problem that allows identification of anomalous events and their subsequent analysis and remediation1. According to Hawkins an anomaly is an ...
By Grzegorz Chlebus
Verifying Accuracy in Statistical Tests
Statistical Analysis in XM DData analysis is an integral piece of the XM platform that enables Qualtrics customers to discover the deepest and most relevant insights from their experience (X) and ope...
By Jay Han
AngularJS: Performance Optimization with One-time Bindings
If you’ve ever developed a complex single page application using AngularJS (1.x.x), you will have undoubtedly struggled with laggy UI updates. AngularJS’s two-way binding, while it certainly elimi...
By Corinna Kuhn
Correspondence Analysis: What is it, and how can I use it to measure my Brand? (Part 2 of 2)
In our previous post , Correspondence Analysis: What is it, and how can I use it to measure my brand? (Part 1 of 2), we discussed the uses and benefits of correspondence analysis, and walked through t...
By Jeffrey Hao
Correspondence Analysis: What is it, and how can I use it to measure my Brand? (Part 1 of 2)
Correspondence analysis reveals the relative relationships between and within two groups of variables, based on data given in a contingency table. For brand perceptions, these two groups are brands an...
By Jeffrey Hao
Intern Project: Creating a Global Search using Solr
The Internal Systems team at Qualtrics wants to provide our clients, fellow employees, with an easy way to search through data. This data is in many different formats and has various use cases. Fo...
By Ivan Zaitsev
Building a Customizable Platform for Sentiment Analysis
Overview On May 12th we launched a brand new Sentiment Analysis tool to the world as part of the Qualtrics Experience Management Platform. We know Sentiment is important for understanding unstructure...
By Martin Mumford
DataTables, AngularJS, and Django
Qualtrics production system is comprised of many micro-services. Visualizing the network connections among them can be a daunting task, so I decided to write an internal tool to help myself with it. W...
By Steve Jang
Teaching Machines to Read Emails: Feature Selection
In my previous post, I laid out the design for the ticket topic prediction model used at Qualtrics. This system sorts incoming support emails into different topics which are then used to route emails ...
By Zach McDonnell
