This tutorial is all about getting your hands dirty 👨🎨: We’ll take you through every step required to evaluate your open texts with the help of AI. If you follow the 3 required steps described in the guide below in all detail, it will take you approximately 45 minutes to get to achieve these results.
W.
What can State-of-the-Art Sentiment Analysis provide?
How can sentiment analysis give you an accurate, detailed insight into your customer feedback?
O.
Open-End Text Analysis: How to measure quality & compare AIs?
When it comes to open-ended text analysis, you need a partner that helps you save time and money. You need artificial intelligence.
G.
Getting to Fully Automated Tracker Evaluation
Automated trackers help you gain valuable insights into KPI’s, open-ended feedback, and more. In this article, we take a look at how to use this powerful strategy.
H.
How to Design a Meaningful Codebook
Wondering how to create a meaningful codebook that will generate actionable results for your business? Here’s how in 6 steps.
C.
Coop Case Study: Getting Actionable Insight From Mass Feedback Analysis
Retailers have the challenge of analyzing mass amounts of customer feedback. Learn how Swiss retailer Coop completed this effectively and efficiently.
H.
How to Follow Up on Customer Feedback
Following up on customer feedback is a critical part of getting the most out of your NPS process. Here’s how to close the loop.
C.
Customer Surveys: Open-Ended vs. Multiple-Choice Questions
In this article, we’ll take a look at the advantages and disadvantages of using both open-ended and multiple-choice questions.
A.
A Definitive Guide to Augmented Intelligence
Augmented intelligence–rather than pure artificial intelligence–is key to the future of the workplace. Learn more here.
1.
10 Customer Feedback Categories to Help Give You Valuable New Insight
Open-ended feedback is useful, but can be tricky to analyze. Simplify the task by creating strategic customer feedback categories to sort, understand, and utilize feedback.