Using Thematic
Read articles on how to get the most out of Thematic AI software and customer feedback data. Learn from customer stories, product examples and tips.
How accurate is Thematic at analyzing customer feedback? Paid Members Public
In discussions with potential customers, we often hear the question, "How accurate is Thematic? This usually comes up for two reasons: “I’ve been doing the analysis myself. I don’t want to compromise the accuracy when handing this task over to an automated solution.” “I realize that doing things
How we moved our startup from New Zealand to Silicon Valley Paid Members Public
Facebook reminded me that it’s been exactly 1 year since we (Nathan and I) moved from New Zealand to San Francisco! It’s the third time that we are coming to California to live for an extended period of time, but the first time for more than 3 months
Vodafone: transforming customer experience with Thematic insights Paid Members Public
Vodafone New Zealand has measured Touchpoint Net Promoter Score (TNPS) for many years. Three years ago, Vodafone Group migrated to an established Voice-of-the-Customer platform and Vodafone New Zealand was a key pilot market. In 2018 the company set an ambitious goal to significantly increase Touchpoint NPS across all customer-facing teams.
Thematic Analysis for Feedback: The Secret Weapon Most Companies Miss (Part 5/5) Paid Members Public
Discover Thematic Analysis, the ONLY text analysis approach that's accurate, fast, and transparent. Learn how it outperforms other methods and uncovers hidden insights in your feedback.
Topic Modeling for Text Analysis: The Hype vs. Reality (Part 4/5) Paid Members Public
This is the 4th article in my series of Text Analytics posts explaining popular approaches to feedback analysis. Last week, we talked about text categorization, a Machine Learning approach that requires training data. We concluded that it can’t detect emerging themes in people’s feedback and that it’s
Text Categorization Demystified: Does It Really Deliver on Advanced Analytics? (Part 3/5) Paid Members Public
Explore text categorization for analyzing feedback: its machine learning power, the crucial role of training data, and the four key challenges it faces in real-world applications.
Manual Rules for Text Analytics: Why They Often Miss the Mark (Part 2/5) Paid Members Public
Manual rules are a popular text analytics approach, but they have significant flaws. Discover why they struggle with multiple meanings, sentiment, and evolving language.
Word Spotting for Text Analytics: Quick & Dirty (But When Does It Fail?) (Part 1/5) Paid Members Public
Is 'word spotting' a valid text analytics method? Learn its pros, cons, and when it's actually useful (hint: rarely for serious insights). Discover better alternatives.
