Looking for an alternative to Qualtrics' TextIQ? Here’s why analysts and insights managers prefer Thematic for in-depth analysis and insights you can act on:
TextIQ provides a surface-level understanding of feedback through simple text analysis. It's an okay starting point, but deeper insights are often missed. And you have to manually set up any new topics that aren't covered by its industry specific pre-defined models. These limitations mean that TextIQ can't satisfy advanced analysis needs.
Thematic's powerful AI-driven software uses a unique bottom-up approach to discover all themes in text, and creates a taxonomy custom to your data. You can easily adjust it to make it more relevant. When new themes are discovered, Thematic alerts you, so you can review and decide whether to add them to your taxonomy. This means we provide meaningful and actionable answers to your questions - fast.
TextIQ lacks customization options that Thematic offers, and many users find its pre-defined topics miss the mark when it comes to understanding their feedback. If important issues are being overlooked, results are hard to trust - not what you want when analyzing data!
Thematic is the only solution that works with you to produce transparent and trusted results. It's incredibly easy to trace Thematic's AI-powered themes and summaries back to the source, so you can defend your data and methodology every time. This means your team can trust the insights Thematic delivers.
TextIQ primarily functions with Qualtrics dashboards, making it less compatible with other platforms, such as PowerBI or Tableau. It offers word clouds as a primary means of visualization, which look pretty, but don't deliver the clarity your team needs to make impactful decisions.
Thematic can be easily plugged into your existing analytics workflows, and you can pipe analyzed data to PowerBI or Tableau. Several one-click integrations are available, including one for Qualtrics surveys! Thematic's native reporting tools include dynamic waterfall and impact charts, to help you understand and share insights in a clear and concise manner. With Thematic, you won't struggle with confusing word clouds or challenging visualizations.
Key strength
How it arrives at themes
Speed
Consistency
Transparency
Ease of getting answers
(combines proprietary AI with LLMs)
Key strength
Discovers & quantifies what matters in minutes with readable summaries
How it arrives at themes
Discovers themes in data and adapts to new feedback
Speed
It takes 30 min to several hours to review themes
Consistency
Analyzes all feedback consistently
Transparency
White box, can trace themes to context
Ease of getting answers
Alerts you to new themes and delivers instant, readable and verifiable anwers
(like Medallia, Qualtrics Text IQ and XM Discover)
Key strength
Works well for industries with little changes in feedback, e.g. hotels
How it arrives at themes
Users create rules or professional services adjust pre-existing taxonomies
Speed
It takes weeks to months to create new rules or to re-configure a pre-canned taxonomy
Consistency
Analyzes all feedback consistently
Transparency
White box, can trace topic to rules
Ease of getting answers
Good at quantifying known and well-defined rules, struggles with complex language and unknowns
(and wrappers, like Viable, Interpret, Kraftful)
Key strength
Creates readable summaries of feedback, understands nuance
How it arrives at themes
Discovers theme in batches of data
Speed
Instant sample analysis
Consistency
Consistency is difficult to achieve because model guesses each time
Transparency
Black box, requires prompt engineering to trace
Ease of getting answers
Delivers instant readable answers that are difficult to verify
(like Chattermill, Medallia Athena)
Key strength
Scalable and accurate when using a limited set of categories it’s trained on
How it arrives at themes
Users or professional services curate examples (training data) for each category
Speed
It takes weeks to months to curate data
Consistency
Analyzes all feedback consistently
Transparency
Black box, difficult to adjust a model that’s inaccurate
Ease of getting answers
Good at quantifying known and well-defined rules, but will miss any emerging themes.
(like Medallia, Qualtrics Text IQ and XM Discover)
Key strength
Works well for industries with little changes in feedback, e.g. hotels
How it arrives at themes
Users create rules or professional services adjust pre-existing taxonomies
Speed
It takes weeks to months to create new rules or to re-configure a pre-canned taxonomy
Consistency
Analyzes all feedback consistently
Transparency
White box, can trace topic to rules
Ease of getting answers
Good at quantifying known and well-defined rules, struggles with complex language and unknowns
(and wrappers, like Viable, Interpret, Kraftful)
Key strength
Creates readable summaries of feedback, understands nuance
How it arrives at themes
Discovers theme in batches of data
Speed
Instant sample analysis
Consistency
Consistency is difficult to achieve because model guesses each time
Transparency
Black box, requires prompt engineering to trace
Ease of getting answers
Delivers instant readable answers that are difficult to verify
(like Chattermill, Medallia Athena)
Key strength
Scalable and accurate when using a limited set of categories it’s trained on
How it arrives at themes
Users or professional services curate examples (training data) for each category
Speed
It takes weeks to months to curate data
Consistency
Analyzes all feedback consistently
Transparency
Black box, difficult to adjust a model that’s inaccurate
Ease of getting answers
Good at quantifying known and well-defined rules, but will miss any emerging themes.
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