We’re excited to introduce a powerful enhancement to Zonka AI Feedback Intelligence — Manual Theme & Subtheme Configuration.
Until now, when creating a project for AI thematic analysis, the system automatically generated themes and subthemes using AI based on the responses provided. While this automated approach worked well for discovering patterns, many teams wanted greater control over how feedback is categorized.
With this new update, you can now define your own themes and subthemes before running the AI process, giving you the flexibility to analyze feedback exactly the way your team needs.
What’s New?
🧠 Manual Theme & Subtheme Setup
You can now provide a predefined list of themes and subthemes with definitions while creating your thematic analysis project. These themes act as the framework for the AI model to classify responses.
Instead of generating themes automatically, the AI will now analyze and match responses against the themes and subthemes you define.
🔍 AI-Powered Matching with Your Framework
Once the themes and subthemes are configured, you can run the AI processing step, where the AI reviews survey responses and intelligently maps them to the most relevant themes and subthemes.
Why This Matters
While automatic AI theme generation is great for discovery, many organizations already have structured frameworks for analyzing feedback, such as product areas, service categories, or operational themes.
With Manual AI Thematic Analysis, you can:
- Maintain consistent categorization across projects
- Align analysis with existing business frameworks
- Improve the accuracy and relevance of insights
- Gain faster AI-driven tagging without losing control
Key Use Cases
📊 Product Feedback Analysis
Define themes like UI, Performance, Pricing, Feature Requests, and let AI classify feedback accordingly.
💬 Customer Support Insights
Create subthemes such as Response Time, Agent Behavior, Resolution Quality, and quickly analyze large volumes of responses.
🏢 Voice of Customer (VoC) Programs
Maintain standardized themes across departments for consistent reporting and trend analysis.
📈 Enterprise Feedback Analytics
Use predefined taxonomies to analyze feedback across multiple surveys and customer touchpoints.
Who Is This For?
This feature is especially valuable for:
- Customer Experience (CX) Teams analyzing open-ended feedback
- Product Teams organizing feature feedback and improvement areas
- Research & Insights Teams conducting qualitative analysis
- Enterprise organizations that require structured feedback frameworks