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What types of data does Collectif analyze?
- Support Tickets.
- Feedback
- Interviews
- Sales Calls
- Reviews
- Deal Reasons
- Churns Reasons
How does Collectif work?
- Connect the tools used across your company or upload interviews.
- Get automatic transcripts, topic and sentiment labels, summaries, and insights generated by GPT-4.
- Quickly discover issues and opportunities, or even more leisurely — ask your data questions!
How are insights generated?
- Each piece of data is analyzed and turned into Highlights (synthesis of information).
- Highlights are assigned to pre-defined Topics, like specific features or more universal things like Pricing or Customer Support.
- Once a week, Collectif analyzes highlights, identifying Insights (recurring themes).
Collectif Use Cases:
- Prioritize bug fixes based on frequency in support tickets.
- Speed up interview analysis with transcriptions, summaries, and auto-tagging.
- Identify usability issues mentioned in support tickets and feedback forms.
- Review sales call summaries to pinpoint product-related objections.
- Gain deeper insight into new users challenges thanks to sales call analysis.
- Organize your research and share it with other teams with ease.
- Identify gaps in your customer education program and help users solve their problems.
- Assess the general experience using sentiment from reviews and feedback forms.
- Define messaging and information hierarchy based on topic frequency.
- Find feature-specific feedback and research in a few clicks.
- Use input from lost deals to influence product direction.
