Collectif is an AI user research platform for SaaS that automates your research and feedback analysis. Discover insights buried in support tickets, feedback forms, sales calls, and more — in minutes, not days.

What types of data does Collectif analyze? - support tickets, - feedback, - interviews, - sales calls, - reviews, - deal reasons, - churns reasons.

How does it work? Connect the tools used across your company or upload interviews Get automatic transcripts, topic & sentiment labels, summaries, and insights generated by GPT-4 Quickly discover issues and opportunities, or even easier — 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).

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 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 feedback from lost deals to influence product direction.