About Tool

Trill AI simplifies user research by transforming raw interview data into structured, actionable insights. Its AI detects recurring themes, categorizes feedback, and reduces the time spent on manual analysis. The platform features a Notion-like editor for organizing findings and supports collaboration, making it easier for teams to share insights. Currently in public beta, Trill AI is accessible for free, helping teams make data-driven decisions faster.

Key Features

• AI-powered extraction of key insights from interviews
• Automatic theme detection and feedback categorization
• Notion-like editor for organizing and sharing findings
• Accelerated transition from raw data to actionable insights
• Collaboration tools for team sharing and stakeholder communication

Pros:

• Saves significant time in research data analysis
• Improves consistency and accuracy in insight categorization
• Easy to share and collaborate on findings
• Enhances efficiency of the research process

Cons:

• Beta version may include occasional bugs or limited features
• Learning curve for users new to AI research tools
• Limited customization for presenting findings

Who is Using?

UX researchers, product teams, and organizations looking to streamline user research and generate actionable insights from interviews.

Pricing

• Free Plan: Full access during public beta

What Makes It Unique?

Trill AI stands out by automating insight extraction and feedback categorization, allowing teams to focus on analysis and decision-making instead of manual data processing.

How We Rated It:

• Ease of Use: ⭐⭐⭐⭐☆ (4.5/5)
• Features: ⭐⭐⭐⭐☆ (4/5)
• Value for Money: ⭐⭐⭐⭐⭐ (5/5)

Trill AI is a powerful tool for teams seeking faster and more efficient user research. Its automation and collaborative features help turn raw interview data into actionable insights. Overall, it’s ideal for teams aiming to improve research accuracy and productivity.