Monterey AI
Open siteIntroduction
Monterey AI is an AI-powered tool for analyzing and monitoring qualitative data.
Monterey AI Product Information
Monterey AI - Copilot for Product Insights is an AI-powered product analytics tool that embeds into your existing workflow to help product teams (PM, Eng, Design) aggregate, analyze, and act on customer feedback. It surfaces actionable insights from calls, emails, chats, and other data sources in real time, enabling faster prioritization and backlog grooming. The platform emphasizes ease of collaboration across Slack, email, and other channels, with strong emphasis on unifying disparate feedback into a coherent product strategy. Monterey AI has been deployed across a spectrum of companies from seed-stage startups to Fortune 20 enterprises and is backed by Y Combinator.
How Monterey AI Works
- Collects and analyzes customer feedback from multiple channels (calls, emails, chat, support tickets, forms, etc.).
- Applies AI-powered analytics to distill root causes and main themes driving customer unrest or satisfaction.
- Delivers real-time insights to the right team, integrated into your existing tools (Slack, email, Linear, Jira, Asana, etc.).
- Helps track issues, feature requests, questions, and bugs with auto-triage and prioritization.
- Supports multi-language environments and scalable enterprise-grade deployments with security and governance controls.
Use Cases
- Rapidly distill noisy feedback into actionable themes and priorities.
- Track and triage customer issues, requests, and questions across channels.
- Align cross-functional teams around the most impactful product improvements.
- Integrate feedback insights directly into project management and collaboration tools.
How to Use Monterey AI
- Connect your data sources (calls, email, chat, tickets, etc.).
- Choose your collaboration channels (Slack, email, etc.).
- Review distilled insights, top themes, and emerging patterns.
- Auto-route issues to the appropriate stakeholder or tool (Linear, Jira, Asana).
- Act on insights by prioritizing backlog items and communicating decisions across teams.
Key Metrics and Outcomes
- 40 Hours per month per user productivity gains reported by users.
- 65% cost savings with automatic routing.
- 70% faster solving of inbound data requests.
- Supports 85+ languages and locales.
Safety and Privacy Considerations
- Distills insights from user data without exposing sensitive content beyond the summarized themes.
- Enterprises can apply SOC II Type II and privacy controls with configurable data handling.
Core Features
- AI-powered product insights from multi-channel feedback
- Auto-triage and prioritization of issues, feature requests, questions, and bugs
- Real-time insights delivered to Slack, email, and preferred collaboration tools
- Direct integration with Linear, Jira, Asana for ticket management
- Enterprise-grade security, compliance, and language support
- Scalable deployment across startups to Fortune 20 companies