Monterey AI aggregates, triages, and analyzes user feedback, across support tickets, sale calls, and interviews. It delivers deep, realtime, and iterative insights at your fingertips. Spot the needs, conduct surveys, and close feedback loop, insanely fast.
This is the 2nd launch from Monterey AI. View more
Monterey AI 2.0
Copilot for product insights
Monterey AI aggregates, triages, and analyzes user feedback, across support tickets, sale calls, and interviews. It delivers deep, realtime, and iterative insights at your fingertips. Spot the needs, conduct surveys, and close feedback loop, insanely fast.
🐳 Chun here from monterey.ai! We are super excited to share Monterey AI 2.0 with ProductHunt community!
Monterey AI is Copilot for Product Insights - it helps voices of customers leads, product managers, and customer success teams aggregate, triage, and analyze user feedback, from a variety of sources like support tickets, sales transcripts, surveys, and social media mentions.
Our goal is to deliver the personalized, scalable, and accessible product insights at the fingertips of every builder. So you can deliver faster, and grow customer intuition organization wide.
So with all of that said, I am excited to announce the all new Monterey AI 2.0 🎉
➡️ Natively integrated with all feedback and workflow sources: Zendesk, Front, Intercom, Salesforce, ServiceCloud, Github, Linear, Jira, Asana, and so much more.
➡️ Fastest platform for processing large quantity of unstructured qualitative data
➡️ Most intuitive platform for getting voices of customers report and analysis results, including charts, from plain English queries
➡️ AI Native Survey for you to embed anywhere and launch survey in minutes
❤️ Check us out www.monterey.ai, give us feedback, and book a demo with me today! www.cal.com/chunonline
Congrats @chunonline & team! This is amazing & looks incredibly helpful! Will definitely give this a shot..
I'm curious what challenges did you face building the chatbot in Monterey - did you have to spend a lot of time optimizing the RAG for accuracy & reliability?
@chunonline@imaravind Absolutely -- RAG performance is important, but only alongside several other layers of query interpretation and understanding that go into it!
@chunonline@benkramer Would love to unpack that more when you have some time to elaborate. Learnings from your journey will be hugely helpful for the rest of the PH community.
This is super useful for indie hackers and entrepreneurs who are stuck with efficiency issues. A timely product insight at your hand can be more valuable than you ever imagined
Monterey AI has been a game-changer for my globally distributed startup. Its exceptional intelligence and user-friendly interface have allowed me to identify customer needs, prioritize features, and effectively collaborate with our engineering and marketing teams. Compared to ProductBoard, Monterey is more flexible and efficient, saving us significant time.
Furthermore, the Monterey team's responsiveness and expertise have been outstanding. When I reported a bug at 9PM, they promptly fixed it by 12AM, demonstrating their battle-tested capabilities. Working with such a dedicated and entrepreneurial team is truly inspiring, and I look forward to growing together.
I highly recommend Monterey AI to anyone seeking a next-generation product management solution that can boost team productivity and streamline company operations.
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