Product teams today face an impossible challenge: AI is accelerating work cycles, forcing faster decisions while customer expectations evolve by the hour. Yet the critical feedback needed to guide these decisions remains trapped across 5+ disconnected tools — creating what we call the Feedback Fragmentation Tax.
This tax doesn't just waste time. It actively damages product outcomes:
Engineers build features nobody wants because real feedback never reaches them
Product decisions become political battles instead of data-driven choices
Customer insights decay into "insight graveyards" — decks and docs nobody reads
Three months ago, we launched Insight Analytics to solve this problem. Today, our most used feature, AI Chat, is evolving from Q&A tool into a strategic thought partner. With deeper reasoning, planning and iteration capabilities to help you get instant answers to complex questions and explore, segment, compare, and visualize feedback all in one chat.
👇 See A Video Of The New Chat 👇
https://www.loom.com/embed/b6be2a54a06045d68a142f68cf6c3c8c?sid=2db784bc-273c-44b4-9d73-371d5dfa1599
While ChatGPT, Claude, etc can help with basic feedback analysis, teams quickly hit limitations:
Context windows can't handle feedback volumes of meaningful scale
Manually uploading/cleaning/joining multiple data sources can consume more time than the insights save
Hallucinations and accuracy issues undermine trustworthiness
Two years ago Monterey.ai (now Reforge Insight Analytics) was the first to introduce a chat experience to solve all of these issues. It empowered teams to get fast, accurate, evidenced based answers to questions about their customers.
Today, Reforge Insight Analytic's new Agentic Chat goes beyond traditional generative AI by integrating autonomy, goal-directed reasoning, and adaptive decision-making. Unlike standard generative models that passively respond to questions, the Agentic Chat actively plans, iterates, and collaborates with you functioning as the strategic thought partner your team has always needed.
Get Instant Answers To Multi-Dimensional Questions
Being able to combine “what users say” with “what they do” and “what might be the impact” used to take forever. It would require manually joining multiple qualitative and quantitative data sets to get at the answer. Agentic Chat doesn't just find feedback — it connects qualitative signals with quantitative impact in seconds. Some examples:
Compare feedback across cohorts: “How do power users vs. new users talk about onboarding?”
Quantify qualitative pain: “Which frustrations impact churn the most in Q1 enterprise accounts?”
Customer segments: What feature requests from $100K+ ARR customers have increased this quarter?”
Explore, Segment, Compare, and Visualize All In One Conversation
Complex questions rarely have a single answer. It’s a journey with twists and turns. Instead of context-switching between tools, Agentic Chat maintains the thread across your entire exploration:
Explore: Start as wide or narrow as you’d like.
“Show me everything customers mention about onboarding friction”
“Surface any outlier complaints in the last 30 days.”
Segment: Segment feedback based on user attributes, time periods, personas, etc.
“Segment the feedback by customers <$100K ARR and above $100K ARR”
“Identify and segment by personas.”
Compare: Compare and contrast across time periods, segments, and more.
“Compare the Admin persona to the End User persona and identify what’s similar and what is different.”
“How is the feedback from Admins different this quarter vs last quarter?”
Visualize: Chart and visualize the feedback data.
“Focus only on visualizing the sentiment enterprise accounts in EMEA.”
“Build a comparison chart that summarizes key takeaways and differences across segments.”
Without Insight Analytics, this could take 40+ hours of manual work just around one area. It’s such high friction, that often teams find it too costly to do and end up taking a lot of guesses. But now this can now be done in minutes.
Your Company Context is Built In, No More Explaining the Basics
Unlike generic AI tools that treat each question as new, Agentic Chat maintains awareness of things like your:
Product vocabulary and feature names
Customer segments and business metrics
Whether you’re exploring a specific feature, a recent release, or a segment of users, the system holds onto the thread, so you can keep thinking forward.
Start broad: “What are customers saying about the new Live Courses?”
Drill down: “What about the Live Courses that contradict Reforge’s brand?”
Branch off: “Did users compare the Live Courses with other competitor brands?”
This eliminates the constant re-explaining that makes other tools frustratingly inefficient. You can follow your curiosity wherever it leads, without losing context.
Ship The Work: Draft the Artifacts You Need
Your data is only as useful as what you take action on. The new Insight Analytics chat allows you to instantly draft key artifacts based on your customer feedback like:
Summary Report: “Generate a feedback summary report for the month of March for the Search functionality.”
Evidence Backed PRD’s: “Draft a PRD for improving our search functionality with supporting customer evidence”
Developer-ready user stories: “Generate user stories from this enterprise feedback”
See It In Action With Your Data
No a customer yet? Book some time to see Agentic Chat with your real data. Stop paying the Feedback Fragmentation Tax. Start building what your customers actually want.
Product teams today face an impossible challenge: AI is accelerating work cycles, forcing faster decisions while customer expectations evolve by the hour. Yet the critical feedback needed to guide these decisions remains trapped across 5+ disconnected tools — creating what we call the Feedback Fragmentation Tax.
This tax doesn't just waste time. It actively damages product outcomes:
Engineers build features nobody wants because real feedback never reaches them
Product decisions become political battles instead of data-driven choices
Customer insights decay into "insight graveyards" — decks and docs nobody reads
Three months ago, we launched Insight Analytics to solve this problem. Today, our most used feature, AI Chat, is evolving from Q&A tool into a strategic thought partner. With deeper reasoning, planning and iteration capabilities to help you get instant answers to complex questions and explore, segment, compare, and visualize feedback all in one chat.
👇 See A Video Of The New Chat 👇
https://www.loom.com/embed/b6be2a54a06045d68a142f68cf6c3c8c?sid=2db784bc-273c-44b4-9d73-371d5dfa1599
While ChatGPT, Claude, etc can help with basic feedback analysis, teams quickly hit limitations:
Context windows can't handle feedback volumes of meaningful scale
Manually uploading/cleaning/joining multiple data sources can consume more time than the insights save
Hallucinations and accuracy issues undermine trustworthiness
Two years ago Monterey.ai (now Reforge Insight Analytics) was the first to introduce a chat experience to solve all of these issues. It empowered teams to get fast, accurate, evidenced based answers to questions about their customers.
Today, Reforge Insight Analytic's new Agentic Chat goes beyond traditional generative AI by integrating autonomy, goal-directed reasoning, and adaptive decision-making. Unlike standard generative models that passively respond to questions, the Agentic Chat actively plans, iterates, and collaborates with you functioning as the strategic thought partner your team has always needed.
Get Instant Answers To Multi-Dimensional Questions
Being able to combine “what users say” with “what they do” and “what might be the impact” used to take forever. It would require manually joining multiple qualitative and quantitative data sets to get at the answer. Agentic Chat doesn't just find feedback — it connects qualitative signals with quantitative impact in seconds. Some examples:
Compare feedback across cohorts: “How do power users vs. new users talk about onboarding?”
Quantify qualitative pain: “Which frustrations impact churn the most in Q1 enterprise accounts?”
Customer segments: What feature requests from $100K+ ARR customers have increased this quarter?”
Explore, Segment, Compare, and Visualize All In One Conversation
Complex questions rarely have a single answer. It’s a journey with twists and turns. Instead of context-switching between tools, Agentic Chat maintains the thread across your entire exploration:
Explore: Start as wide or narrow as you’d like.
“Show me everything customers mention about onboarding friction”
“Surface any outlier complaints in the last 30 days.”
Segment: Segment feedback based on user attributes, time periods, personas, etc.
“Segment the feedback by customers <$100K ARR and above $100K ARR”
“Identify and segment by personas.”
Compare: Compare and contrast across time periods, segments, and more.
“Compare the Admin persona to the End User persona and identify what’s similar and what is different.”
“How is the feedback from Admins different this quarter vs last quarter?”
Visualize: Chart and visualize the feedback data.
“Focus only on visualizing the sentiment enterprise accounts in EMEA.”
“Build a comparison chart that summarizes key takeaways and differences across segments.”
Without Insight Analytics, this could take 40+ hours of manual work just around one area. It’s such high friction, that often teams find it too costly to do and end up taking a lot of guesses. But now this can now be done in minutes.
Your Company Context is Built In, No More Explaining the Basics
Unlike generic AI tools that treat each question as new, Agentic Chat maintains awareness of things like your:
Product vocabulary and feature names
Customer segments and business metrics
Whether you’re exploring a specific feature, a recent release, or a segment of users, the system holds onto the thread, so you can keep thinking forward.
Start broad: “What are customers saying about the new Live Courses?”
Drill down: “What about the Live Courses that contradict Reforge’s brand?”
Branch off: “Did users compare the Live Courses with other competitor brands?”
This eliminates the constant re-explaining that makes other tools frustratingly inefficient. You can follow your curiosity wherever it leads, without losing context.
Ship The Work: Draft the Artifacts You Need
Your data is only as useful as what you take action on. The new Insight Analytics chat allows you to instantly draft key artifacts based on your customer feedback like:
Summary Report: “Generate a feedback summary report for the month of March for the Search functionality.”
Evidence Backed PRD’s: “Draft a PRD for improving our search functionality with supporting customer evidence”
Developer-ready user stories: “Generate user stories from this enterprise feedback”
See It In Action With Your Data
No a customer yet? Book some time to see Agentic Chat with your real data. Stop paying the Feedback Fragmentation Tax. Start building what your customers actually want.