All Articles
Releases

Introducing Product Intelligence

AI that transforms scattered feature requests into business insights that drive the product roadmap.

Advith Chelikani
November 12, 2025

Turn your customer feedback into a product strategy.

You keep hearing the same feature request from customers over and over. But when it’s time to convince the product team to build it, you always run out of time trying to track down the evidence.

That’s why today, we’re launching Product Intelligence. Our AI automatically analyzes and clusters feature requests across all your customer conversations, so you can instantly turn customer feedback into a product strategy.

How It Works

All the evidence you need already lives in Pylon. Your customers ask for new features across support tickets, Slack messages, emails, recorded calls, and more.

The problem is taking things back to your product team. It takes hours of hunting through tickets, compiling links, and switching between tools to build a case for one product change:

  • Every customer who requested the feature
  • Each time they mentioned it
  • Why it matters to customers
  • How much revenue it impacts

Now, Product Intelligence automatically gathers, summarizes, and groups that data from customer conversations right in Pylon. Instead of doing ticket collection, you can collaborate with product to build what customers actually want.

And when the feature gets shipped, we help you close the loop by automatically notifying every customer who requested it.

The Complete Loop

We’ve built an agentic workflow to take you from identifying feature requests → clustering customer feedback → reporting impact → notifying your customers:

  1. Smart Clustering: AI automatically groups similar customer feedback into a trackable feature request. Filter requests by any custom field to understand which accounts they affect.
  2. Evidence Collection: See AI summaries, conversation snippets, and lists of everyone who asked for the feature, what they want, and when they mentioned it. Click into individual customer interactions to see the details.
  3. Impact Tracking: Sort feature requests by ARR or number of mentions to instantly quantify business impact.
  4. Project Management Integrations: Directly create a product ticket in Linear or Jira with all the evidence already attached. Next time a customer mentions the feature, it automatically gets clustered and added into the existing ticket.
  5. Broadcasts: Once the feature ships, automatically draft a broadcast to notify every customer who asked for it at scale.

Use Cases

Together, these tools help you champion product changes that actually align with what customers are saying. Here’s how Product Intelligence could work for your team:

  • Prioritize high-value requests: Prove that features impact your highest value accounts by filtering for a specific customer segment or tier. If selling to enterprise is your largest growth opportunity, you can see exactly which product changes matter to that market.
  • Map requests directly to revenue: Show your product team the actual monetary impact of each feature request, so together you can focus on your biggest levers.
  • Sync customer feedback to product roadmap: Create a single product ticket for a high-frequency request, and AI will continuously add new evidence in from Pylon. Your product team doesn’t end up with duplicate tickets and you keep strengthening your case.

Building the All-in-One Support Platform

Product Intelligence is our next step in building the unified platform for your post-sales team.

Pylon is already where customer interactions become actionable account insights for support and customer success teams. Now, it's also where teams bridge the gap between feature requests and business insights that drive the product roadmap.

If you’re ready to turn your customer feedback into a product strategy, book a demo to get started with Pylon.

Explore more

Industry

Top customer feedback tools for support teams

Pylon Team
February 16, 2026
Reports

Turn Support Noise into Roadmap Signal: Insights from Our Product Launch Webinar

Cassie Carter
November 25, 2025
Industry

AI Ticket Deflection: How to Reduce Your Team’s Support Volume by 60%

Pylon Team
November 21, 2025
Industry

15 ways AI is reshaping customer experience in 2026

Pylon Team
February 6, 2026
Industry

Best support software in 2026: Why B2B teams choose Pylon

Pylon Team
December 25, 2025
Industry

Guide to modern support tools: Top picks for enterprise teams

Pylon Team
January 15, 2026
Industry

From Support Tickets to Success Signals: Building Workflows That Drive Retention

Pylon Team
November 7, 2025
Industry

AI Support Systems Explained: Features, Benefits, and Best Practices

Pylon Team
December 4, 2025
Releases

Product Launch: Conversational Ticketing

Advith Chelikani
December 3, 2023

Explore more

Guides

Building A Personalized Customer Experience for Stronger Relationships

Dan Guo
December 8, 2025
Blog post
Industry

Building the Best B2B Knowledge Base: The 2025 Guide to AI-Powered Self-Service

Pylon Team
November 13, 2025
Blog post
Team

Mana Anvar, Founding Account Executive

Marty Kausas
January 13, 2025
Blog post
Industry

18 Best Customer Support Tools for Business in 2025 (Free & Paid Options)

Pylon Team
October 22, 2025
Blog post
Team

Mei Mei, Operations Manager

Marty Kausas
July 15, 2024
Blog post
Industry

Slack & Microsoft Teams Integration: A Breakdown of Options

Dan Guo
May 8, 2025
Blog post
Guides

Your guide to modern customer support tools and software

Dan Guo
February 4, 2026
Blog post
Spotlights

Spotlight: Emre Tekoglu @ Zywave

Marty Kausas
December 3, 2024
Blog post
Industry

B2B Customer Health Score: Metrics and Best Practices

Dan Guo
December 15, 2025
Blog post