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Turn your highest-volume support channel into your richest source of product insight.

We've built this for
Product Managers, Customer Success, UX Researchers, Management
Quit anytime. Keep your data.

Zendesk is often where the most feedback lives β€” and where the most feedback dies. Your agents resolve tickets, tag them, close them, and move on. Meanwhile, the product team is in a different tool entirely, making decisions based on gut feel and whoever spoke up loudest in the last meeting. Pilea connects to Zendesk and pulls in your tickets automatically β€” full conversation threads, not just subject lines. Every piece of feedback gets structured, tagged, and connected to the customer behind it, including their revenue. So instead of "a lot of people are asking about exports," you get "34 customers representing 120K ARR mentioned export issues this month." Your support team keeps working in Zendesk like they always have. But now, all that signal they're hearing every day actually makes it to the people building the product.

What you get.

  • Support tickets with full threads β€” the complete conversation, not just a summary someone wrote in a rush
  • Customer records β€” company, plan, and revenue data so every ticket has business context
  • Tags and custom fields β€” your existing Zendesk organization carries over
  • Historical data β€” choose how far back to sync, so you're not starting from zero

Pilea then does the heavy lifting:

  • Clusters similar feedback automatically β€” "22 customers hit the same API timeout issue this week"
  • Links feedback to your backlog β€” see which open items have the most customer evidence behind them
  • Tracks sentiment shifts β€” catch problems before they become churn conversations
  • Attributes everything to real customers and real revenue β€” so you can prioritize by business impact, not volume alone

Do more with Agents.

  • "Alert when tickets mentioning 'export' spike this week" β€” catch emerging issues before they snowball into a crisis
  • "Weekly breakdown of top ticket themes by customer segment" β€” see what enterprise customers are struggling with vs. what SMBs are asking for
  • "Notify when a high-MRR customer submits 3+ tickets in a week" β€” a simple churn early-warning system that runs itself
  • "Flag any ticket where a customer mentions switching to a competitor" β€” stay on top of competitive risk without reading every ticket

The agents run in the background, so the signal finds you β€” you don't have to go digging through tickets.