B2CProduct agent for product and engineering leads

Churn-Risk Bug Watch

Fix the bugs hitting the customers you can't afford to lose.

This agent reads every conversation for bugs, from support tickets and bot chats to phone calls and app reviews, and checks each one against your customer, plan and billing data. It gives product and engineering the visibility into what bugs are pushing customers to cancel, ranked by severity and how many people they affect, with quotes as supporting evidence.

Paste in your AI agent

Copy this line into ChatGPT, Claude, Gemini or your coding agent. It takes it from there.

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The problem

The bug in your backlog is about to cost you a customer.

57%

of people would consider switching after 3–4 bad experiences with a company's software, site or app.

27% won't put up with more than one or two.

Source: Sauce Labs survey of 500 US consumers (June 2024)
How it works

The bugs that matter, ranked by revenue impact

Three steps. It reads every conversation for bugs, matches each one to the customers it's affecting, and sends product and engineering a ranked list every week.

Ingest

Bugs customers raise in tickets, chats and calls, next to the revenue they touch

Help desk
Bot chats
Anything else
Rippit

Analyze

Bugs ranked by the customers they’re costing you

One row per bugAgent adding fields…
BugChurn riskWhy
Promo codes fail at checkoutCustomers cancel instead of retrying
Login loop on AndroidLocks out paying customers
Can't edit an orderSupport can fix it by hand
9 high-risk bugs · 640 asked to cancel

Act

Engineering fixes what’s at stake first

Weekly bug listProduct and engineering, by email

9 high-risk bugs behind 640 cancel requests, each with repro steps and conversations.

List sent
Team alertsAccount owners, in Slack

Support lead alerted to the promo code errors driving cancel requests.

Alerts sent
+ Any connected MCP

Open a Linear issue for each high-risk bug with the evidence attached, or a Jira ticket through a custom MCP connection.

See MCP connections →
FAQ

Questions

What sources can it use?

Help desk tickets and chats, your AI agent’s conversations, sales and CS calls and internal Slack through Rippit’s integrations. CRM, usage and billing come through your warehouse, the Ingest API or a CSV. See integrations →

How does it know it's a bug?

It reads each conversation in full and looks for descriptions of something broken, like an error, a failed action or a feature that stopped working, then groups conversations about the same problem. How-to questions and feature requests are kept separate.

How is churn risk scored?

Based on the customers the bug is hitting: whether they've asked how to cancel, their plan and spend, and how many people are affected. You can weight these to match how your business works.

Will it file tickets for engineering?

If you want it to. It creates Linear issues for each high-risk bug, with the conversations and repro steps attached, or comments on an existing one. Jira works through a custom MCP connection.

Where do the results go?

The bug list goes to product and engineering by email or Slack, and issues go to Linear or any tool you connect through MCP. It runs weekly by default, or daily or hourly. See MCP connections →

Know which bug to fix before the next cancellation.

Connect your conversations, customer records and billing data, and get your first bug list ranked by cancel risk.

Paste in your AI agent

Copy this line into ChatGPT, Claude, Gemini or your coding agent. It takes it from there.

Set me up with rippit.com
Try Rippit free
or request demo