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B2B · Product · For CPOs, VPs of Product and PMs · Also for B2C companies You’re shipping faster than ever. This agent tells you whether each release actually made things better for customers. It joins usage and revenue from your warehouse with what customers said in tickets, chats and calls into one readout: who adopted, who got stuck, why, and what to fix before the next release.

What it reads

Usage, CRM and billing data from Snowflake, the Bulk API or a CSV. Support tickets and chats from tools like Zendesk or Intercom, AI agent chats from Decagon, Ada or Sierra, sales and CS calls from Gong or Fireflies, Slack threads, and web research on reviews and forums.

How it works

  1. Ingest. Usage, revenue and what customers said about the launch.
  2. Analyze. Who adopted, who got stuck and why.
  3. Act. Fix it before the next release.

What you get

One launch readout per release.
  • Slack: Your new feature, day 3: 38% adoption, 64% positive. Biggest stuck point: setup step 3.
  • Google Docs (full readout): Every account that tried it, where they got stuck and the quotes behind it.
  • Any tool you connect through MCP: File the setup bug in Linear with the 14 accounts it blocks.

Build it

Tell Rippit chat to “set up a launch readout for each release: who adopted, who got stuck, and why,” or ask your own AI assistant with Rippit connected. Rippit drafts it as a pipeline, tests it on a sample, and puts it live when you confirm. You can change what it reads, how it scores, who it notifies, and how often it runs at any time.

Questions

Slack, email or a Google Doc. It can also file bugs in Linear and write to Notion, and update Jira or your CRM through a custom MCP connection.
Yes. Run it daily or weekly after launch. Each readout shows the days since release, so you can compare day 3, week 1 and day 30 side by side.
Yes. For B2B, feedback breaks down by account and ARR. For B2C, it breaks down by plan, platform or segment.
Every number links back to the tickets, calls, threads and usage records behind it, so you can check the source in one click.