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B2B · Customer experience · For CX leaders · Also for B2C companies Survey CSAT speaks for the small slice of customers who answer. Predictive CSAT scores every ticket, chat and call your team and AI agent handle, surveyed or not, so your CSAT represents every voice, not just the ones that are the loudest.

What it reads

Help desk tickets, chats and emails, call recordings, and your AI agent’s conversations through Rippit’s integrations. Usage and billing come through your warehouse or the Bulk API, and help center articles as a table. Survey scores that come with your tickets are read too.

How it works

  1. Ingest. Every conversation, not just the ones surveyed.
  2. Analyze. A predicted CSAT score and the driver behind it.
  3. Act. Low scores routed to the team that owns the fix.

What you get

A predicted CSAT score on every conversation.
  • pCSAT sheet (Google Sheets or Notion, updated daily): pCSAT 4.2 on all 1,900 conversations · survey CSAT 4.6. Biggest lift: fast first replies. Biggest drag: billing errors.
  • Driver alerts (Slack channel of the owning team): Billing errors : 14 low scores, sent to the billing team with examples.
  • Any tool you connect through MCP: Post the weekly driver report to Notion or Google Drive, or open a Linear issue for the team that owns the fix. Jira works through a custom MCP connection.

Build it

Tell Rippit chat to “set up a predicted CSAT score on every conversation,” 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

You set what a great experience means for your business, like a fast fix or no repeat contacts. It reads the whole conversation and scores it 1 to 5 against that.
The main reason behind a low score, like a billing error, a slow handoff or a wrong answer from the knowledge base. Drivers are grouped so you can see which ones move the score most, by channel and by who handled it, a rep or your AI agent.
A pCSAT sheet in Google Sheets or Notion, plus each day’s low scores in Slack or email. Through MCP, it can also post reports to Notion or Google Drive, or open a Linear issue. Jira needs a custom MCP connection. It runs every morning by default, and you can change the schedule.
No. Keep the survey. Predictive CSAT scores every conversation, including the surveyed ones, so your survey stops being the only read on how customers feel.