B2CCustomer experience agent for team leads and QA managers

Agent Coaching Brief

Spend your 1:1s coaching, not searching.

Agent Coaching Brief finds the patterns in every rep's conversations, tells team leads what to coach to and what each rep does well, and backs every point up with real call and chat examples. Each team lead gets coaching notes for every rep, ready before the 1:1.

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The problem

Your team leads don't have time to find what to coach to.

5x

more time goes into preparing for coaching sessions than into the coaching itself.

Managers spend 2–3 hours prepping for each 34-minute session.

Source: Balto survey of 515 U.S. contact center managers (October 2021)
How it works

Every rep's wins and misses, with the examples to show them

Three steps. It reads every conversation, tracks each rep's habits week over week, and turns them into a brief for their team lead.

Ingest

Every conversation each rep handled, not a sample

Help desk
AI agent
Internal convos
Knowledge base
Anything else
Rippit

Analyze

What to coach and what to praise, per rep

One row per repAgent adding fields…
RepConvosStrength
Maya Torres410Calm de-escalation
Devon Clarke620Fast, friendly replies
Priya Nair280Clear refund steps
168 examples picked · 56 briefs ready

Act

A brief in hand before every 1:1

Coaching briefsNotion or Google Drive

56 briefs, one per rep, with coaching points, strengths and examples.

Briefs posted
Team lead DMsSlack or email

3 team leads get their reps’ briefs in Slack, ready before each 1:1.

Messages sent
+ Any connected MCP

Open a follow-up issue in Linear for each coaching point, or in Jira through a custom MCP connection.

See MCP connections →
FAQ

Questions

What sources can it use?

Help desk tickets, chats and emails from tools like Zendesk or Intercom, calls from Gong or Fireflies, your AI agent’s conversations from Decagon, Ada or Sierra, and Slack threads from channels you invite Rippit to. Your help articles and, if you run QA, your scorecards come in through a CSV or the Ingest API. See integrations →

Do we need a QA program?

No. It finds coaching opportunities in the conversations themselves, like how reps say no, when they escalate and whether they follow up. If you run QA, with AutoQA or your own reviewers, it folds those scores into each brief.

How does it pick what to coach?

It looks for patterns across the rep's week, like the same miss in several conversations or a habit that keeps slipping, and ranks them by how often they show up and how much they affect customers. Each point comes with the conversations that show it, so the rep sees exactly what you mean.

Why does every brief include a strength?

Because coaching that's only about misses is the fastest way to lose a rep's attention. Every brief names something the rep did well, with an example to show, so the 1:1 opens on what to keep doing.

Where do the briefs go?

Each team lead gets a Slack DM or email with their reps’ briefs, and the full briefs go to Notion or Google Drive. A weekly team rollup of patterns and trends goes to QA managers and team leads. It runs every Monday by default, and you can change it to daily or another day any time. See MCP connections →

Coach from real examples, not from memory.

Connect your conversations and knowledge base, and get a brief for every rep before your next round of 1:1s. No QA program required.

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