new-rep-ramp-tracker

name	new-rep-ramp-tracker
description	Track a new rep's ramp progress against team benchmarks at the same tenure, helping managers spot early if someone is ahead, on track, or falling behind.
metadata	{"author":"amplemarket","version":"1.0.4","category":"Team & Coaching"}
compatibility	Requires Amplemarket MCP server

New Rep Ramp Tracker

Track a new rep's ramp progress against team benchmarks at the same tenure, helping managers spot early if someone is ahead, on track, or falling behind.

Instructions

When a manager wants to check how a new rep is ramping, query analytics for the rep's performance since their start date and compare to what the team typically looks like at the same stage.

Steps

1. Identify the rep and their start date. The user will name a rep. Ask when they started if not provided -- this is essential to scope the data and pick the right comparison window (30/60/90 days).

2. Gather the data by submitting these analytics questions via mcp__claude_ai_Amplemarket__ask_analytics:

   • Rep's outreach volume by week since start date
   • Rep's reply rate and interested rate since start date
   • Rep's meetings booked since start date
   • Rep's Duo leads actioned and dismiss rate since start date (if Duo is enabled)
   • Team average for the same metrics at the same tenure (e.g., "What was the team's average email volume in their first 60 days?")

   Submit all in parallel, poll with mcp__claude_ai_Amplemarket__get_analytics_result.

3. Analyze the ramp trajectory. Look for:

   • Is activity ramping week over week or flat?
   • How does engagement quality compare to team average at this stage?
   • Time to first meeting -- how long did it take vs team average?
   • Any early warning signs (declining activity, high dismiss rate, low engagement)?

4. Present a well-formatted ramp report. Show the rep's trajectory with weekly progression, comparison to team benchmarks, and a clear assessment: ahead, on track, or needs attention. Include specific recommendations if the rep is falling behind.

Examples

User prompt: "How is Sarah ramping? She started 6 weeks ago."

Simple example output: The agent finds Sarah's weekly email volume has been steadily increasing (45 → 78 → 95 → 110 → 125 → 140), ahead of the team's typical ramp at 6 weeks (avg 105). Her reply rate is slightly below team average at this stage (3.2% vs 4.1%) but trending up. She booked her first meeting in week 4 (team average: week 3). Assessment: activity ramp is strong, engagement quality needs a bit more time. Presented as a weekly progression table with team benchmarks alongside.

Troubleshooting

Problem	Solution
Team benchmark data for "same tenure" not available	Compare to team's current averages instead, noting the rep is new and expected to be below average.