| 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
-
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).
-
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.
-
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)?
-
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. |
