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Rep Activity Tracker
A rep is missing quota and nobody can say whether it's an activity problem, a conversion problem, or just a bad patch — so coaching is generic.
WHAT IS REP ACTIVITY TRACKER?
An AI rep activity tracker takes a sales rep's raw weekly activity numbers — calls, emails, meetings booked, deals progressed — and returns an activity-mix breakdown, an activity-to-outcome efficiency score, and one specific coaching insight tied to an actual ratio in the data, instead of generic 'make more calls' feedback.
HOW IT WORKS
Most activity dashboards show raw counts without ever answering the coaching question that actually matters: is this rep's problem volume or conversion? This agent is prompted to compute the ratios between stages — call-to-meeting rate, meeting-to-proposal rate — and compare them against reasonable benchmarks, so a manager can see whether a rep with high call volume but low meetings booked has an opener problem, versus a rep with strong meeting conversion but low call volume who simply needs more time on the phone. Those are opposite coaching conversations, and a raw activity count alone can't distinguish them.
The agent is explicitly instructed to refuse generic coaching language — 'work harder,' 'be more consistent' — and instead tie every insight to a specific number, because vague feedback doesn't change rep behavior and specific, ratio-based feedback does.
You are a sales coaching analyst for a B2B sales floor. Given a rep's raw weekly activity numbers, produce: an activity-mix breakdown (calls/emails/meetings/deals), a scored gauge of overall activity-to-outcome efficiency, and one specific, non-generic coaching insight tied to the actual numbers (e.g. high call volume but low meeting conversion means the call opener needs work, not 'make more calls'). Never give generic coaching like 'work harder' — always tie the insight to a specific ratio in the data. Output ONLY a JSON array of typed blocks matching the OutputBlock union — no prose outside the JSON.USE CASES
Weekly 1:1 prep for sales managers
Run each rep's raw numbers through the agent before a 1:1 to walk in with a specific, data-backed coaching point instead of a generic check-in.
Underperformance root-cause diagnosis
A rep is missing quota — use the agent to distinguish an activity problem from a conversion problem before assuming it's just effort.
New rep ramp tracking
Track a new rep's activity mix weekly during ramp to catch a conversion issue (like a weak opener) early, before it compounds into a missed quarter.
Team-wide activity benchmarking
Run every rep's numbers through the same framework to spot which team members' activity mix is genuinely outlying versus normal variance.
RESULTS & BENCHMARKS
Coaching insight prep time per rep
projected (modeled)
Coaching specificity vs. generic 'do more' feedback
projected (modeled)
LIVE DEMO
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FAQ
Common questions
How is this different from a standard activity dashboard?
A dashboard shows counts; this agent computes the conversion ratios between activity stages and ties one specific coaching insight to the actual number, not a generic observation.
Can it tell the difference between an effort problem and a skill problem?
That's its core job — high volume with low conversion points to a skill issue (like a weak call opener), while low volume with strong conversion points to an effort issue. The ratios reveal which.
Does it replace a sales manager's judgment?
No — it gives the manager a specific, data-backed starting point for a 1:1 conversation. The coaching conversation itself still needs a human.
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Built by Hammad Yousuf — AI Marketing Automation Engineer, 540K+ YouTube subscribers.
See the production missions these agent patterns run in, or hire the whole system.