Rep Score

A single 0-100 score per rep, blended from close rate and speed to lead, smoothed toward the team average until the rep has handled enough leads.

What it is

The number the standings sort by, and the number the lead-routing engine reads when it needs a best performer. Each contributing metric is min/max normalised within the team, direction-aware, then weighted. A rep missing a metric is not penalised — the remaining weights are rescaled to sum to one.

Also called: one number per rep · composite sales score · 0-100 rep rating · how is my rep doing

See it
Rep Score
Won
49%
Avg cycle
11d
Pipeline
$595k
JanSep
The hero's right side — 'Rep Score 68/100' in large mono digits — plus the Overall Standings bars with the score labelled at the end of each. Hero + ScoreBoard in LeaderboardView.tsx. Sample data — no customer information appears here.
How it works
  1. 1Score metrics are those with a weight above zero: close rate 0.6, speed to lead 0.25, time to quote 0.1, follow-up 0.05.
  2. 2Each value is normalised 0-100 against the peer min and max; where everyone is equal the normalisation returns a neutral 50.
  3. 3The weighted sum is divided by the weights actually present for that rep.
  4. 4Final score = team average + (raw − team average) × confidence, where confidence ramps from 0 to 1 as the rep approaches the minimum-leads gate (default 20, configurable per org).
  5. 5Reps under the gate are marked provisional and shown with an asterisk on the chart axis.
Why we built it

The catalog carries a SCORE TRUTH block written to stop the copy over-promising: 'today the routing engine blends ONLY close rate + speed to lead… which lands at roughly 70/30 with the defaults. Follow-up discipline (time-to-quote + follow-up) is reserved for Phase 2 and is IGNORED by routing today… copy must say "coming", never claim it's in the score now.' Confidence smoothing exists so 'nobody gets crowned (or punished) on a tiny sample' — a rep with one lucky lead cannot top the board.

The problem
  • Raw close rate crowned whoever had the smallest sample.
  • Multiple metrics in different units could not be compared or ranked together.
  • Lead routing had no defensible measure of 'best performer'.
Sound familiar?
What you get
New reps start near the team average and earn their true score as they work leads.
One number that survives being questioned, because its inputs and weights are published in the UI.
Feeds the lead distribution engine's overflow rule so no lead ever waits.
What's inside

See it on your own jobs

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