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18 of 26Coach in SupervizeAI ↗
Dials
496
DPH 48.7 · team 34.4
Contacts
142
CPH 14.0 · team 9.5
Net contacts
32
22.5% of contacts
Sales
1
SPH 0.098 · team 0.193
Sales / active day
0.25
4 days at 20+ dials
Conversion
3.1%
sales ÷ net contacts · goal 11%
Productive hours
10.2
CPS $170
AHT on a sale
12.2m
team 11.3m

Miguel Ruiz flagged: SPH under 70% of the team rate

SPH 0.098 against a team rate of 0.193, so the coaching-flag threshold is 0.135.

Team SPH is total sales ÷ total hours, recomputed — not the mean of per-agent rates, which would read 20% low. FACTS.md L16 is open: rulebook §F says team-average, PRD:145 says team-median, both at 70%. The median here is 0.145, which would put the threshold at 0.102. The flag above follows the rulebook until that is ruled.

Standing vs team

ranked among 25 agents with 20+ dials in this window
SPH
0.098
#18 of 24 · Q3 · 25th pct
team median 0.145
Conversion
3.1%
#19 of 23 · Q4 · 17th pct
team median 9.1%
Contact %
28.6%
#15 of 25 · Q3 · 40th pct
team median 29.9%
Sales
1
#19 of 25 · Q4 · 24th pct
team median 23
DPH
48.7
#2 of 24 · Q1 · 92th pct
team median 37.3

By campaign

4 campaigns
CampaignDialsContactsNet contactSalesConv. %HoursSPH
ACA00009 · PSX-30319811500.0%5.90.000
ACA00001 · Salvage154531516.7%3.90.257
ACA00002 · Salvage V2207100.0%0.30.000
ACA00003 · PRX-30 AR Decline31100.0%0.10.000
Total4961423213.1%10.20.098

Daily trend

each line indexed to the agent's own window average = 100
0160319479639SPH — % of own avg · 2026-06-29 — 639SPH — % of own avg · 2026-06-30 — 0SPH — % of own avg · 2026-07-01 — 0SPH — % of own avg · 2026-07-02 — 0DPH — % of own avg · 2026-06-29 — 70DPH — % of own avg · 2026-06-30 — 89DPH — % of own avg · 2026-07-01 — 124DPH — % of own avg · 2026-07-02 — 1111110Mon 06/29Tue 06/30Wed 07/01Thu 07/02
100 = own window averageSPH — % of own avgDPH — % of own avg

Opportunity calls

2 in this window — longest conversations that did not convert

A real conversation (net contact, no sale) whose talk + hold + wrap ran more than one standard deviation above its campaign’s trailing-7-day average — so the bar moves with the campaign, not with the agent. Each id opens the recording in SupervizeAI. Campaigns with fewer than 30 such calls in the week fall back to the floor-wide bar, marked inline.

These are statistics, not a coaching record. Sessions, notes and scorecards live in SupervizeAI — open coaching in SupervizeAI → and pick Miguel Ruiz there. The link lands on the coaching surface rather than on the person: SupervizeAI keys agents on its own id, which does not exist in this data.