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18 of 25Coach in SupervizeAI ↗
Dials
2,783
DPH 32.8 · team 34.7
Contacts
763
CPH 9.0 · team 9.6
Net contacts
105
13.8% of contacts
Sales
6
SPH 0.071 · team 0.186
Sales / active day
0.46
13 days at 20+ dials
Conversion
5.7%
sales ÷ net contacts · goal 11%
Productive hours
84.9
CPS $237
AHT on a sale
15.1m
team 11.7m

Ruben Rivas flagged: SPH under 70% of the team rate

SPH 0.071 against a team rate of 0.186, so the coaching-flag threshold is 0.130.

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 0.135, which would put the threshold at 0.095. The flag above follows the rulebook until that is ruled.

Standing vs team

ranked among 24 agents with 20+ dials in this window
SPH
0.071
#18 of 24 · Q3 · 25th pct
team median 0.135
Conversion
5.7%
#17 of 23 · Q3 · 26th pct
team median 7.8%
Contact %
27.4%
#18 of 24 · Q3 · 25th pct
team median 29.8%
Sales
6
#16 of 24 · Q3 · 29th pct
team median 17
DPH
32.8
#20 of 24 · Q4 · 17th pct
team median 37.3

By campaign

8 campaigns
CampaignDialsContactsNet contactSalesConv. %HoursSPH
ACA00003 · PRX-30 AR Decline9522963825.3%24.20.082
ACA00006 · PRX-155191391516.7%18.90.053
ACA00004 · PSX-1 DB-1459862214.5%14.90.067
ACA00007 · PRX-453591131200.0%11.60.000
ACA00009 · PSX-30271666116.7%8.60.117
ACA00001 · Salvage14141600.0%3.70.000
ACA00008 · AR Decline DB6113500.0%2.30.000
ACA00002 · Salvage V221911100.0%0.71.505
Total2,78376310565.7%84.90.071

Daily trend

each line indexed to the agent's own window average = 100
092184277369SPH — % of own avg · 2026-06-29 — 0SPH — % of own avg · 2026-06-30 — 0SPH — % of own avg · 2026-07-06 — 0SPH — % of own avg · 2026-07-08 — 369SPH — % of own avg · 2026-07-09 — 0SPH — % of own avg · 2026-07-10 — 210SPH — % of own avg · 2026-07-14 — 219SPH — % of own avg · 2026-07-20 — 0SPH — % of own avg · 2026-07-27 — 0SPH — % of own avg · 2026-07-28 — 0SPH — % of own avg · 2026-07-29 — 0SPH — % of own avg · 2026-07-30 — 347SPH — % of own avg · 2026-08-03 — 0DPH — % of own avg · 2026-06-29 — 103DPH — % of own avg · 2026-06-30 — 130DPH — % of own avg · 2026-07-06 — 127DPH — % of own avg · 2026-07-08 — 112DPH — % of own avg · 2026-07-09 — 121DPH — % of own avg · 2026-07-10 — 113DPH — % of own avg · 2026-07-14 — 108DPH — % of own avg · 2026-07-20 — 91DPH — % of own avg · 2026-07-27 — 76DPH — % of own avg · 2026-07-28 — 83DPH — % of own avg · 2026-07-29 — 98DPH — % of own avg · 2026-07-30 — 78DPH — % of own avg · 2026-08-03 — 99990Mon 06/29Mon 07/06Thu 07/09Tue 07/14Mon 07/27Wed 07/29Mon 08/03
100 = own window averageSPH — % of own avgDPH — % of own avg

Opportunity calls

11 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 Ruben Rivas 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.