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10 of 25Coach in SupervizeAI ↗
Dials
5,015
DPH 36.0 · team 34.7
Contacts
1,022
CPH 7.3 · team 9.6
Net contacts
230
22.5% of contacts
Sales
22
SPH 0.158 · team 0.186
Sales / active day
0.96
23 days at 20+ dials
Conversion
9.6%
sales ÷ net contacts · goal 11%
Productive hours
139.3
CPS $106
AHT on a sale
9.3m
team 11.7m

Oscar Linares not flagged

SPH 0.158 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
0.158
#10 of 24 · Q2 · 58th pct
team median 0.135
Conversion
9.6%
#10 of 23 · Q2 · 57th pct
team median 7.8%
Contact %
20.4%
#24 of 24 · Q4 · 0th pct
team median 29.8%
Sales
22
#9 of 24 · Q2 · 63th pct
team median 17
DPH
36.0
#14 of 24 · Q3 · 42th pct
team median 37.3

By campaign

8 campaigns
CampaignDialsContactsNet contactSalesConv. %HoursSPH
ACA00006 · PRX-151,5982535036.0%49.10.061
ACA00003 · PRX-30 AR Decline1,15729271811.3%27.90.287
ACA00009 · PSX-30693169461123.9%20.10.546
ACA00004 · PSX-1 DB-15661323300.0%16.30.000
ACA00007 · PRX-4538550500.0%10.20.000
ACA00008 · AR Decline DB24732400.0%7.20.000
ACA00001 · Salvage196571100.0%5.00.000
ACA00002 · Salvage V2173371000.0%3.60.000
Total5,0151,022230229.6%139.30.158

Daily trend

each line indexed to the agent's own window average = 100
073145218290SPH — % of own avg · 2026-06-29 — 0SPH — % of own avg · 2026-06-30 — 0SPH — % of own avg · 2026-07-01 — 0SPH — % of own avg · 2026-07-02 — 109SPH — % of own avg · 2026-07-03 — 0SPH — % of own avg · 2026-07-06 — 235SPH — % of own avg · 2026-07-07 — 244SPH — % of own avg · 2026-07-08 — 290SPH — % of own avg · 2026-07-09 — 245SPH — % of own avg · 2026-07-13 — 98SPH — % of own avg · 2026-07-14 — 95SPH — % of own avg · 2026-07-15 — 0SPH — % of own avg · 2026-07-16 — 0SPH — % of own avg · 2026-07-20 — 0SPH — % of own avg · 2026-07-21 — 0SPH — % of own avg · 2026-07-22 — 92SPH — % of own avg · 2026-07-23 — 0SPH — % of own avg · 2026-07-24 — 193SPH — % of own avg · 2026-07-25 — 0SPH — % of own avg · 2026-07-27 — 81SPH — % of own avg · 2026-07-28 — 86SPH — % of own avg · 2026-07-29 — 172SPH — % of own avg · 2026-07-30 — 85SPH — % of own avg · 2026-07-31 — 108SPH — % of own avg · 2026-08-03 — 0DPH — % of own avg · 2026-06-29 — 91DPH — % of own avg · 2026-06-30 — 129DPH — % of own avg · 2026-07-01 — 132DPH — % of own avg · 2026-07-02 — 122DPH — % of own avg · 2026-07-03 — 79DPH — % of own avg · 2026-07-06 — 105DPH — % of own avg · 2026-07-07 — 108DPH — % of own avg · 2026-07-08 — 122DPH — % of own avg · 2026-07-09 — 131DPH — % of own avg · 2026-07-13 — 103DPH — % of own avg · 2026-07-14 — 95DPH — % of own avg · 2026-07-15 — 96DPH — % of own avg · 2026-07-16 — 107DPH — % of own avg · 2026-07-20 — 92DPH — % of own avg · 2026-07-21 — 85DPH — % of own avg · 2026-07-22 — 77DPH — % of own avg · 2026-07-23 — 97DPH — % of own avg · 2026-07-24 — 86DPH — % of own avg · 2026-07-25 — 57DPH — % of own avg · 2026-07-27 — 81DPH — % of own avg · 2026-07-28 — 85DPH — % of own avg · 2026-07-29 — 98DPH — % of own avg · 2026-07-30 — 106DPH — % of own avg · 2026-07-31 — 108DPH — % of own avg · 2026-08-03 — 97970Mon 06/29Thu 07/02Tue 07/07Mon 07/13Thu 07/16Wed 07/22Sat 07/25Wed 07/29Mon 08/03
100 = own window averageSPH — % of own avgDPH — % of own avg

Opportunity calls

13 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 Oscar Linares 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.