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3 of 18Coach in SupervizeAI ↗
Dials
2,704
DPH 39.9 · team 33.4
Contacts
421
CPH 6.2 · team 9.3
Net contacts
93
22.1% of contacts
Sales
22
SPH 0.324 · team 0.211
Sales / active day
2.20
10 days at 20+ dials
Conversion
23.7%
sales ÷ net contacts · goal 11%
Productive hours
67.8
CPS $52
AHT on a sale
9.1m
team 10.2m

Sara Villeda not flagged

SPH 0.324 against a team rate of 0.211, so the coaching-flag threshold is 0.148.

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 0.234, which would put the threshold at 0.164. The flag above follows the rulebook until that is ruled.

Standing vs team

ranked among 16 agents with 20+ dials in this window
SPH
0.324
#3 of 16 · Q1 · 81th pct
team median 0.234
Conversion
23.7%
#2 of 16 · Q1 · 88th pct
team median 11.8%
Contact %
15.6%
#15 of 16 · Q4 · 6th pct
team median 30.0%
Sales
22
#2 of 16 · Q1 · 81th pct
team median 15
DPH
39.9
#3 of 16 · Q1 · 81th pct
team median 33.1

By campaign

9 campaigns
CampaignDialsContactsNet contactSalesConv. %HoursSPH
ACA00011 · PRX-30 AR Decline845146341132.4%23.80.463
ACA00012 · PSX-1 DB-15177115426.7%11.10.360
ACA00004 · PSX-1 DB-14045010110.0%9.10.109
ACA00008 · AR Decline DB2755514214.3%6.80.295
ACA00010 · Salvage 45-post24630600.0%5.80.000
ACA00007 · PRX-4519024400.0%5.00.000
ACA00006 · PRX-15135207342.9%3.90.777
ACA00013 · Salvage 45-post6411001.10.000
ACA00009 · PSX-3028143133.3%1.20.827
Total2,704421932223.7%67.80.324

Daily trend

each line indexed to the agent's own window average = 100
074147221294SPH — % of own avg · 2026-08-03 — 40SPH — % of own avg · 2026-08-05 — 125SPH — % of own avg · 2026-08-06 — 41SPH — % of own avg · 2026-08-07 — 0SPH — % of own avg · 2026-08-10 — 167SPH — % of own avg · 2026-08-11 — 126SPH — % of own avg · 2026-08-12 — 132SPH — % of own avg · 2026-08-13 — 294SPH — % of own avg · 2026-08-14 — 72SPH — % of own avg · 2026-08-17 — 0DPH — % of own avg · 2026-08-03 — 103DPH — % of own avg · 2026-08-05 — 101DPH — % of own avg · 2026-08-06 — 95DPH — % of own avg · 2026-08-07 — 110DPH — % of own avg · 2026-08-10 — 82DPH — % of own avg · 2026-08-11 — 82DPH — % of own avg · 2026-08-12 — 95DPH — % of own avg · 2026-08-13 — 97DPH — % of own avg · 2026-08-14 — 112DPH — % of own avg · 2026-08-17 — 1241240Mon 08/03Wed 08/05Thu 08/06Fri 08/07Mon 08/10Tue 08/11Wed 08/12Thu 08/13Fri 08/14Mon 08/17
100 = own window averageSPH — % of own avgDPH — % of own avg

Opportunity calls

9 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 Sara Villeda 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.