CatalyzeCX
Command Center
AAA
08/01/2026→08/17/2026CentralPreview the new experience →
Date range
AllLast 7 daysLast weekThis monthPrior month
← Roster
10 of 18Coach in SupervizeAI ↗
← Dina Alonzo·Katerin Pocasangre →
Dials
2,140
DPH 31.6 · team 33.4
Contacts
331
CPH 4.9 · team 9.3
Net contacts
85
25.7% of contacts
Sales
11
SPH 0.162 · team 0.211
Sales / active day
1.10
10 days at 20+ dials
Conversion
12.9%
sales ÷ net contacts · goal 11%
Productive hours
67.8
CPS $103
AHT on a sale
14.9m
team 10.2m

Ruben Rivas — not flagged

SPH 0.162 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
0.162
#10 of 16 · Q3 · 38th pct
team median 0.234
Conversion
12.9%
#7 of 16 · Q2 · 56th pct
team median 11.8%
Contact %
15.5%
#16 of 16 · Q4 · 0th pct
team median 30.0%
Sales
11
#10 of 16 · Q3 · 38th pct
team median 15
DPH
31.6
#11 of 16 · Q3 · 31th pct
team median 33.1

By campaign

8 campaigns
CampaignDialsContactsNet contactSalesConv. %HoursSPH
ACA00011 · PRX-30 AR Decline6997434823.5%24.80.322
ACA00012 · PSX-1 DB-1476431218.3%12.10.083
ACA00004 · PSX-1 DB-1285641000.0%8.90.000
ACA00008 · AR Decline DB277361000.0%8.70.000
ACA00007 · PRX-45237601000.0%7.80.000
ACA00006 · PRX-1592233133.3%2.80.352
ACA00010 · Salvage 45-post5012100.0%1.50.000
ACA00009 · PSX-3024195120.0%1.00.974
Total2,140331851112.9%67.80.162

Daily trend

each line indexed to the agent's own window average = 100
059119178237SPH — % of own avg · 2026-08-03 — 0SPH — % of own avg · 2026-08-04 — 81SPH — % of own avg · 2026-08-05 — 0SPH — % of own avg · 2026-08-06 — 76SPH — % of own avg · 2026-08-07 — 97SPH — % of own avg · 2026-08-10 — 197SPH — % of own avg · 2026-08-11 — 237SPH — % of own avg · 2026-08-12 — 0SPH — % of own avg · 2026-08-13 — 181SPH — % of own avg · 2026-08-14 — 96DPH — % of own avg · 2026-08-03 — 103DPH — % of own avg · 2026-08-04 — 98DPH — % of own avg · 2026-08-05 — 106DPH — % of own avg · 2026-08-06 — 87DPH — % of own avg · 2026-08-07 — 101DPH — % of own avg · 2026-08-10 — 76DPH — % of own avg · 2026-08-11 — 77DPH — % of own avg · 2026-08-12 — 121DPH — % of own avg · 2026-08-13 — 113DPH — % of own avg · 2026-08-14 — 12512596Mon 08/03Tue 08/04Wed 08/05Thu 08/06Fri 08/07Mon 08/10Tue 08/11Wed 08/12Thu 08/13Fri 08/14
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.