CatalyzeCX
Command Center
AAA
06/29/2026→08/17/2026CentralPreview the new experience →
Date range
AllLast 7 daysLast weekThis monthPrior month
← Roster
1 of 26Coach in SupervizeAI ↗
—·Maria Molina →
Dials
8,948
DPH 41.8 · team 34.4
Contacts
1,710
CPH 8.0 · team 9.5
Net contacts
325
19.0% of contacts
Sales
77
SPH 0.360 · team 0.193
Sales / active day
2.26
34 days at 20+ dials
Conversion
23.7%
sales ÷ net contacts · goal 11%
Productive hours
213.9
CPS $47
AHT on a sale
9.4m
team 11.3m

Sara Villeda — not flagged

SPH 0.360 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
0.360
#1 of 24 · Q1 · 96th pct
team median 0.145
Conversion
23.7%
#1 of 23 · Q1 · 96th pct
team median 9.1%
Contact %
19.1%
#24 of 25 · Q4 · 4th pct
team median 29.9%
Sales
77
#1 of 25 · Q1 · 96th pct
team median 23
DPH
41.8
#6 of 24 · Q1 · 75th pct
team median 37.3

By campaign

12 campaigns
CampaignDialsContactsNet contactSalesConv. %HoursSPH
ACA00006 · PRX-152,048282621930.6%52.70.360
ACA00003 · PRX-30 AR Decline1,489416561323.2%32.30.402
ACA00004 · PSX-1 DB-11,32420644613.6%29.20.206
ACA00009 · PSX-301,275343561221.4%29.40.408
ACA00011 · PRX-30 AR Decline845146341132.4%23.80.463
ACA00007 · PRX-455718524416.7%14.30.280
ACA00012 · PSX-1 DB-15177115426.7%11.10.360
ACA00008 · AR Decline DB3606917317.6%9.10.330
ACA00010 · Salvage 45-post24630600.0%5.80.000
ACA00002 · Salvage V21163211545.5%2.81.766
ACA00001 · Salvage931900—2.20.000
ACA00013 · Salvage 45-post641100—1.10.000
Total8,9481,7103257723.7%213.90.360

Daily trend

each line indexed to the agent's own window average = 100
083165248331SPH — % 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 — 95SPH — % of own avg · 2026-07-06 — 331SPH — % of own avg · 2026-07-07 — 232SPH — % of own avg · 2026-07-08 — 83SPH — % of own avg · 2026-07-09 — 52SPH — % of own avg · 2026-07-10 — 138SPH — % of own avg · 2026-07-13 — 43SPH — % of own avg · 2026-07-14 — 84SPH — % of own avg · 2026-07-15 — 39SPH — % of own avg · 2026-07-16 — 100SPH — % of own avg · 2026-07-17 — 171SPH — % of own avg · 2026-07-20 — 76SPH — % of own avg · 2026-07-21 — 105SPH — % of own avg · 2026-07-22 — 39SPH — % of own avg · 2026-07-23 — 73SPH — % of own avg · 2026-07-24 — 43SPH — % of own avg · 2026-07-27 — 73SPH — % of own avg · 2026-07-28 — 75SPH — % of own avg · 2026-07-29 — 198SPH — % of own avg · 2026-07-30 — 74SPH — % of own avg · 2026-07-31 — 133SPH — % of own avg · 2026-08-03 — 36SPH — % of own avg · 2026-08-05 — 113SPH — % of own avg · 2026-08-06 — 37SPH — % of own avg · 2026-08-07 — 0SPH — % of own avg · 2026-08-10 — 150SPH — % of own avg · 2026-08-11 — 114SPH — % of own avg · 2026-08-12 — 119SPH — % of own avg · 2026-08-13 — 265SPH — % of own avg · 2026-08-14 — 65SPH — % of own avg · 2026-08-17 — 0DPH — % of own avg · 2026-06-29 — 96DPH — % of own avg · 2026-06-30 — 110DPH — % of own avg · 2026-07-01 — 92DPH — % of own avg · 2026-07-02 — 86DPH — % of own avg · 2026-07-06 — 71DPH — % of own avg · 2026-07-07 — 92DPH — % of own avg · 2026-07-08 — 139DPH — % of own avg · 2026-07-09 — 129DPH — % of own avg · 2026-07-10 — 122DPH — % of own avg · 2026-07-13 — 125DPH — % of own avg · 2026-07-14 — 123DPH — % of own avg · 2026-07-15 — 104DPH — % of own avg · 2026-07-16 — 109DPH — % of own avg · 2026-07-17 — 115DPH — % of own avg · 2026-07-20 — 101DPH — % of own avg · 2026-07-21 — 93DPH — % of own avg · 2026-07-22 — 93DPH — % of own avg · 2026-07-23 — 96DPH — % of own avg · 2026-07-24 — 87DPH — % of own avg · 2026-07-27 — 101DPH — % of own avg · 2026-07-28 — 92DPH — % of own avg · 2026-07-29 — 82DPH — % of own avg · 2026-07-30 — 102DPH — % of own avg · 2026-07-31 — 98DPH — % of own avg · 2026-08-03 — 98DPH — % of own avg · 2026-08-05 — 96DPH — % of own avg · 2026-08-06 — 91DPH — % of own avg · 2026-08-07 — 105DPH — % of own avg · 2026-08-10 — 78DPH — % of own avg · 2026-08-11 — 78DPH — % of own avg · 2026-08-12 — 91DPH — % of own avg · 2026-08-13 — 93DPH — % of own avg · 2026-08-14 — 107DPH — % of own avg · 2026-08-17 — 1191190Mon 06/29Thu 07/02Wed 07/08Mon 07/13Thu 07/16Tue 07/21Fri 07/24Wed 07/29Mon 08/03Fri 08/07Wed 08/12Mon 08/17
100 = own window averageSPH — % of own avgDPH — % of own avg

Opportunity calls

27 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.