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9 of 18Coach in SupervizeAI ↗
Dials
2,469
DPH 33.5 · team 33.4
Contacts
835
CPH 11.3 · team 9.3
Net contacts
132
15.8% of contacts
Sales
15
SPH 0.204 · team 0.211
Sales / active day
1.50
10 days at 20+ dials
Conversion
11.4%
sales ÷ net contacts · goal 11%
Productive hours
73.6
CPS $82
AHT on a sale
10.5m
team 10.2m

Dina Alonzo not flagged

SPH 0.204 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
0.204
#9 of 16 · Q3 · 44th pct
team median 0.234
Conversion
11.4%
#10 of 16 · Q3 · 38th pct
team median 11.8%
Contact %
33.8%
#5 of 16 · Q2 · 69th pct
team median 30.0%
Sales
15
#8 of 16 · Q2 · 50th pct
team median 15
DPH
33.5
#7 of 16 · Q2 · 56th pct
team median 33.1

By campaign

10 campaigns
CampaignDialsContactsNet contactSalesConv. %HoursSPH
ACA00011 · PRX-30 AR Decline64123448510.4%20.90.240
ACA00008 · AR Decline DB5021412314.3%13.60.074
ACA00004 · PSX-1 DB-13861081516.7%10.50.095
ACA00012 · PSX-1 DB-13671461218.3%11.30.089
ACA00007 · PRX-4525665800.0%7.00.000
ACA00010 · Salvage 45-post14363800.0%3.70.000
ACA00006 · PRX-151044110330.0%2.61.171
ACA00013 · Salvage 45-post4019200.0%1.30.000
ACA00009 · PSX-3029175360.0%2.81.059
ACA00003 · PRX-30 AR Decline1111100.0%0.0114.580
Total2,4698351321511.4%73.60.204

Daily trend

each line indexed to the agent's own window average = 100
062125187249SPH — % of own avg · 2026-08-03 — 184SPH — % of own avg · 2026-08-04 — 0SPH — % of own avg · 2026-08-05 — 61SPH — % of own avg · 2026-08-06 — 57SPH — % of own avg · 2026-08-07 — 74SPH — % of own avg · 2026-08-10 — 249SPH — % of own avg · 2026-08-11 — 160SPH — % of own avg · 2026-08-12 — 0SPH — % of own avg · 2026-08-14 — 132SPH — % of own avg · 2026-08-15 — 0SPH — % of own avg · 2026-08-17 — 65DPH — % of own avg · 2026-08-03 — 101DPH — % of own avg · 2026-08-04 — 123DPH — % of own avg · 2026-08-05 — 108DPH — % of own avg · 2026-08-06 — 112DPH — % of own avg · 2026-08-07 — 81DPH — % of own avg · 2026-08-10 — 81DPH — % of own avg · 2026-08-11 — 60DPH — % of own avg · 2026-08-12 — 90DPH — % of own avg · 2026-08-14 — 113DPH — % of own avg · 2026-08-15 — 76DPH — % of own avg · 2026-08-17 — 12512565Mon 08/03Tue 08/04Wed 08/05Thu 08/06Fri 08/07Mon 08/10Tue 08/11Wed 08/12Fri 08/14Sat 08/15Mon 08/17
100 = own window averageSPH — % of own avgDPH — % of own avg

Opportunity calls

14 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 Dina Alonzo 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.