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 windowBy campaign
10 campaigns| Campaign | Dials | Contacts | Net contact | Sales | Conv. %Sales ÷ net contacts | Hours | SPH |
|---|---|---|---|---|---|---|---|
| ACA00011 · PRX-30 AR Decline | 641 | 234 | 48 | 5 | 10.4% | 20.9 | 0.240 |
| ACA00008 · AR Decline DB | 502 | 141 | 23 | 1 | 4.3% | 13.6 | 0.074 |
| ACA00004 · PSX-1 DB-1 | 386 | 108 | 15 | 1 | 6.7% | 10.5 | 0.095 |
| ACA00012 · PSX-1 DB-1 | 367 | 146 | 12 | 1 | 8.3% | 11.3 | 0.089 |
| ACA00007 · PRX-45 | 256 | 65 | 8 | 0 | 0.0% | 7.0 | 0.000 |
| ACA00010 · Salvage 45-post | 143 | 63 | 8 | 0 | 0.0% | 3.7 | 0.000 |
| ACA00006 · PRX-15 | 104 | 41 | 10 | 3 | 30.0% | 2.6 | 1.171 |
| ACA00013 · Salvage 45-post | 40 | 19 | 2 | 0 | 0.0% | 1.3 | 0.000 |
| ACA00009 · PSX-30 | 29 | 17 | 5 | 3 | 60.0% | 2.8 | 1.059 |
| ACA00003 · PRX-30 AR Decline | 1 | 1 | 1 | 1 | 100.0% | 0.0 | 114.580 |
| Total | 2,469 | 835 | 132 | 15 | 11.4% | 73.6 | 0.204 |
Daily trend
each line indexed to the agent's own window average = 100Opportunity calls
14 in this window — longest conversations that did not convert- 9.2mvs 4.1m barACA00012Interested/Not Ready04d97381-78b9-405b-a8ed-9e3fe295eb94
- 6.5mvs 5.1m barACA00011Not interested075858ae-4c51-4f68-aa2b-0b478879ed24
- 5.1mvs 4.1m barACA00012Hang upd16cc76d-6bfa-4b13-9588-776b72864bc0
- 4.3mvs 4.1m barACA00012Interested/Not Ready6394ae6d-cd68-4b5e-90c0-051772e2f7f5
- 29.3mvs 5.0m bar (floor bar)ACA00009Interested/Not Ready616d8767-a9b6-435f-a2ab-aeb8b547ad21
- 6.0mvs 5.1m barACA00011Will renew later2c877fda-6091-46f4-b34d-a37281c5076b
- 6.8mvs 5.1m barACA00011Not interestedbc8a0963-58e5-40d5-a41b-9828c0b6b18e
- 7.8mvs 5.0m bar (floor bar)ACA00010Will renew later320b4ef6-5161-4211-b3f6-df6f301a1fc8
- 5.8mvs 5.0m bar (floor bar)ACA00008Interested/Not Readyefd10829-b899-4b93-8069-586d133cbecd
- 9.8mvs 5.0m bar (floor bar)ACA00008Not interestedbced7095-4937-47f2-aa68-931236df615b
- 16.5mvs 5.0m bar (floor bar)ACA00008Will renew latere1352ca4-f882-4c58-9492-1cd76f626b47
- 11.3mvs 5.0m bar (floor bar)ACA00004Will renew later87a92082-8a0b-4957-9684-8600443addc8
- 6.6mvs 5.0m bar (floor bar)ACA00004Will renew laterdc26af67-ac38-4b6d-881b-697c849fc82b
- 5.4mvs 5.0m bar (floor bar)ACA00004Will renew laterc60f6f70-6550-4f49-9d26-51c5f7df3228
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.
