Dina Alonzo — not flagged
SPH 0.188 against a team rate of 0.186, so the coaching-flag threshold is 0.130.
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 0.135, which would put the threshold at 0.095. The flag above follows the rulebook until that is ruled.
Standing vs team
ranked among 24 agents with 20+ dials in this windowBy campaign
8 campaigns| Campaign | Dials | Contacts | Net contact | Sales | Conv. %Sales ÷ net contacts | Hours | SPH |
|---|---|---|---|---|---|---|---|
| ACA00006 · PRX-15 | 1,800 | 453 | 85 | 9 | 10.6% | 55.0 | 0.164 |
| ACA00003 · PRX-30 AR Decline | 1,141 | 345 | 59 | 7 | 11.9% | 29.5 | 0.237 |
| ACA00009 · PSX-30 | 769 | 238 | 39 | 7 | 17.9% | 22.7 | 0.308 |
| ACA00004 · PSX-1 DB-1 | 673 | 191 | 28 | 2 | 7.1% | 18.4 | 0.109 |
| ACA00007 · PRX-45 | 342 | 119 | 21 | 1 | 4.8% | 10.1 | 0.099 |
| ACA00008 · AR Decline DB | 263 | 75 | 13 | 1 | 7.7% | 7.4 | 0.134 |
| ACA00001 · Salvage | 83 | 27 | 6 | 0 | 0.0% | 3.8 | 0.000 |
| ACA00002 · Salvage V2 | 36 | 21 | 3 | 1 | 33.3% | 2.0 | 0.508 |
| Total | 5,107 | 1,469 | 254 | 28 | 11.0% | 149.0 | 0.188 |
Daily trend
each line indexed to the agent's own window average = 100Opportunity calls
16 in this window — longest conversations that did not convert- 5.4mvs 4.1m barACA00004Will renew laterc60f6f70-6550-4f49-9d26-51c5f7df3228
- 5.2mvs 5.1m barACA00009Hang up701835cd-1451-414a-aeb3-901fe9caf31d
- 8.3mvs 7.1m barACA00006Interested/Not Readyc3b0e047-092f-4d40-89ef-28ff433bcb2c
- 5.7mvs 5.1m barACA00008Not interestedc2c5df3d-e368-42bf-b511-69f5c161930e
- 16.2mvs 5.1m barACA00009Not interested98c9d74b-86cf-40e3-b610-d8b0be76dfaa
- 10.1mvs 7.1m barACA00006Interested/Not Ready17c23330-6afd-4671-adb8-13c16a88ffce
- 12.4mvs 7.1m barACA00006Interested/Not Readyf6abf711-6791-45c8-ac99-477d7fc0348f
- 5.0mvs 4.1m barACA00004Interested/Not Ready35107f35-b221-4a10-9166-9af5a5f63c80
- 6.0mvs 5.7m bar (floor bar)ACA00003Interested/Not Ready612e2b5d-dfed-43e7-9b30-d3920c52e2ed
- 12.1mvs 5.1m barACA00009Interested/Not Ready1ae5cf97-0a96-44bd-8386-53c5c19b10be
- 9.2mvs 5.1m barACA00009Not interestedc37d7c4d-3ccf-48a7-aac9-1e6e61c3e6ec
- 14.0mvs 5.7m bar (floor bar)ACA00003Interested/Not Ready43ef21ac-8bbd-43f0-b2f7-0a8f1859f660
- 6.6mvs 5.7m bar (floor bar)ACA00003Not interestedf98ab815-cc13-43c6-b3b3-72cf7d95270e
- 6.8mvs 5.7m bar (floor bar)ACA00003Not interested3bc717a5-6282-43d4-a2c2-9c04ae5339ce
- 8.1mvs 5.7m bar (floor bar)ACA00002Interested/Not Ready5389c82a-fdd5-45af-9819-ede298be844b
- 16.8mvs 5.7m bar (floor bar)ACA00001Not interestedc87f9fd9-b8fc-4322-b8d8-cb65fb797cd9
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.
