Sara Villeda — not flagged
SPH 0.382 against a team rate of 0.190, so the coaching-flag threshold is 0.133.
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 0.173, which would put the threshold at 0.121. The flag above follows the rulebook until that is ruled.
Standing vs team
ranked among 19 agents with 20+ dials in this windowBy campaign
7 campaigns| Campaign | Dials | Contacts | Net contact | Sales | Conv. %Sales ÷ net contacts | Hours | SPH |
|---|---|---|---|---|---|---|---|
| ACA00006 · PRX-15 | 1,913 | 262 | 55 | 16 | 29.1% | 48.9 | 0.327 |
| ACA00003 · PRX-30 AR Decline | 1,489 | 416 | 56 | 13 | 23.2% | 32.3 | 0.402 |
| ACA00009 · PSX-30 | 1,247 | 329 | 53 | 11 | 20.8% | 28.2 | 0.390 |
| ACA00004 · PSX-1 DB-1 | 920 | 156 | 34 | 5 | 14.7% | 20.0 | 0.250 |
| ACA00007 · PRX-45 | 381 | 61 | 20 | 4 | 20.0% | 9.3 | 0.430 |
| ACA00002 · Salvage V2 | 116 | 32 | 11 | 5 | 45.5% | 2.8 | 1.766 |
| ACA00008 · AR Decline DB | 85 | 14 | 3 | 1 | 33.3% | 2.3 | 0.432 |
| Total | 6,151 | 1,270 | 232 | 55 | 23.7% | 143.9 | 0.382 |
Daily trend
each line indexed to the agent's own window average = 100Opportunity calls
16 in this window — longest conversations that did not convert- 6.3mvs 5.5m barACA00007Will renew later63805fd5-33ac-48bd-8ae2-18d4c7f6c7f6
- 9.3mvs 4.1m barACA00004Not interested4a3c09fe-741c-49fb-9e44-b4faf4189914
- 4.7mvs 4.6m barACA00009Will renew later060b578c-5078-4694-8ec7-af85b1303468
- 37.0mvs 6.6m barACA00006Will renew lateraf40a41f-486f-4b60-a89d-8ff3ab9da5ca
- 16.7mvs 6.6m barACA00006Will renew laterc34130f5-c6b5-4a95-8325-be9250b51a13
- 8.6mvs 6.6m barACA00006Will renew laterf693c46a-723d-430a-8f1c-c024604f9070
- 8.2mvs 6.6m barACA00006Will renew later7357b360-3cc7-4be8-9fb5-17a40615768c
- 10.2mvs 4.6m barACA00009Will renew later9a007f19-94d2-4c38-a67c-19e8a6f06592
- 10.9mvs 6.6m barACA00006Will renew laterda8feff2-75bd-460d-b2ec-637ba94a6132
- 8.5mvs 4.1m barACA00004Not interested9e2c2c5f-2454-4902-9ab5-71e751f31e34
- 8.7mvs 4.1m barACA00004Not interested6cd8cd2c-dd84-42a2-bba0-22dbb776884a
- 7.3mvs 4.1m barACA00004Will renew later9a087cd6-06af-4201-956c-e6d6727786fa
- 9.3mvs 4.6m barACA00009Not interested13748f6b-9352-4d29-8348-ce35e6f08b40
- 9.0mvs 5.7m bar (floor bar)ACA00003Not interestedaa09121f-630f-4aa9-bea0-7c5000de4f00
- 6.1mvs 5.7m bar (floor bar)ACA00003Not interestedee528721-add4-43d2-91ce-09de35f883d4
- 6.2mvs 5.7m bar (floor bar)ACA00003Interested/Not Ready2712ea52-12b0-43db-beac-0a0ccaebe60e
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.
