Day
Dials
2,517
29% vs last 3 Fridays
Net contacts
102
41% vs last 3 Fridays
Net rate
4.1%
17% vs 7-day average
Sales
18
+13% vs last 3 Fridays
Sales / hour
0.227
+34% vs 7-day rate
Billable hours
79.2
16% vs last 3 Fridays

Floor pace — 07/31/2026

by houroff pace

Through : 102 net contacts against 173 at the same hour on the last 3 Fridays (2,517 vs 3,532 dials).

0122244366487071412a CT — 0 dials, 0 net contacts, 0 sales, 0 agents with calls (7-day avg 0 dials)1a CT — 0 dials, 0 net contacts, 0 sales, 0 agents with calls (7-day avg 0 dials)2a CT — 0 dials, 0 net contacts, 0 sales, 0 agents with calls (7-day avg 0 dials)3a CT — 0 dials, 0 net contacts, 0 sales, 0 agents with calls (7-day avg 0 dials)4a CT — 0 dials, 0 net contacts, 0 sales, 0 agents with calls (7-day avg 0 dials)5a CT — 0 dials, 0 net contacts, 0 sales, 0 agents with calls (7-day avg 0 dials)6a CT — 0 dials, 0 net contacts, 0 sales, 0 agents with calls (7-day avg 0 dials)7a CT — 1 dials, 0 net contacts, 0 sales, 2 agents with calls (7-day avg 0 dials)8a CT — 0 dials, 0 net contacts, 0 sales, 1 agents with calls (7-day avg 1 dials)9a CT — 391 dials, 11 net contacts, 0 sales, 14 agents with calls (7-day avg 437 dials)10a CT — 352 dials, 17 net contacts, 2 sales, 14 agents with calls (7-day avg 480 dials)11a CT — 287 dials, 15 net contacts, 4 sales, 14 agents with calls (7-day avg 396 dials)12p CT — 413 dials, 20 net contacts, 1 sales, 14 agents with calls (7-day avg 487 dials)1p CT — 204 dials, 7 net contacts, 4 sales, 14 agents with calls (7-day avg 327 dials)2p CT — 177 dials, 8 net contacts, 2 sales, 10 agents with calls (7-day avg 146 dials)3p CT — 370 dials, 13 net contacts, 4 sales, 14 agents with calls (7-day avg 431 dials)4p CT — 291 dials, 10 net contacts, 1 sales, 14 agents with calls (7-day avg 402 dials)5p CT — 31 dials, 1 net contacts, 0 sales, 14 agents with calls (7-day avg 417 dials)6p CT — 0 dials, 0 net contacts, 0 sales, 1 agents with calls (7-day avg 8 dials)7p CT — 0 dials, 0 net contacts, 0 sales, 1 agents with calls (7-day avg 0 dials)8p CT — 0 dials, 0 net contacts, 0 sales, 1 agents with calls (7-day avg 0 dials)9p CT — 0 dials, 0 net contacts, 0 sales, 1 agents with calls (7-day avg 0 dials)10p CT — 0 dials, 0 net contacts, 0 sales, 0 agents with calls (7-day avg 0 dials)241424112a2a4a6a8a10a12p2p4p6p8p10p
Dials (left axis) Dials, average of the last 3 Fridays at this hour Agents with calls (right axis, max 14)n Sales, count in the dot (right axis)Hours are US Central

“Agents with calls” = agents with at least one call that hour. There is no schedule or agent-state feed, so this is not staffing or occupancy.

Opportunity calls — most recent

long 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. Each id opens the recording in SupervizeAI. Campaigns with fewer than 30 such calls in the week use the floor-wide bar instead, marked inline — their own average is too thin to trust.

Alert feed — 07/31/2026

19 on this day
  • Coaching flagCristian Aguilar7-day SPH 0.105 vs team 0.168rule ⓘ

    Sales per hour has been under the contract threshold across the whole week, not just today. This is the one flag here that the client agreement defines, so it carries weight beyond internal coaching.

    Do next: Book a coaching session this week and document it. Listen to two or three recent calls for pitch and close, and compare against a strong performer on the same campaign — a week of low SPH is a skill or script gap, not a bad day.

  • Drop vs own 7-dayCristian Aguilar0.6 net/hr today vs own 1.2rule ⓘ

    They are reaching far fewer people per hour today than they normally do. This compares them only against themselves, so it is a change in their own pattern — it says nothing about whether they are strong or weak relative to the team.

    Do next: Check in with them today, before the shift ends. A sudden personal drop usually has a cause rather than a skill gap: a bad list, a headset or dialer problem, or something going on personally. Ask first, coach second.

  • Coaching flagRodrigo Cortez7-day SPH 0.104 vs team 0.168rule ⓘ

    Sales per hour has been under the contract threshold across the whole week, not just today. This is the one flag here that the client agreement defines, so it carries weight beyond internal coaching.

    Do next: Book a coaching session this week and document it. Listen to two or three recent calls for pitch and close, and compare against a strong performer on the same campaign — a week of low SPH is a skill or script gap, not a bad day.

  • Coaching flagRodrigo Pineda7-day SPH 0.097 vs team 0.168rule ⓘ

    Sales per hour has been under the contract threshold across the whole week, not just today. This is the one flag here that the client agreement defines, so it carries weight beyond internal coaching.

    Do next: Book a coaching session this week and document it. Listen to two or three recent calls for pitch and close, and compare against a strong performer on the same campaign — a week of low SPH is a skill or script gap, not a bad day.

  • Coaching flagSusana Zambrano7-day SPH 0.025 vs team 0.168rule ⓘ

    Sales per hour has been under the contract threshold across the whole week, not just today. This is the one flag here that the client agreement defines, so it carries weight beyond internal coaching.

    Do next: Book a coaching session this week and document it. Listen to two or three recent calls for pitch and close, and compare against a strong performer on the same campaign — a week of low SPH is a skill or script gap, not a bad day.

  • AHT outlierSara Villeda245s per eligible non-sale vs team 161s (7-day)rule ⓘ

    On calls that did NOT end in a sale, they are spending much longer than the team. This only counts the calls that went nowhere, so it is time spent on conversations that were never going to convert — it is not a knock on thorough selling.

    Do next: Listen for where the call should have ended and did not. The coaching point is recognising a no early and closing politely, which frees the hour for more dials. Do not push them to rush calls that are genuinely progressing.

  • No calls in a whileCarlos Chacon285 min before the day's last loaded callrule ⓘ

    There is a gap between their last call and the rest of the floor's activity. **This is not idle time.** We have no agent-status feed, so a break, a meeting, training, a system problem and an early finish all look exactly the same here.

    Do next: Confirm they are logged in and taking calls. Treat this as a prompt to check, never as evidence of time theft — the data genuinely cannot tell the difference, and using it that way will be wrong often enough to cost you trust.

  • No calls in a whileCristian Aguilar287 min before the day's last loaded callrule ⓘ

    There is a gap between their last call and the rest of the floor's activity. **This is not idle time.** We have no agent-status feed, so a break, a meeting, training, a system problem and an early finish all look exactly the same here.

    Do next: Confirm they are logged in and taking calls. Treat this as a prompt to check, never as evidence of time theft — the data genuinely cannot tell the difference, and using it that way will be wrong often enough to cost you trust.

  • No calls in a whileDina Alonzo287 min before the day's last loaded callrule ⓘ

    There is a gap between their last call and the rest of the floor's activity. **This is not idle time.** We have no agent-status feed, so a break, a meeting, training, a system problem and an early finish all look exactly the same here.

    Do next: Confirm they are logged in and taking calls. Treat this as a prompt to check, never as evidence of time theft — the data genuinely cannot tell the difference, and using it that way will be wrong often enough to cost you trust.

  • No calls in a whileEfrain Martinez286 min before the day's last loaded callrule ⓘ

    There is a gap between their last call and the rest of the floor's activity. **This is not idle time.** We have no agent-status feed, so a break, a meeting, training, a system problem and an early finish all look exactly the same here.

    Do next: Confirm they are logged in and taking calls. Treat this as a prompt to check, never as evidence of time theft — the data genuinely cannot tell the difference, and using it that way will be wrong often enough to cost you trust.

  • No calls in a whileKaterin Pocasangre287 min before the day's last loaded callrule ⓘ

    There is a gap between their last call and the rest of the floor's activity. **This is not idle time.** We have no agent-status feed, so a break, a meeting, training, a system problem and an early finish all look exactly the same here.

    Do next: Confirm they are logged in and taking calls. Treat this as a prompt to check, never as evidence of time theft — the data genuinely cannot tell the difference, and using it that way will be wrong often enough to cost you trust.

  • No calls in a whileLivario Aguirre286 min before the day's last loaded callrule ⓘ

    There is a gap between their last call and the rest of the floor's activity. **This is not idle time.** We have no agent-status feed, so a break, a meeting, training, a system problem and an early finish all look exactly the same here.

    Do next: Confirm they are logged in and taking calls. Treat this as a prompt to check, never as evidence of time theft — the data genuinely cannot tell the difference, and using it that way will be wrong often enough to cost you trust.

  • No calls in a whileMaria Molina284 min before the day's last loaded callrule ⓘ

    There is a gap between their last call and the rest of the floor's activity. **This is not idle time.** We have no agent-status feed, so a break, a meeting, training, a system problem and an early finish all look exactly the same here.

    Do next: Confirm they are logged in and taking calls. Treat this as a prompt to check, never as evidence of time theft — the data genuinely cannot tell the difference, and using it that way will be wrong often enough to cost you trust.

  • No calls in a whileNestor Najarro287 min before the day's last loaded callrule ⓘ

    There is a gap between their last call and the rest of the floor's activity. **This is not idle time.** We have no agent-status feed, so a break, a meeting, training, a system problem and an early finish all look exactly the same here.

    Do next: Confirm they are logged in and taking calls. Treat this as a prompt to check, never as evidence of time theft — the data genuinely cannot tell the difference, and using it that way will be wrong often enough to cost you trust.

  • No calls in a whileOscar Linares286 min before the day's last loaded callrule ⓘ

    There is a gap between their last call and the rest of the floor's activity. **This is not idle time.** We have no agent-status feed, so a break, a meeting, training, a system problem and an early finish all look exactly the same here.

    Do next: Confirm they are logged in and taking calls. Treat this as a prompt to check, never as evidence of time theft — the data genuinely cannot tell the difference, and using it that way will be wrong often enough to cost you trust.

  • No calls in a whileRodrigo Cortez286 min before the day's last loaded callrule ⓘ

    There is a gap between their last call and the rest of the floor's activity. **This is not idle time.** We have no agent-status feed, so a break, a meeting, training, a system problem and an early finish all look exactly the same here.

    Do next: Confirm they are logged in and taking calls. Treat this as a prompt to check, never as evidence of time theft — the data genuinely cannot tell the difference, and using it that way will be wrong often enough to cost you trust.

  • No calls in a whileRodrigo Pineda286 min before the day's last loaded callrule ⓘ

    There is a gap between their last call and the rest of the floor's activity. **This is not idle time.** We have no agent-status feed, so a break, a meeting, training, a system problem and an early finish all look exactly the same here.

    Do next: Confirm they are logged in and taking calls. Treat this as a prompt to check, never as evidence of time theft — the data genuinely cannot tell the difference, and using it that way will be wrong often enough to cost you trust.

  • No calls in a whileSara Villeda287 min before the day's last loaded callrule ⓘ

    There is a gap between their last call and the rest of the floor's activity. **This is not idle time.** We have no agent-status feed, so a break, a meeting, training, a system problem and an early finish all look exactly the same here.

    Do next: Confirm they are logged in and taking calls. Treat this as a prompt to check, never as evidence of time theft — the data genuinely cannot tell the difference, and using it that way will be wrong often enough to cost you trust.

  • No calls in a whileSusana Zambrano287 min before the day's last loaded callrule ⓘ

    There is a gap between their last call and the rest of the floor's activity. **This is not idle time.** We have no agent-status feed, so a break, a meeting, training, a system problem and an early finish all look exactly the same here.

    Do next: Confirm they are logged in and taking calls. Treat this as a prompt to check, never as evidence of time theft — the data genuinely cannot tell the difference, and using it that way will be wrong often enough to cost you trust.

The SPH flag is contractual: under 70% of pooled team SPH over the trailing 7 days. Every other threshold is operational and printed in its own rule. Inactivity is measured from the last loaded call, not the wall clock.

Roster

14 agents on the floor
AgentDialsNetNet rateTrue convSalesHoursLast call
Maria Molina236125.1%13816.04
Dina Alonzo259114.2%8106.76
Rodrigo Cortez137107.3%8205.11
Nestor Najarro23393.9%12516.13
Livario Aguirre22983.5%7535.84
Oscar Linares22883.5%6215.84
Carlos Chacon18584.3%5325.69
Efrain Martinez15985.0%10226.50
Sara Villeda25872.7%7336.26
Katerin Pocasangre13675.1%7326.12
Susana Zambrano20962.9%7905.96
Rodrigo Pineda14642.7%9826.56
Cristian Aguilar10044.0%4416.35
0200.0%000.00
Floor2,5171024.1%1879.16

Campaign watch — worst first

each campaign against its own trailing 7 days
CampaignDialsNetNet rate7-day ratevs itselfSales
ACA000041500.0%4.1%100%0
ACA000061,171363.1%4.0%22%6
ACA00007356164.5%5.1%13%2
ACA00009385205.2%5.7%9%6
ACA00008590305.1%3.6%+42%4

Everything on this page is one day, measured against the 7 days before it. For a range — volume over time, period-over-period movement, the full KPI set — use Trends.