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What the VERM Schedule Adherence report measures

The VERM Schedule Adherence per day sub-report counts how many distinct agents were logged in each day and what share of staffed agents each day held.

VICIfast Support
··3 min read
What the VERM Schedule Adherence report measures

The VERM Schedule Adherence sub-report answers one staffing question: how many of your agents were actually logged in, and when. The per-day view walks through your report date range and, for each day, shows the count of distinct agents who logged in that day. Days where nobody logged in are skipped entirely, so the report only lists days that had floor activity. This is the simplest way to see staffing spread across a week or a month without reading raw Timeclock records by hand.

What each day in the report shows

Two numbers appear next to every listed day. The first is the count of distinct agents logged in for that day, so an agent who logs in and out three times still counts once. The second is a percentage: that day's distinct-agent count measured against the total of distinct-agent counts across every day in the report interval. Because every listed day's percentage is a slice of that combined total, the percentages add up to 100% across the range. A bar graph next to each row draws the same percentage so you can spot heavy and light days at a glance.

Read the percentage as a distribution, not a coverage figure. A day showing 18% is not telling you 18% of your team showed up; it means 18% of all the staffed-agent activity in the range happened on that day. If your week runs five even days, you would expect each to land near 20%. A day that drops to 9% is the one to ask about.

Per hour and per day of week

The same idea repeats at finer and coarser grain. The per-hour version splits each day into intervals (30 minutes by default) and counts distinct agents active in each interval, with the percentage taken against the interval total for the range. Unlike the per-day view, empty intervals are still printed, so you can see exactly when the floor emptied out at lunch or after a shift change. The day-of-week version rolls everything up, so a Monday-through-Sunday picture tells you which weekdays carry your staffing. All three are reading the same login activity, just bucketed differently.

This report pairs well with the rest of the staffing picture. Schedule Adherence tells you who showed up; an Agent performance view tells you what they produced once logged in, and Agent utilization tells you how much of that logged-in time was spent on live work versus idle. For the wider context, see the VICIdial reports overview, and for the live-floor counterpart read how to read the real-time main report.

Because per-day percentages are relative to the range, the same staffing day can show a different percent depending on which dates you pulled. Always compare adherence numbers within a single report run, never across two reports with different date windows.

How the number is derived

flowchart TD
  A[Agent login activity in range] --> B[Group by day]
  B --> C{Any agents logged in that day}
  C -->|No| D[Day skipped]
  C -->|Yes| E[Count distinct agents for day]
  E --> F[Sum distinct counts across all days]
  E --> G[Percent equals day count over total]
  G --> H[Render row plus bar graph]
  F --> G

Used together with your service targets, Schedule Adherence becomes an early-warning signal: thin staffing days line up with slower answer times and rising abandons. VICIfast ships managed VICIdial with VERM ready to run from the first login, so you can read adherence on day one. See plans on /pricing and bring your own carrier.

About VICIfast LLC

VICIfast LLC operates a managed VICIdial hosting + BYOI service for outbound and inbound call centers. We run the dialers, the carriers, the recordings pipeline, and the compliance plumbing so operators don’t have to.

Citing this article

VICIfast Engineering. “What the VERM Schedule Adherence report measures”. VICIfast LLC, June 25, 2026. Retrieved from https://vicifast.com/blog/verm-schedule-adherence-report-explained

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