Workforce management & operational analytics

See the operation clearly.

Elaris brings workforce planning, operational performance and evidence-grounded analysis together, so teams can understand what happened, investigate why, and make better decisions about what comes next.

Operations overview BILLING · SUPPORT · RETENTION Today 30-minute intervals
Service level
82.4%
Up 2.1 pts on last week
Staffing variance
−6.2 FTE
Below requirement, 09:00–12:00
Forecast accuracy
94.1%
Within tolerance

Intraday demand against requirement

Offered demand Uncovered against requirement

What changed

Offered demand+7.4%

Net available capacity−4.1%

Average handle time+22 sec

Primary driver volume, secondary capacity. Handle time contributed, but was not material on its own.

Queue performance
Queue Service level Change Position
Billing85.2%+3.1On target
Support78.9%−2.4Below target
Retention83.7%+0.8Stable
Illustrative interface · synthetic data · not a product screenshot

The problem

Workforce teams have plenty of data. The harder problem is knowing which numbers are trustworthy.

Fragmented signals

Staffing, demand, performance, queues, skills and organizational context sit in separate views that no one reconciles.

Metrics without context

A number can be mathematically correct and still mislead without its denominator, period, coverage and provenance.

Analysis takes too long

Analysts spend valuable hours assembling evidence, and only then begin the work of interpreting it.

The platform

Three layers, one workforce model.

01 — Understand

What is happening right now?

Live workforce and operational visibility across queues, skills and workstreams — staffing position, service outcomes and the historical comparison that gives them meaning.

  • Queue and skill performance
  • Staffing position against requirement
  • Interval and day-of-week comparison

02 — Analyze

Why did it happen?

Separate the contributing drivers — volume, handle time, capacity — compare groups and periods, and see where the evidence runs out instead of guessing past it.

  • Driver decomposition
  • Group, queue and period comparison
  • Coverage gaps stated, not hidden

03 — Plan

What should happen next?

Forecasting, staffing requirements, scheduling and scenario evaluation working from the same model that produced the diagnosis.

  • Forecast methods an analyst selects
  • Requirement and capacity modeling
  • Scenarios kept apart from actuals

Trust

Numbers should be explainable.

Elaris is being designed so that an important workforce measurement can be traced back to its definition, its inputs, the period it covers, the organizational context it was calculated in, and the method that produced it.

Where the evidence is incomplete, the platform says so rather than rounding the problem away.

Service level TRACE
82.4%
Definition
Contacts answered within 30 seconds ÷ eligible contacts
Selected interval
2026-09-18 · 09:00–12:00 · America/Chicago
Included queues
Billing, Support, Retention — 3 of 4 in group
Eligible contacts
2,664 of 2,711 — 47 excluded as short abandons
Calculation method
Aggregated from interval counts, not averaged across intervals
Data coverage
6 of 6 intervals present

Warning. One queue in this group is excluded because its routing configuration changed mid-period. The figure is correct for the three queues shown.

Illustrative · synthetic data

Where Elaris actually is

Elaris is in active development and is not generally available.

IN DEVELOPMENT

The platform is being built now. There is no public release date, and nothing on this site should be read as a commitment to a particular capability or delivery timeline.

What is described above is the product Elaris is being designed to be. Early access is opening to a small number of workforce teams who want to shape it against real operational problems, and they will see exactly what does and does not work yet.

Built by a workforce management practitioner, for the people doing the work.

Early access is opening to a small number of workforce teams willing to shape the product against real operational problems.

Early access

Request access

Tell us who you are and what you are trying to solve. Elaris will follow up using the work email you provide.

Prefer email? Write to brandon@elariswfm.com.

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