Metric specification
Document agreed definitions for SLA, AHT, abandonment, volume, and other KPIs that your managers actually use.
SAGEPOINT ANALYTICS · SERVICES
Queue metrics, CRM outcomes, and quality data sit in different exports. We build an operational view that helps supervisors explain changes and act on the same agreed definitions.
The problem
An attractive contact center dashboard is only useful when its metrics match the way your operation actually runs. We define the denominator, queue scope, time zone, and data freshness before turning a chart into a management decision.
What you get
We work on top of your existing contact center, CRM, and reporting systems. The result can use Power BI, Looker Studio, or another appropriate reporting layer; we are building measurement and decision support, not replacing the platform that handles calls.
Document agreed definitions for SLA, AHT, abandonment, volume, and other KPIs that your managers actually use.
Map ACD, CRM, and available QA exports, then identify missing records, timing differences, and incompatible identifiers.
Create views by queue, interval, program, and agent where the underlying data supports them.
Define a feasible update cadence and surface late or incomplete source data before it misleads a supervisor.
Provide data definitions, access guidance, review rounds, and training for the people who will use the view.
How it works
A free 30–45 minute assessment covers decisions, sample exports, current reports, and the teams that will use them.
We propose a defined scope with sources, metrics, access, review rounds, deliverables, and an agreed schedule.
We build the data model and views, reconcile them against source totals, and review the interpretation with your operations team.
We hand over documentation and training. Ongoing support starts at US$300/month if you need later adjustments.
Published case
Multi-client BPO operator: the published case describes daily consolidation across fourteen telephony and CRM systems. SLA compliance moved from about 81% to over 99%, and the workflow freed more than 25 supervisor hours per week. The dashboard work is grounded in reconciled operational data, not a generic template.
See published cases →Package fit
Data Assessment (US$750, 2 weeks) helps when metric definitions and source quality need discovery. Executive Cockpit starts at US$2,500 for a scoped dashboard build. Control Room starts at US$12,000 for wider integrations; the right package depends on your sources and deliverables.
Compare packages →FAQ
Start with measures tied to decisions: demand, service level, abandonment, handling time, and a quality or outcome measure where available. We agree on definitions and queue scope with your managers before deciding which charts belong in the first view.
Often, if exports or authorized connections are available and records can be matched reliably. We inspect sample data, identifiers, permissions, and refresh limits before committing to a combined view.
The thresholds and exclusions should reflect your operating agreements. We document each formula, eligible interactions, time window, and queue mapping so comparisons do not silently mix different definitions.
Historical reporting is usually feasible from retained exports. A live view depends on your platform access, API limits, and required latency; we confirm the achievable cadence during scoping rather than promise real-time data.
No. We build reporting from your existing systems where access and data quality allow. If a needed measure cannot be produced from those sources, we identify that gap in the proposal.
Related services
Each client expects a different cut of the same operational data, while your analysts reconcile exports by hand. We turn those agreed reporting obligations into a controlled, repeatable workflow.
Explore service →Bring a current report or workflow example. We will review sources, decisions, and exceptions before proposing a useful scope.