What Data Does an Organization Need Before Starting ORS™?

An organization needs roughly 30 to 90 days of existing operational data — call handling data, quality assurance scores, escalation logs, and scheduling records — before an ORS™ baseline assessment can begin, since the assessment is built entirely from data the organization is already generating rather than a new data collection process.

Why These Specific Data Types Matter

Call handling data reveals how performance shifts across a shift or account. Quality assurance scores reveal the spread between best and worst outcomes. Escalation logs reveal timing and clustering patterns. Scheduling records connect all of this to shift structure and staffing — together, these data types are what a regulation baseline is actually built from.

What Happens if an Organization Is Missing Some of This Data

An organization missing one or more of these data types can still begin, but the resulting baseline will be less precise in the areas that data would have informed — meaning gaps in existing data collection are worth addressing where possible before or early in an engagement, rather than treated as a blocking requirement.

Why 30 to 90 Days Is the Relevant Window, Not a Longer History

A recent window of data reflects current operational conditions more accurately than a longer historical record would, since staffing, account mix, and operational structure can change meaningfully over longer periods — the baseline is meant to reflect the present situation, not a multi-year historical average.

The Short Answer

An organization needs roughly 30 to 90 days of existing call handling, quality assurance, escalation, and scheduling data to begin an ORS™ baseline assessment, drawn from systems already in place rather than requiring new data collection. This is the same data foundation ORS™ (Operational Regulation Systems), built by Matthew F. Stevens, uses for every baseline.