Sampling risk
A small reviewed subset can miss repeatable process failures and channel-specific drift.
For Operations & Quality leaders
Turn quality from a sample into an operating loop.
Define the eligible population, preserve audit evidence, reconcile missed work, and connect recurring findings to coaching and leadership decisions.
- Built for
- Quality heads, support operations, and process owners
- Answers
- How do we increase quality coverage without losing explanation and control?
01 Coverage and score 02 Pipeline health Quality operations
Sampling hides patterns. Automation without calibration hides mistakes.
The operating model must make eligibility, evidence, scorecard version, findings, and review context visible together.
Calibration risk
Automated scoring requires version ownership, evidence review, and human operating controls.
Action gap
Findings create value only when coaching and process changes can be followed through.
Mechanism
An evidence-first quality cadence
Scope
Define sources, eligibility, scorecard, criteria, and the denominator.
Evaluate
Audit eligible work and preserve criterion-level rationale and evidence.
Review
Inspect findings, missed audits, calibration context, and channel patterns.
Improve
Route coaching and material process drift to the responsible operating role.
Operational control
What the Quality team continues to own
OpenOS expands evidence and coverage; it does not remove policy ownership or professional judgment.
Scorecard policy
Quality leaders define what good support means and when a scorecard version changes.
Eligibility
Teams decide which sources and interaction states enter the audit population.
Calibration
Evidence and rationale support review, disagreement handling, and model/process adjustment.
Intervention
Coaching and process owners decide what change is required and how success will be measured.
Operating review
One weekly review can move from coverage to action.
Illustrative workflow using demonstration dataWhat percentage of the configured eligible population completed an audit?
Which criteria, intents, channels, or teams show repeated material failures?
Which coaching or process work has a named assignee and due date?
Did the selected quality or repeat-contact measure change after intervention?
Measures
Define success before the workflow changes.
Eligible audit coverage
Completed audits divided by configured eligible interactions.
Finding recurrence
Repeated material findings by criterion, intent, channel, queue, or team.
Coaching follow-through
Owned coaching work completed within its defined operating window.
Direct answers
What buyers ask next.
Does OpenOS remove manual QA?
No. It changes where human effort is used: scorecard ownership, calibration, evidence review, exceptions, coaching, and process decisions remain essential.
Can we import historical interactions?
Supported controlled imports and ingestion contracts can bring selected chat, email, and audio data into the Quality workflow.
Tailored walkthrough
Bring one support workflow. Leave with a clear first loop.
A tailored walkthrough for Support/CX, operations, and technology leaders—using your channels, responsibilities, and success measures.
- 01Your current loopChannels, systems, volume, and the operational gap.
- 02The product proofResolve, escalate, audit, and decide in one scenario.
- 03A scoped first deploymentOne workflow with explicit evidence and success measures.
Prefer email? sales@openost.com