I treat quality assurance as an operating discipline that turns customer interactions into measurable evidence, calibrated decisions, targeted coaching, knowledge improvements, and process change.
Applied as part of practical systems, workflows, and portfolio case studies.
Applied as part of practical systems, workflows, and portfolio case studies.
Applied as part of practical systems, workflows, and portfolio case studies.
Applied as part of practical systems, workflows, and portfolio case studies.
Applied as part of practical systems, workflows, and portfolio case studies.
Applied as part of practical systems, workflows, and portfolio case studies.
Establish customer, compliance, process, and performance outcomes before writing scorecard questions.
Use risk-based sampling, manual review, automated interaction signals, and critical-error controls.
Align evaluators and leaders on evidence, scoring logic, exceptions, and dispute resolution.
Convert findings into coaching, training, knowledge, workflow, and product actions with follow-up measurement.
A full quality operating model covering scorecard design, sampling, calibration, coaching, dispute handling, reporting, governance, and the connection between quality findings and operational change.
Two Amazon Connect operating models connecting customer channels, Salesforce data, case management, dedicated support knowledge, agent assistance, QA, workforce management, reporting, and cost modeling.
A support-operations workspace that helps managers decide what to work on first through risk-based prioritization, explainable recommendations, predicted impact, and guided resolution workflows.