Recently Updated
Back Office OutsourcingQuality Assurance — Philippines

Quality Assurance BPOs in the Philippines

The Philippines is a popular destination for contact centre call quality outsourcing and back office QA programs. Strong English proficiency, familiarity with Australian service standards and well-established QA methodology make Philippines-based QA teams effective at call monitoring, data quality checking and process adherence verification — at 50–70% lower cost than equivalent onshore roles.

Best for: contact centre call quality monitoring, data entry QA, process adherence checking and back office quality programs for non-regulated material.

WHY THE PHILIPPINES FOR QA
💰

50–70% cost savings

🗣️

Strong English for call quality

📊

Established QA methodology

🇦🇺

Familiar with Australian standards

QA Work Philippines Teams Handle Well

Philippines QA teams are particularly effective at structured, criteria-based quality checking with clear scoring frameworks.

  • Contact centre call quality monitoring and scoring
  • Data entry accuracy checking and error reporting
  • Process adherence verification against SOPs
  • Document and form quality checking
  • Chat and email interaction quality assessment
  • QA sampling programs with statistical reporting
  • Back office workflow quality auditing
  • First call resolution and compliance checking

Building an Effective Offshore QA Program

QA outsourcing delivers best results when the framework is designed by your team and executed by the offshore provider.

📋 Define your quality criteria

QA scorecards, weighting, pass/fail thresholds and escalation criteria must be designed by your team before offshore QA begins. Don't ask an offshore provider to define what quality means for your business.

🔄 Calibrate regularly

Regular calibration sessions between your team and the offshore QA team ensure consistent scoring and prevent criteria drift. Monthly calibration is the minimum; weekly is better during ramp-up.

📊 Act on the data

QA outsourcing generates data — quality improvement requires someone on your side to review trends, identify coaching opportunities and feed findings back into training and process design.

Related Resources