Quality must be defined, measured and reviewed.

01 / Define

Define acceptance before production

Agree on acceptable outputs, error categories and exception handling before work begins.

• Task guidelines and examples
• Output formats and validation rules
• Error categories and severity
• Review and escalation
• Rework and rejection rules

02 / Measure

Measure the right outcomes

Depending on the workflow, measures may include:

• Output acceptance rate
• Error rate by category
• Rework rate
• Reviewer agreement
• Throughput and turnaround
• Cost per accepted output

Methods and targets are agreed before the pilot.

03 / Prepare

Prepare contributors for the task

Training must reflect actual work. Completing a course alone does not establish readiness.

• Representative examples and test tasks
• Defined scoring rules and pass threshold
• Review instructions when requirements change

04 / Resolve

Handle exceptions consistently

Establish procedures for escalation, adjudication, correction and feedback to identify recurring errors and address their causes.

05 / Govern

Data handling and governance

Each engagement must define data access, retention, confidentiality, security and applicable regulatory requirements. Controls are documented for the agreed scope and actual operating arrangements.