Quality Assurance Consulting

Quality assurance is a cornerstone of credible and trusted official statistics. In an increasingly complex data ecosystem—characterised by new data sources, partnerships, and methods—quality can no longer be managed solely at the operational level. It must be governed systematically and embedded in leadership, organisational structures, and institutional culture.

ORBICAP supports statistical organisations in strengthening quality assurance as a system-wide governance function. Our approach is grounded in internationally recognised quality principles and focuses on how quality responsibilities are defined, coordinated, monitored, and sustained across the organisation.

Quality is not only about compliance with standards. It is about ensuring that relevance, accuracy, timeliness, accessibility, and coherence are actively managed and transparently communicated, supporting trust among users, decision-makers, and the public.

Key Services:

• Quality assurance frameworks

  Design, review, and refinement of comprehensive quality assurance frameworks aligned with international standards, ensuring clarity of roles, responsibilities, and accountability across the statistical system.

• Quality concept and organisational culture

  Advisory support on embedding the internationally recognised quality components and principles into organisational practices, leadership processes, and decision-making, fostering a shared responsibility for quality.

• Quality monitoring and assessment

  Guidance on the use of monitoring and assessment mechanisms—such as quality indicators, reviews, and reporting—as tools for oversight, learning, and continuous improvement, rather than operational control.

• Risk assessment and mitigation

  Systematic identification and assessment of risks that may affect statistical quality, credibility, or trust, with support in developing mitigation strategies at organisational and process levels.