Catalog
concept#Quality Assurance#Governance#Delivery#Reliability

Quality Management

Systematic approach to planning, controlling and improving products, processes and services to ensure customer satisfaction and compliance.

Quality management is a systematic approach to planning, controlling and continuously improving products, processes and services across an organization.
Established
Medium

Classification

  • Medium
  • Organizational
  • Organizational
  • Intermediate

Technical context

ERP systems for product traceabilityTicket and issue trackers for corrective actionsTest and CI/CD pipelines to automate checks

Principles & goals

Customer focus: needs and satisfaction are central.Process approach: outcomes are driven by defined processes.Continuous improvement: measurements drive targeted improvements.
Iterate
Enterprise, Domain, Team

Use cases & scenarios

Compromises

  • Focus on documentation instead of real quality improvement.
  • Silos between departments hinder holistic actions.
  • Incorrect metrics lead to wrong decisions.
  • Define SMART objectives and review them regularly
  • Make data-driven decisions using valid metrics
  • Involve cross-functional teams in improvement actions

I/O & resources

  • Quality requirements, specifications and standards
  • Process documentation and work instructions
  • Measurement data, inspection reports and audit results
  • Improved process stability and reduced defect rates
  • Certification and compliance evidence
  • Action plans and responsibility assignments

Description

Quality management is a systematic approach to planning, controlling and continuously improving products, processes and services across an organization. It combines strategic directives, operational controls and metrics to ensure customer satisfaction and regulatory compliance. Common practices include process control, audits, KPIs and corrective actions. It applies across teams.

✔

  • Higher customer satisfaction and fewer complaints.
  • Improved traceability and compliance with standards.
  • Systematic identification and reduction of root causes.

✖

  • Success depends strongly on management commitment.
  • May lead to bureaucracy if overly formalized.
  • Requires ongoing measurement and data collection that consumes resources.

  • Defect density

    Number of defects per production unit or lines of code to assess product quality.

  • First pass yield

    Percentage of products/processes meeting requirements without rework.

  • Customer satisfaction (NPS/CSAT)

    Measurement of satisfaction as indicator for perceived quality.

ISO 9001 certification of a manufacturer

A manufacturing company implements processes, documentation and audits to achieve certification.

CI quality gates in a software pipeline

Automated tests and metrics are used as release criteria before deployments.

Hospital quality program

A healthcare provider establishes metrics, audits and trainings to improve patient safety.

1

Analyze current state and define scope

2

Document processes, define metrics and clarify responsibilities

3

Implement controls, audits and measurement systems

4

Establish continuous improvement and monitor effectiveness

⚠️ Technical debt & bottlenecks

  • Outdated process documentation without version control
  • Manual checks instead of automated tests
  • Missing integrated measurement systems causing data fragmentation
Lack of management commitmentInsufficient data qualitySilos and missing cross-functional coordination
  • Using ISO certificate as an end in itself without improving quality
  • Manipulating KPIs to meet management targets
  • Slowing all processes down through excessive controls
  • Unclear responsibilities lead to unimplemented actions
  • Focusing on a few metrics hides other problems
  • Lack of data quality skews decisions
Process analysis and Lean/QI methodsStatistical methods and metrics interpretationAudit skills and risk management
Measurability: meaningful metrics for controlTraceability: documentation of decisions and processesScalability: processes must work as the organization grows
  • • Regulatory requirements and standards
  • • Available personnel and financial resources
  • • Existing legacy processes and IT systems