This standard ensures that patterns from failures are systematically analysed and used to guide architectural decisions. It turns operational pain into long-term improvement, enabling teams to invest in resilience where it matters most.
Aligned to our "Post-Incident Learning Culture" policy, this standard promotes smarter design, reduces repeat failures, and supports continuous learning. Without it, teams risk fixing symptoms instead of causes-slowing progress and weakening system reliability.
Level 1 – Initial: Failures are resolved in isolation without identifying patterns or informing architecture. Root causes are often undocumented or revisited multiple times.
Level 2 – Managed: Some teams capture learnings from incidents, but connections to architectural decisions are informal and inconsistent. Improvements are reactive and localised.
Level 3 – Defined: Teams systematically review failure patterns and integrate insights into architectural discussions and planning. Documentation and learning loops are standardised.
Level 4 – Quantitatively Managed: Failure trends are tracked and analysed across systems. Data informs prioritisation of architectural investments, and improvements are monitored for impact.
Level 5 – Optimising: Post-incident learning directly shapes platform and system architecture. Patterns drive long-term resilience strategies, and shared learning prevents recurrence across the organisation.