This standard ensures that product and engineering decisions are grounded in live, reliable data-enabling teams to prioritise effectively, validate assumptions, and adapt with confidence.
Aligned to our "Data-Driven Decision-Making" policy, this standard strengthens accountability, improves responsiveness, and reduces risk. Without it, teams operate on guesswork, slowing progress and increasing the chance of misaligned outcomes.
Clearly defined impacts of meeting this standard include improved delivery flow, reduced risk, higher system resilience, and better alignment to business needs. Over time, teams will see reduced rework, faster time to value, and stronger system integrity.
Level 1 – Initial: Decisions are made based on intuition or isolated data points.
Level 2 – Managed: Teams use some data to support decisions, but access and consistency vary.
Level 3 – Defined: Standardised metrics and data sources guide decisions across teams.
Level 4 – Quantitatively Managed: Teams analyse data trends and adjust priorities and plans accordingly.
Level 5 – Optimising: Data insights continuously inform strategic decision-making at all levels.Teams consistently use data from real systems and usage to inform priorities, validate assumptions, and guide improvements.