While engineering teams have DORA metrics, business teams have DIEGO metrics. Measure what actually drives results, not just activity.
Companies are seeing 300% increases in AI-generated output but flat revenues. Traditional metrics can't distinguish between activity and impact.
Measuring hours worked, meetings attended, and emails sent while missing actual business value creation.
AI generates high-volume output that inflates traditional metrics without creating proportional business impact.
Teams appear "busy" while critical decisions stall and execution velocity decreases across the organisation.
Five metrics that separate AI theatre from business impact, giving executives clear visibility into what drives results.
Velocity and quality of decision-making processes across the organisation.
Business outcomes and value creation versus activity volume and busy work.
Speed from decision to measurable results and implementation effectiveness.
Capability building, knowledge transfer, and organisational scaling efficiency.
Focus time, collaboration quality, and resource utilisation optimisation.
Evidence-based research on productivity measurement failures and the AI productivity illusion.
Based on analysis of productivity patterns across industries
Faster decision velocity
Improved execution speed
Better resource utilisation
Reduction in meeting overhead
Download the complete DIEGO framework and assess your organisation's productivity measurement maturity.