This article explores the challenge of measuring success in digital transformation, arguing that meaningful metrics require business context and clear objectives.

• Measurements lack meaning without context and baseline understanding of potential outcomes
• Digital transformation success depends on company-specific business results, not abstract metrics
• Organizations often lack clear, shared understanding of transformation goals among leaders
• Four categories of business outcomes: revenue impact, cost impact, risk reduction, agility
• Focus on business-level objectives, not just IT metrics, to align teams and drive results
• Measure continuously to support incremental adjustments and improvements
• Technology objectives can be business objectives when technology drives business activities
• Use shared goals between IT and business units to break down silos and align incentives
• Metrics like release frequency and mean time to repair work when nimbleness is primary goal

Success measurement in digital transformation requires defining clear business outcomes first, then measuring progress against those specific objectives to drive continuous improvement and employee motivation.