... grew Y because of Z, here is what we are doing next" is the headline. OKRs tie strategy to metrics Objectives are aspirational. Key results are measurable, time-bounded, and have an owner. The parts people get wrong: Leading vs lagging. Revenue is lagging. By the time it moves, the decisions that moved it are months old. Pick KRs you can actually move weekly. Qualified pipeline created. Activation rate. Trial-to-paid conversion. Not "annualized revenue." Track where people already ... ... unmanageable at 40. Conversely, building a warehouse with a dedicated data engineer at 30 people is usually premature optimization. Switch when : data lives across more than 3 systems and somebody is spending half their time stitching CSVs together, or cohort