Lead Measure Evaluation
Evaluate lead measures for effectiveness
The Lead Measure Evaluation is a framework for evaluating lead measures for effectiveness. It involves assessing whether the lead measure is moving the lag measure, and whether the lead measure is predictive and causal.
- Lead measures should be predictive and causal.
- Lead measures should be evaluated regularly for effectiveness.
- Lead measures should be adjusted or changed if they are not effective.
- Assess Lead Measure EffectivenessAssess whether the lead measure is moving the lag measure, and whether the lead measure is predictive and causal.Pro tipUse data and metrics to evaluate lead measure effectiveness.WarningAvoid relying solely on intuition or anecdotal evidence when evaluating lead measure effectiveness.
- Evaluate Lead Measure PredictivenessEvaluate whether the lead measure is predictive of the lag measure, and whether it is causal.Pro tipUse statistical analysis and modeling to evaluate lead measure predictiveness.WarningAvoid assuming that a lead measure is predictive or causal without evidence.
- Adjust or Change Lead MeasureAdjust or change the lead measure if it is not effective, or if it is not predictive or causal.Pro tipUse a systematic and data-driven approach to adjust or change the lead measure.WarningAvoid making changes to the lead measure without a clear understanding of its effectiveness and predictiveness.
Evaluating Lead Measure Effectiveness
A team evaluates the effectiveness of their lead measure, and finds that it is not moving the lag measure.
OutcomeThe team adjusts the lead measure, and experiences improved goal achievement.
Adjusting Lead Measure
A team adjusts their lead measure, and finds that it is more predictive and causal of the lag measure.
OutcomeThe team experiences improved goal achievement, and is able to make more informed decisions.
Failing to Evaluate Lead Measure Effectiveness
Failing to evaluate lead measure effectiveness can lead to ineffective or inefficient use of resources.
Assuming Lead Measure Predictiveness
Assuming that a lead measure is predictive or causal without evidence can lead to ineffective or inefficient use of resources.
Failing to Adjust or Change Lead Measure
Failing to adjust or change the lead measure if it is not effective can lead to ineffective or inefficient use of resources.
The Lead Measure Evaluation was developed as part of the 4 Disciplines of Execution (4DX) framework, which is a set of principles and practices for achieving goals and strategies in a team or organization.
Source · BOOK
Covey, Sean - The 4 Disciplines of Execution