Which quality makes a Lead Measure effective?

An effective Lead Measure is characterized primarily by its ability to be predictive of achieving the goal. This means that a Lead Measure serves as an indicator of future performance or outcomes, allowing teams to focus on activities that will drive results. By concentrating on metrics that can proactively influence the end objectives, organizations can take strategic actions and make adjustments before the final results come in.

For instance, if a team wants to increase sales, a Lead Measure might be the number of customer interactions or demos conducted, which has a direct correlation with sales outcomes. The predictive nature of Lead Measures enables teams to forecast and adjust tactics in real-time, enhancing their chances of success.

In contrast, retrospective measures look at past performance and do not provide guidance for future action. Easily manipulated measures can lead to misleading insights, undermining the effectiveness of strategies. Lastly, Lead Measures that require little team engagement may not drive the necessary effort or commitment from team members, making it less effective in reaching the desired goals.