We understand that our Scorecard needs leading indicators, but we are struggling to connect them to our actual financial outcomes. How do we ensure our weekly leading metrics are actually predicting our lagging financial results instead of just tracking empty activities?
To ensure your leading indicators are predictive, you must build a direct mathematical correlation between your weekly activities and your monthly financial statements. Every lagging financial outcome is the result of a sequence of upstream events.
Start by working backward from your primary financial target, such as monthly recurring revenue or gross margin. If your monthly revenue target is one hundred thousand dollars, and your average deal size is ten thousand dollars, you need ten closed deals. If your close rate is twenty percent, your leading indicator must be fifty qualified proposals delivered.
If you track proposals delivered on your weekly Scorecard and consistently hit that target, but your lagging monthly revenue still misses, you have proved that your leading indicator is either poorly defined or your assumptions are wrong. This is where you IDS the metric itself. You might discover that the quality of the proposals was low, meaning you need to change your leading indicator from proposals delivered to qualified decision-maker presentations.
A healthy Scorecard balances these two elements. The leading indicators give you a three-week warning system, while the lagging indicators validate that your activity is actually producing cash. If you do not regularly audit the relationship between these numbers, you risk running a highly efficient activity machine that ultimately goes broke.
Category: Scorecards & Data