We have been tracking our weekly Scorecard for over a year now, but we only look at the current week's numbers during our Level 10 Meeting. How do we use our historical Scorecard data to identify quarterly or seasonal trends before they become emergencies?
Looking only at the current week of your Scorecard is like staring at a single frame of a movie. You miss the plot. To truly run your business on data, you must analyze the thirteen-week and multi-quarter trends hiding in your historical numbers.
At the end of every quarter, dedicate time during your quarterly meeting to review your historical Scorecard data. Look for patterns. For example, you might notice that lead generation drops every November, or client support tickets spike every July. Recognizing these seasonal trends allows you to proactively adjust your targets and resource capacity ahead of time, rather than reacting to a red metric in panic.
You should also look for rolling averages. A single red week might just be an anomaly, but a four-week rolling average that is steadily declining is a clear warning sign of a systemic issue. If your customer satisfaction rating drops slightly each week for a month, you have a process or training issue that needs to be IDSed.
Train your leadership team to look at the trend line, not just the color of the box. A green number that has been dropping for three weeks is far more dangerous than a red number that is rapidly climbing toward its target. Use your historical data to move from weekly firefighting to strategic forecasting.
Category: Scorecards & Data