Our business experiences extreme seasonal demand spikes, which makes our static weekly scorecard targets useless for half of the year. How do we set realistic weekly targets that adjust to our business cycles without constantly changing the scorecard rules?

Question

Tyler Smith · Accepted Answer

If your business experiences significant seasonal fluctuations, static scorecard targets can become highly discouraging during slow months or dangerously unrealistic during peak seasons. To maintain the integrity of your Data Component without constantly changing your scorecard targets, you must implement dynamic targets or rolling averages.

One effective approach is to establish step-up or step-down targets that correspond to your predictable seasonal cycles. For example, if your sales volume historically doubles in the summer, your weekly target for sales calls should increase during those months. These seasonal adjustments must be agreed upon by the leadership team and documented in advance, rather than changed on the fly when a number is missed.

Alternatively, you can track rolling averages instead of static weekly numbers. A rolling four-week or twelve-week average smooths out temporary spikes and dips, giving your leadership team a more accurate view of your actual operational trends.

Whichever method you choose, ensure the target-setting process remains objective and consistent. Your goal is to keep your team focused on traction and accountability. By adapting your targets to the reality of your seasonal cycles, you prevent metric fatigue and keep your scorecard highly actionable year-round.