Execution Forecasting Software usually breaks down in the middle of the quarter because the forecasts are based on assumptions that easily collapse when confronted with reality.
Leadership teams make projections about the outcomes based on what they see in the first week of the quarter on capacity, priorities, and pace but then those forecasts disintegrate as workloads shift, dependencies fail to deliver on timelines, and the velocity of execution slowly declines.
This is something that you have probably seen: all seems to be well in week four, then suddenly your revenue target for Q2 is at risk by week nine, and no one can explain when or why the forecast broke down.
This state of affairs is not necessarily because of poor planning. It concerns a fundamental misalignment between the way in which predictions are generated and the manner in which they are implemented.
Your teams are working hard, your dashboards are showing good progress, but the hard work is not moving forward at the pace that was anticipated.
By the time you become aware that your forecast has failed, you are already in a position of being behind, trying to fix the quarter instead of managing it effectively.
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