When 1% Changes Become $2M Decisions.

A session at SWPP with Damon Spurlock from Fabletics on how small assumption changes can force real decisions before their impact is fully visible.

At SWPP, the conversation shifted quickly away from forecasting accuracy and toward something more practical: how decisions are made as assumptions begin to change.

Teams are increasingly being asked to evaluate questions such as whether hiring can be delayed, what the true cost of a higher service level might be, or how sensitive current plans are to small changes in demand or handling time. These are not questions about reporting on outcomes. They are questions about making decisions under uncertainty, and in many cases, the answers are not immediately clear.

The Gap is How Quickly Impact Can Be Understood

Many organizations already recognize that plans will drift as conditions evolve. Demand changes, assumptions shift, and operational realities rarely unfold exactly as expected.

What is less clear, and often more difficult to manage, is how quickly those changes can be understood in practice. When an assumption moves, even slightly, the implications for staffing, cost, and service are not always immediately visible or easily quantified.

As a result, decisions are often made before those implications are fully understood, not because data is missing, but because the connection between change and impact has not yet been established.

When Small Changes Begin to Interact

A simple example illustrates this point. In a contact center of approximately 1,500 agents, a 1% increase in volume, a 5-second increase in average handling time, and a 1% increase in shrinkage may each appear manageable on their own. However, when these changes occur together, the impact becomes more significant.

In this scenario, the combined effect can result in:

• an additional requirement of approximately 35 FTE

• an incremental cost of roughly $2 million

• a noticeable decline in service level

• a measurable increase in response times

None of the individual inputs are extreme, yet the interaction between them produces a meaningful operational and financial shift.

The implication is not that forecasts are inherently flawed, but that relatively small movements in key assumptions can combine in ways that are difficult to anticipate without deliberate evaluation.

This is the point where planning teams are asked to respond quickly, often without being able to quantify the full impact.

The Fabletics Story: From Scenario Testing to Real Decisions

At Fabletics, the challenge was not demand variability. It was the ability to compare staffing options with confidence.

Rather than relying on a single plan, the team tested multiple scenarios across shift structure, geography, and channel mix. This made it possible to isolate what was actually changing, and to see how those changes affected service, staffing, and cost.

In one case, adjusting the structure of global staffing, while holding other assumptions constant, resulted in measurable differences in annual cost. The impact was not driven by one large decision, but by how smaller choices interacted.

The shift was straightforward. Decisions were evaluated before committing, not explained after results appeared.

What Differentiates High-Performing Teams

Organizations that navigate this more effectively tend to approach planning differently. Rather than focusing primarily on improving forecast precision, they focus on understanding how changes in assumptions affect outcomes, and doing so early enough to act.

This means using scenarios to evaluate decisions before they are made, revisiting assumptions continuously, and making trade-offs across cost, service, and workforce explicit. Planning becomes less about arriving at a single answer, and more about understanding a range of outcomes before committing to one.

This shift is subtle in description, but significant in practice. It changes not only the outputs of planning, but also the timing and quality of decisions.

From Explaining Outcomes to Evaluating Trade-Offs

In contrast, in many environments, planning is still used primarily to explain variance after results have begun to diverge from expectations. Teams analyze what has changed, identify contributing factors, and respond accordingly.

However, by the time these discussions occur, the underlying conditions have already shifted. Decisions are made under increased time pressure, and the range of available options is often narrower.

Stronger planning environments move this conversation earlier. Instead of focusing on why something has already happened, they examine how potential changes could affect outcomes before those changes fully materialize. This allows leaders to evaluate trade-offs in a more deliberate way, rather than responding to them after the fact.

The Takeaway

Workforce planning is not solely a question of being right. It is a question of understanding how changes in assumptions will affect outcomes, and being able to evaluate those effects before committing to a decision.

The organizations that perform well in this context are not necessarily those with the most accurate forecasts, but those that can interpret change quickly, quantify its impact, and respond while options still exist.

Because by the time the impact of a change is visible in results, many of the most important decisions have already been made.

Where to begin

If these questions are difficult to answer quickly in your current planning environment:

• If a key assumption changed by 1%, could you quantify the impact on staffing or cost? 

• How quickly could you evaluate that scenario? 

• Would Operations and Finance arrive at the same conclusion? 

Then the challenge is not the plan itself, but the visibility into how decisions affect outcomes.

If you are unsure where to start, reach out and tell us which assumption you trust the least. We can walk through how it might change your plan, and how quickly those implications could be understood.