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Libby Marks

A Guide to Rolling Forecasts in Resource Management

Common in financial planning, rolling forecasts are also an essential tool in resource management. Here’s what you need to know.

Rolling forecasts are essential in resource management – if you want to make well-informed business decisions based on the latest data. And who doesn’t want to do that?

Rolling forecasts differ from traditional forecasts because they’re updated continuously. This means decision-makers respond to current market conditions – not the state of the market when the forecast was first written. 

In a dynamic landscape like project management and professional services, resource planning based on information from who-knows-however-many-quarters-ago just won’t cut it.

That’s why rolling forecasts are a must for resource managers - and in this guide, I'll be showing you why. And once you know why, you'll be wanting to understand how you can create one for your context. So, I'll be digging into that, too. Let's get stuck in!

What is a rolling forecast?

To understand a rolling forecast, you first need to understand what a forecast is. A forecast is a predictive tool that businesses use to anticipate future business conditions and make better-informed decisions. 

It uses information – like historical data, current performance, and projections – to predict what the next 12 months will look like. The aim is to help business leaders make decisions based on best estimates rather than pure guesswork. I'm sure I don't need to tell you how vital this is in resource management!

(Want to learn more about forecasting in resource management? We have a whole webinar on the topic ➡️)

There are two types of business forecasts – static and rolling. 

  • Static forecast – Runs for a fixed period – say, April to April – and counts down to a fixed end date. When the forecast ends, it’s replaced with a new static forecast. 
  • Rolling forecast – Runs continuously and updates regularly – say monthly. As a new month of data is added to the forecast, a month is added to the forecast horizon – eg April to April, then May to May.

Given the goals of a forecast – to facilitate better business decision-making – a rolling forecast is highly beneficial compared to a static one, especially in fast-moving sectors.

A rolling forecast updates regularly to reflect the latest data available, capturing shifts in demand or market trends. This helps leaders make more timely, informed decisions that are based on current conditions – rather than relying on outdated assumptions.

As such, a rolling forecast provides the up-to-date information that leaders need for confident business decisions.

Static vs rolling forecasts: What’s the difference?

How can resource managers use rolling forecasts?

Resource managers can use rolling forecasts to improve their resource allocations, plan capacity better, and support workforce planning

Since rolling forecasts update continuously, they offer a dynamic, real-time view of resource needs, helping managers stay agile in a fast-moving environment.

A resource manager’s rolling forecast might include:

  • An overview of projects in progress and in the pipeline
  • Information on current resources and skill availability
  • Rolling capacity and utilization rates
  • Overview of resource allocations 
  • And more

When the forecast updates, new information is added. Such as changes to staff levels, new projects entering the pipeline, and other projects being completed. 

With this information at their fingertips, resource managers can use rolling forecasts to: 

  • Adjust resource allocations – As projects evolve, managers can adjust staffing levels and improve resource forecasting. If a project requires more staff or skills, the forecast is updated to reflect this need.
  • Plan for new clients – When new clients or projects are acquired, rolling forecasts allow managers to plan for additional resources, ensuring staffing levels are aligned with demand.
  • Optimize workloads – By tracking employee utilization rates, rolling forecasts help prevent overworking or underutilizing staff by allowing adjustments across projects.
  • Support workforce development – A rolling forecast can identify upcoming skill requirements in advance, enabling proactive training or recruitment efforts.
  • Respond to changing priorities – Rolling forecasts allow managers to adjust resource allocation in response to changing market conditions, client demands, or strategic objectives.

By referring to a rolling forecast – rather than a static one – resource managers can ensure their resourcing decisions are effective, proactive, and strategic. 

Three benefits of implementing a rolling forecast in resource management

The benefits of rolling forecasts in resource management are the same as the benefits of resource management itself. They just support the process better than more static sources of information. Some of the top benefits are:

Proactive workforce planning

Rolling forecasts let organizations anticipate future workforce needs based on changing business conditions. This means:

Read more about capacity management and effective capacity planning strategies.

Enhanced agility and adaptability 

Rolling forecasts let organizations respond quickly to market fluctuations or unexpected challenges. By adopting a rolling forecast, companies make their planning process more flexible, letting them adapt more readily to changing market conditions and evolving project needs.

Cost control 

By constantly monitoring and updating forecasts, companies can spot potential cost overruns early, ensuring that resources are being used within budget and adjusting as necessary. Rolling forecasts also help avoid unnecessary costs associated with last-minute resourcing and project overruns.

Implementing a rolling forecast in resource management: an example

Imagine you are a resource manager in a consulting firm. You set up an initial 12-month forecast. Then, every month, it is updated to include new project wins, major changes in project scope or schedule, changes in the workforce, etc. 

Looking at the forecast, you see a new client has been onboarded and their project will need 10 additional consultants in three months. This insight lets you initiate the recruitment process with HR. 

Having this information in good time means the gap can be filled with permanent staff recruited through the usual channels rather than reactively hiring consultants last minute, at a higher cost.

On the flipside, if a forecast reveals reduced demand, the firm can manage that scenario too – for example, retraining and redeploying resources that are in lower demand, to avoid the need for costly layoffs

How to implement a rolling forecast for resource management: step-by-step

Now you know the benefits of creating a rolling resource forecast, you’ll want to know how to do it. We’ve got you covered.

1. Define the forecast scope

The first step is to define the scope of your forecast. That includes:

  • The information you want it to include 
  • The time horizon (e.g. is it a 6 or 12-month rolling forecast, or longer?)
  • The frequency of the updates (e.g. monthly, quarterly)

To be useful for resource planning and management needs, you’ll need to include information like staffing levels, full-time equivalent (FTE) needs, utilization rates, turnover, etc. 

2. Collect and analyze data

Next, gather relevant historical data to populate your initial forecast. Look for stats on staffing levels, client demand, and project numbers.

  • Staffing levels – How many employees have you had in different roles in the past year?
  • Client demand – How many projects or billable hours did you secure, and what was the trend?
  • Employee turnover – What are the typical turnover rates for your organization, and how might these change seasonally or due to external factors?
  • Project pipeline – What future projects are in the pipeline, and how do they impact staffing needs?

In addition – and this is probably the hardest part – look at external factors and consider how they might impact your business over the next year. This will enhance your forecasting accuracy

  • Economic factors – Like recession risks or industry growth.
  • Seasonal fluctuations – Industry-specific seasons (like holiday sales or tax season) that could impact workload and staffing needs.
  • Workforce trends – Such as skills shortages or the growth of availability of contingent workers.
  • Competitor behavior – And how it might impact market demand and talent supply.

3. Develop assumptions

Next, it’s time for some educated assumptions on how business will unfold over the forecast period. These are past averages that help predict the future 🔮

  • Average billable hours per employee – How many hours does an average employee typically work, and how much of that is billable?
  • Expected turnover rates – What is your typical employee turnover rate, and are there specific factors (such as the economy) that could affect it?
  • Client acquisition rates – What is the expected rate of new clients or projects, and how might this influence your workforce needs.

It’s important to remember that these need updating during your rolling forecast. If you acquire more clients than usual – or if staff turnover increases – update your forecast and assumptions to reflect this. 

4. Choose methodologies and tools

Equipped with your assumptions, you can begin forecasting. But how will you do it? Common methodologies include:

  • Regression analysis – A statistical method used to identify the relationship between variables, helping predict future workforce needs based on historical data.
  • Time-series forecasting – This method uses historical data points, typically ordered by time, to predict future trends based on past patterns.
  • Scenario planning – A technique where you create multiple forecasts based on different possible future scenarios. This helps assess the impact of uncertainty on resource needs.
  • Machine learning models – Use algorithms to analyze data and identify complex patterns. 

Life will be much easier if you have access to resource management software, as it contains the historical data you need and predictive models you need to automatically create forecasts, and adjust them in real-time. 

However, some businesses build their rolling forecasts in spreadsheets and update them manually – though this is obviously more time-consuming and prone to human error.

Rolling capacity forecast in Runn

6. Update the rolling forecast regularly 

Once your forecast is set up, you’ll need to update it according to your schedule – that’s the rolling part. Each month – or whatever frequency you selected – update the forecast with new information. 

  • Recent project wins – Have you secured new clients or projects that impact staffing needs?
  • Employee turnover – Are turnover rates higher or lower than expected?
  • Client demand – Are clients increasing or reducing their demand

Adjusting your forecast with real-time data is essential for dynamic resource planning that reflects the current reality of your business landscape.  

7. Set KPIs for your rolling forecast 

It isn’t enough to set up a rolling forecast and update it. You need to monitor whether your forecast is accurate and delivering improved business outcomes. Establish KPIs for your rolling forecast, and use variance analysis to determine your forecasting accuracy, eg:

  • Forecast v.s. actual resource usage
  • Forecast v.s. actual schedule adherence
  • Forecast v.s. actual budget alignment, etc.

This will ensure your rolling forecast planning process is effective or identify any room for improvement.  

Get on a roll with Runn

Rolling forecasts help dynamic businesses make better decisions and stay ahead of their fast-moving market. For resource managers, it’s a must-have to support better resource utilization, capacity planning, and workforce development. 

If you don’t fancy fussing with spreadsheets and manual calculations, Runn creates automatic rolling forecasts, so you can accurately forecast without the hassle. 

Learn more about forecasting in Runn ➡️

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