Scenario planning isn’t intended to forecast the future, nor does it provide predictions.
Its value is in testing ideas which generally fall outside of your company’s control (for example, supply chain disruption due to an environmental or political event) and gives you the opportunity to sound out how you can adjust your operations or processes for the best outcome should the scenario eventuate.
So, what does scenario testing look like in action?
What are some typical real-life business and financial challenges that you can test and apply a range of possible responses to?
Here’s an example:
Challenge: We want to make the right market expansion and development decisions (we can’t afford to get it wrong!).
With what-if planning you may model these scenarios:
- What-if we want to expand into a new market?
- What-if we want to increase market share in one market, retain in another and reduce in a third market?
- What-if we scale up our sales workforce and change their compensation plan (for example, from salary to full or part commission based)?
By using multiple ‘what-if’ scenarios rather than just one, you can determine the best, and lowest risk course of action – one that makes sense financially and operationally.
Challenge: We want to respond more accurately to rolling forecast predictions.
While spreadsheets undoubtedly serve their purpose, they’re not the answer to everything.
For example, when it comes to updating business drivers to determine how Q1 will impact Q4, they definitely won’t deliver. And even testing a small change like the impact of a petrol price rise on your business, can consume hours of your finance team’s time as they labour over a spreadsheet – manually adding variables.
By comparison, an automated planning option enables you to use Q1 actuals and test multiple drivers to have an always-on rolling forecast.
Challenge: How can I improve efficiency for my finance team when reviewing both top-down with bottom-up models and assumptions?
One of the challenges for your team is melding the top-down requirements (growth rate, profitability targets) with bottom-up inputs (raw material costs and transport routes). Generally, these two plans are done in different spreadsheets due to their specific requirements. Result: twice the work, twice the opportunity for error.
An automated scenario-planning tool enables you to bring these two worlds together where you can speculate, test different initiatives, and see how doing something new in one part of the business will affect other parts of the business.