Financial clarity starts with better forecasting
Most business owners I've worked with make decisions based on last year's numbers and gut feeling. That works until it doesn't. Our approach focuses on building forecasting skills that actually help you see what's coming instead of reacting to what already happened.
Explore our programs
Why forecasting feels harder than it should
The problem isn't your numbers. It's the gap between what traditional courses teach and what actually matters when you're running a business in Australia's economic climate.
The spreadsheet trap
I spent years watching business owners build elaborate forecasting models that looked impressive but told them nothing useful. Hundreds of cells, complex formulas, and at the end they still couldn't answer simple questions about their cash position next quarter.
The issue was never technical ability. These were smart people who understood their businesses deeply. But somewhere between collecting data and making decisions, the process broke down. The numbers became abstract, disconnected from the actual mechanics of how their business generated revenue and consumed resources.
Our framework strips this back to essentials. You learn to identify the three or four variables that genuinely drive your financial outcomes, then build forecasts around those. Not because simplicity is easier (though it is), but because it's actually more accurate when you're dealing with real-world uncertainty.
We work with businesses across Victoria and New South Wales, and the pattern holds regardless of industry. When you focus on understanding causal relationships rather than building perfect models, your forecasts become tools you actually use rather than documents you update quarterly and ignore.
What we focus on instead
Our programs center on practical interpretation skills. You'll spend less time in spreadsheets and more time understanding what your numbers actually mean for upcoming decisions.
Pattern recognition over prediction
Forecasting isn't about predicting the future with precision. It's about recognizing patterns early enough to respond effectively. We teach you to spot the signals that matter in your specific business context, whether that's seasonal fluctuations, supplier pricing trends, or shifts in customer payment behaviour.
Scenario thinking for Australian conditions
The Australian market has particular characteristics that affect how forecasts play out. Interest rate sensitivity, currency movements, seasonal consumer spending patterns. Rather than teaching generic forecasting methods, we help you build scenarios that reflect the actual conditions your business operates within.
Building forecasts that inform actual decisions
The test of any forecast is whether it changes what you do. I've reviewed hundreds of business forecasts over the past decade, and most fail this basic criterion. They sit in folders, get presented at board meetings, then everyone goes back to making decisions the same way they always did.
A good forecast should make you uncomfortable at least once per quarter. If it's not challenging any of your assumptions or surfacing potential issues you hadn't considered, it's just documenting the obvious.
Our approach emphasizes building forecasts around decision points. Before you start modeling anything, identify the actual choices you'll face in the next six to twelve months. Hiring decisions, equipment purchases, pricing changes, expansion timing. Then structure your forecasting process to inform those specific decisions with the level of precision each one requires.
This means different parts of your forecast will have different levels of detail. Cash flow projections for the next eight weeks might be daily and granular. Revenue forecasts for eighteen months out might be quarterly and scenario-based. That's not inconsistency, that's matching your analytical effort to the actual uncertainty and decision timeframes you're working with.
See how we structure thisI'd been doing quarterly forecasts for years but never felt confident in them. The program helped me understand which variables in my business actually have predictive value and which are just noise. My forecasts are simpler now but they're considerably more useful for planning.
What I appreciated most was the focus on Australian business conditions. The examples used actual scenarios we face here, not theoretical cases from overseas markets. It made the learning immediately applicable to how we plan for the year ahead.
Programs starting August 2025
We run intensive workshops throughout the year, typically six weeks with a mix of structured sessions and practical application time. Next intake begins August with spaces for twelve participants.
Get program details