Tag Archive for: forecast

When Driver Trees Collapse Under Pressure

The quiet fragility of FP&A’s favorite tool. Why Driver-Based Forecasting Fails in FP&A Every finance leader preaches driver-based planning. It’s elegant: revenue linked to sales capacity, churn tied to retention, headcount driving operating expenses. But the moment volatility hits — a market downturn, a hiring freeze, or a sudden churn spike — those neat branches […]

4 Signs Your FP&A Team Is Drowning in “Scenario Theater”

Every CFO says they want “more scenarios.”Best case. Base case. Downside case. But here’s the truth: most FP&A teams aren’t running scenarios. They’re performing them. Like a stage play where the ending never changes. These are the four biggest signs you’re stuck in scenario theater: 1. Every Case Looks Like the Base Case If your […]

9 Hidden Breakpoints in SaaS Financial Models That Sabotage Forecast Accuracy

What Are the Hidden Breakpoints in SaaS Financial Models? Most SaaS forecasts don’t implode because of bad math—they fail because of unmodeled breakpoints. The model looks clean. The CAC slide works. Revenue curves are up and to the right. But behind the scenes, timing mismatches, behavioral drift, and structural lag quietly unseat the logic. These […]

7 Forecasting Errors SaaS Founders Make Before Hiring a CFO

What Are the Most Common Forecasting Errors SaaS Founders Make? SaaS forecasts rarely collapse from bad spreadsheets. They collapse because the inputs—the ones everyone thought were obvious—don’t hold up. Before a CFO joins, founders are left to translate strategy into numbers. The problem isn’t ambition—it’s blind spots. Revenue gets pulled forward. Cost lags get ignored. […]

8 Operational Assumptions That Break SaaS Financial Models

Why Operational Assumptions in SaaS Financial Modeling Break Forecasts Most SaaS forecasts fail before they begin—not because of bad math, but because of unexamined operational assumptions. The model isn’t broken. It’s just blind. We assume reps ramp in 90 days. That onboarding is uniform. That conversion rates scale with pipeline volume. These inputs feel safe […]

6 Capacity Planning Metrics for SaaS FP&A Teams That Want Accurate Forecasts

Why SaaS Forecasts Keep Breaking (And What Capacity Has to Do With It) Most SaaS forecasts don’t fail because of bad math. They fail because the business was never actually able to deliver what finance modeled. We track bookings, churn, CAC, and burn. But we rarely track whether teams can handle the volume of work […]

7 Non-Financial Drivers of SaaS Forecast Failure (And How to Model Them)

Why Financial Models Break (Before the Numbers Do) Most forecasts don’t fail because your CAC was off by 2%. They fail because something nobody tracked—like late enablement, internal misalignment, or approval drag—slowed the business without ever touching the model. Traditional FP&A focuses on cost, margin, and bookings velocity. But SaaS companies don’t move in straight […]

9 Workflow Metrics SaaS FP&A Teams Should Track to Avoid Forecast Failures

Finance doesn’t just report numbers anymore—we model behavior. And yet, most SaaS FP&A teams still rely on static forecasts that ignore how long decisions actually take. Forecasts assume motion. But workflows define speed. Here’s the problem: our financial plans depend on workflows we don’t track. We plan headcount without modeling ramp time. We forecast bookings […]

8 Signs Your SaaS Forecast Is Just a Fancy Guess (Not a Real Strategy)

Every SaaS company has a forecast.But very few have a SaaS forecasting strategy. There’s a difference. A real forecast guides hiring, unlocks budget, and tells your board what’s coming before the spreadsheet breaks. A fake one is just math-washed optimism—numbers built to match the plan, not the pipeline. So how do you know which one […]