We can't forecast accurately

By
Mukund Kabra

When teams say "We can't forecast accurately", it usually means the system that should drive decisions is unclear or untrusted. Install cadence, ownership, and prioritization rules so the team ships fewer things, faster, and learns on purpose.

Category:
Execution
Reading time:
2
min read
Published on:
January 24, 2026

We can't forecast accurately

Problem isn't ambition, it's predictability. Without accurate forecasts, you can't plan hiring, budget efficiently, or invest with confidence. Every number feels provisional, and every decision carries risk you can't quantify.

Problem

When you can't forecast accurately, you lose the ability to make confident tradeoffs. Eventually teams stop experimenting because the overhead is high and the learning is low, so decisions revert to gut feel. The organization starts rewarding activity instead of outcomes, which makes it harder to say no, and harder to learn from what you shipped. Because there is no shared cadence and ownership, initiatives slip across teams, and the handoffs create delays that look like capacity problems. The longer it stays unresolved, the more expensive it becomes to unwind.

Insight

Inaccurate forecasting isn't about bad math, it's about broken systems. Most companies forecast using isolated data sources, marketing looks at pipeline, product looks at retention, finance looks at revenue, but they're all modeling different realities. Without a unified view of how acquisition, conversion, and churn interact, forecasts become linear guesses in a nonlinear system. The deeper issue is that most models treat growth as static when it's dynamic. User behavior shifts, markets fluctuate, and feedback loops compound outcomes in ways spreadsheets can't capture. Forecasting gets accurate only when you understand the mechanisms behind your metrics, not just the numbers themselves.

How Velocity Approaches It

We help companies build forecasting systems grounded in how their growth engine actually works. Velocity starts by mapping the full journey, from acquisition to retention to revenue, and connecting it to real performance data. We identify the key inputs that truly move the numbers, then rebuild your model around dynamic relationships, not assumptions. That means creating live models that update with actual behavior, not static plans that age by week two. Once the system is clear, finance, product, and marketing can all plan off the same forecast with shared confidence. If you're done guessing what next quarter looks like, we'll help you forecast growth you can finally trust.

Tags:  
Growth Team Structure; Growth Roles; Team Design; cross-functional Teams; Accountability Systems; decision-making Process

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