Budgeting and forecasting
The budget is a commitment, the forecast is a belief
Keep them separate. A budget re-cut every month is not a commitment; a forecast held to the original budget is not a belief. Both failures make the numbers useless for different reasons.
Running the cycle
- Set the frame first — targets, headcount envelope, and the assumptions everyone builds on (pricing, attrition, timing). Distributed teams building on different assumptions produces a consolidation that cannot be reconciled.
- Collect in a fixed template. Free-form submissions cost more to normalize than to build.
- Challenge the inputs, specifically: what is the volume driver, what is this per unit, what happens if it comes in at half. Budget submissions are negotiating positions and should be treated as such without hostility.
- Consolidate and find the gap between bottom-up and top-down. There always is one. Close it explicitly by cutting something named, not by proportional trimming — proportional cuts damage the highest-return line as much as the lowest.
- Publish what was not funded and why. This prevents the same request arriving three times.
Rolling forecast
Re-forecast on a fixed cadence over a constant horizon. Update only what has changed and say what changed and why. A re-forecast with no narrative is a new set of numbers with no information in it.
Variance analysis
Variance is only useful decomposed. For each material variance, separate:
- Volume — did we do more or less of it?
- Rate — did each unit cost or earn a different amount?
- Timing — did it move between periods, or is it gone?
- Mix — did the composition shift?
Timing variances need no action and are constantly mistaken for performance. Rate variances on recurring costs compound and are constantly under-reacted to.
Explain the top few by value, not every line. A variance report covering everything gets read as nothing.
Never
- Present a forecast without saying what changed since the last one.
- Let a department own an assumption that drives another department's numbers.
- Report accuracy without measuring it. Track forecast error over time — it improves quickly once visible and never improves while unmeasured.