It is forecasting built entirely on “if this, then this.” If you make a decision, like a hire or a campaign, then specific revenue and cost drivers move. You model that link up front, then variance analysis checks whether the numbers actually moved the way you predicted. That check is the feedback loop that makes every next forecast sharper.
You do not type a revenue number and hope. You state the decision and the drivers it moves, and the model does the math.
you hire two account executives
payroll rises this month, and new pipeline and revenue land two to three months out.
you spend
marketing cost rises now, leads rise, and revenue follows at your close rate.
you launch a higher-priced plan tier
pricing and mix shift, and expansion revenue compounds over the next few quarters.
The “then” is a prediction. Variance analysis compares it against what actually happened, so each decision teaches the next one. That is the loop the whole method runs on.
A spreadsheet keeps the “then” as a hard-typed number and throws away the “if.” The cell says revenue is 180k in March, but nothing records that it assumed two new hires and a campaign. When real numbers arrive, you cannot ask the model whether those decisions worked, because the decisions were never in it.
Initiative-based forecasting fixes the unit of work. You model decisions, the software keeps the if-then links, and variance can finally tell you the truth about each one.
The 'then' with no new 'ifs.' Where the business is heading on current revenue, headcount, and recurring costs. Every decision is measured against this floor.
Each initiative is one if-then statement. If you make this decision, then these specific revenue and cost drivers move. The link is explicit, not buried in a formula.
Combine if-then statements into versions of the future. Stack the decisions you might commit to, and compare the outcomes side by side instead of cloning tabs.
The feedback loop. As real results arrive, check whether each 'then' actually happened. Variance tells you which decisions paid off, and feeds the next round of ifs.
Initiative-based forecasting is built for early-stage B2B startup operators, usually pre-seed to Series A, who are running finance themselves. It is a good fit when you are making real bets on hires, marketing, and product, and you need to see the cash and runway consequences before you commit, not after. Teams in Southeast Asia that prefer to solve finance with software rather than an early finance hire are the core audience.
It is built entirely on if-then links. Every initiative is a decision (the 'if') tied to the specific revenue and cost drivers it moves (the 'then'). A spreadsheet stores the 'then' as a hard-typed number and forgets the 'if,' so it can never tell you whether a decision worked. Initiative-based forecasting keeps that link, which is what makes variance analysis meaningful.
Early-stage B2B startup founders and operators, typically pre-seed to Series A, who run finance themselves without a dedicated finance hire. It suits lean teams in Southeast Asia and beyond that solve non-core functions with software rather than headcount.
No. You can build a forecast from your assumptions on day zero. If you connect bookkeeping through YourBooks, your real monthly actuals flow into the forecast so the variance loop runs on real numbers.
State your next few decisions and watch the runway move, then let variance tell you how they landed.