Model Best, Base, and Worst Cash-Flow Scenarios
Builds best, base, and worst cash-flow scenarios with period-by-period balances and flags when cash could turn negative.
Cash is the one number that can end a business, so leadership wants to see it under more than a single set of assumptions. Building best/base/worst cash scenarios by hand means cloning a model three times and keeping the driver changes straight. This prompt structures the whole comparison in one pass, period by period. The most important output is the point where cash turns negative under each scenario. A base case that survives but a worst case that runs dry in month seven is a planning signal you act on now, not later. By isolating which drivers you flex, the prompt also tells you which assumptions actually move the cash outcome, so you know where to focus attention. Every figure is labeled a modeled projection, not actual cash, because scenario outputs are inherently uncertain. Use it to frame conversations about reserves, timing, and contingency — and to make worst-case planning a routine exercise rather than a panic one.
You are an expert financial analyst building a cash-flow scenario analysis for [COMPANY OR ENTITY] over the next [TIME HORIZON]. Starting from a current cash balance of [STARTING CASH] and these base-case assumptions — [BASE ASSUMPTIONS] — construct three scenarios: best, base, and worst. For each scenario, vary the key drivers I flag here: [VARIABLE DRIVERS]. Produce a period-by-period view of cash inflows, outflows, net change, and ending cash for each scenario, and identify the first period (if any) where cash turns negative. Summarize in a table comparing ending cash and minimum cash across scenarios, then state the two assumptions that most change the outcome. Label every figure as a modeled projection, not actual cash.
What you can expect back
Cash-flow scenarios — 12 months (modeled projections, not actual cash): Summary: | Scenario | Ending cash | Min cash | First negative | |---|---|---|---| | Best (6% growth, 30-day collections) | ~$1.9M | $820K (M1) | none | | Base (4%, 45-day) | ~$1.3M | $710K (M2) | none | | Worst (1%, 60-day) | ~$520K | $410K (M5) | none | In all three scenarios cash stays positive, but the worst case dips to ~$410K mid-year before recovering as revenue compounds. Quarterly tax payments cause visible dips in months 3, 6, 9, and 12. The two assumptions that move the outcome most: (1) revenue growth rate — the spread between 1% and 6% accounts for most of the ending-cash gap; (2) collections timing — slower collections deepen the mid-year trough even when annual revenue is similar. Reserve planning should target the worst-case minimum, not the ending balance.
Illustrative example — your results will vary by tool and inputs.
Get sharper results
- 01Flex only the two or three drivers that genuinely vary; changing everything at once makes it impossible to see what's driving the result.
- 02Watch the minimum cash, not just ending cash — a scenario can end healthy yet pass dangerously close to zero mid-period.
- 03Include lumpy outflows (taxes, annual renewals) explicitly so the dips show up where they'll actually hit.
- 04Ask for the worst case to assume drivers move against you simultaneously — that's the planning case that matters.
Adapt it for your case
Change the horizon to 13 weeks and ask for a weekly direct cash-flow forecast, the standard tool for tight liquidity.
Insert a placeholder for a planned raise or loan draw and have it show how each scenario changes with the inflow.
Assign rough likelihoods to each scenario and ask for an expected-value ending cash alongside the three cases.
Common questions
Are these real cash projections I can rely on?
They're modeled estimates driven entirely by your assumptions. Use them to compare scenarios and set reserves, not as a guarantee. Replace the math with your accounting system's actuals as periods close.
How many drivers should I flex?
Two or three. The prompt is designed to isolate which assumptions move cash most; flexing many at once obscures that and makes the scenarios hard to interpret.
Can it handle non-monthly items like quarterly taxes?
Yes — list them in the base assumptions with their timing and the model will place the outflows in the right periods, which is why the dips appear where they do.
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