30 Claude Prompts That Build Financial Models
Describe your business and Claude returns a real, working financial model: tables, assumptions, and formulas you can paste straight into a spreadsheet. Prompts for SaaS/MRR, runway and burn, unit economics, P&L and cash flow, DCF valuation, and budgets. Not "give me some numbers."
In short: This page contains 30 copy-paste ready prompts, organized into 6 categories with a description and pro tip for each. The first 15 prompts are free instantly โ no signup needed. Hand-curated and tested by the AI Academy team.
SaaS & MRR Models
5 promptsBottom-Up SaaS MRR Model
1/30You are a SaaS finance analyst who builds bottom-up recurring-revenue models. <context> I need a self-contained, ready-to-use bottom-up MRR model I can paste into a spreadsheet. Drive revenue from acquisition and retention, not a top-line guess. </context> <inputs> - Plans and prices (monthly): [E.G. STARTER $29, PRO $99, TEAM $299] - New signups per month and expected growth: [E.G. 120/MO, +8%] - Plan mix of new signups: [% ON EACH PLAN] - Monthly logo churn and expansion rate: [E.G. 3% CHURN, 1.5% EXPANSION] - Forecast horizon: [12 OR 24 MONTHS] </inputs> <task> Build a monthly model with an assumptions block up top, then a table with rows for: new customers, churned customers, active customers, new MRR, expansion MRR, churned MRR, net new MRR, and ending MRR. Add ARR (MRR x 12) and net MRR growth %. Show every driver so numbers trace back to assumptions. </task> <constraints> - Separate assumptions (inputs) from calculated outputs; never hardcode a computed cell. - Give the exact formula/logic for each calculated column so it is spreadsheet-ready. - Use the input numbers; if a value is missing, state a clearly labeled assumption. </constraints> <format> Return the model as markdown tables (assumptions table + monthly build), then a short note on how to paste it into Google Sheets and which two assumptions move the outcome most. </format>
Builds a driver-based monthly MRR-to-ARR model with new, expansion, and churned revenue as a copy-paste-ready artifact.
Pro tip: Give Claude your real plan prices and last month's signups so the first row is grounded and every later month traces back to it.
Subscription Revenue Waterfall
2/30You are a subscription revenue analyst who builds MRR movement waterfalls. <context> I need a self-contained MRR waterfall (movement) model as a ready-to-use table that shows exactly how MRR moves each month. </context> <inputs> - Starting MRR: [$ AMOUNT] - New business MRR per month: [$ OR GROWTH RULE] - Expansion / upsell MRR: [$ OR % OF BASE] - Contraction (downgrades) MRR: [$ OR %] - Gross churned MRR: [$ OR % OF BASE] - Horizon: [12 MONTHS] </inputs> <task> Build a monthly waterfall table with rows: beginning MRR, + new, + expansion, - contraction, - churn, = ending MRR. Add derived metrics per month: gross revenue retention %, net revenue retention %, and quick ratio ((new+expansion)/(churn+contraction)). Include a totals column. </task> <constraints> - Assumptions in a labeled block; every movement row must reconcile beginning to ending MRR. - State each retention formula explicitly so it is auditable in a spreadsheet. - No filler; realistic values derived from the inputs. </constraints> <format> Return the waterfall as a markdown table plus a metrics table, then a one-paragraph read on whether the business is growth- or retention-constrained. </format>
Produces a reconciling MRR movement waterfall with GRR, NRR, and quick ratio as a ready-to-use table.
Pro tip: Ask Claude to flag any month where net revenue retention drops below 100% and explain which movement caused it.
ARR Bridge / Growth Model
3/30You are a B2B SaaS FP&A modeler who builds annual ARR bridges for board decks. <context> I need a self-contained ARR bridge as a ready-to-use table that walks last year's ARR to next year's target across the four standard buckets. </context> <inputs> - Opening ARR: [$ AMOUNT] - Target closing ARR or growth %: [$ OR %] - Expected new-logo ARR: [$ OR ASSUMPTION] - Expansion ARR assumption: [% OF BASE OR $] - Gross churn and contraction assumption: [% OF BASE] </inputs> <task> Build an annual ARR bridge: opening ARR, + new logo, + expansion, - contraction, - churn, = closing ARR, split by quarter. Add net new ARR, growth %, and net dollar retention. Then back-solve: given opening ARR and the retention buckets, how much new-logo ARR is required to hit the target. </task> <constraints> - Show the back-solve formula for required new ARR explicitly. - Quarterly columns must sum to the annual bridge; label all assumptions. - Ground every number in the inputs; call out any assumption you introduce. </constraints> <format> Return the quarterly ARR bridge table and the required-new-ARR calculation, then a short note on whether the target is realistic given the churn assumption. </format>
Generates a quarterly ARR bridge that back-solves the new-logo ARR needed to hit a growth target as a ready-to-use table.
Pro tip: Feed Claude your real opening ARR and churn rate, then ask it to solve for the new-logo number your sales team must actually close.
Freemium-to-Paid Conversion Model
4/30You are a growth finance analyst modeling freemium funnels. <context> I need a self-contained freemium funnel model as a ready-to-use table that turns free signups into paid revenue with clear conversion assumptions. </context> <inputs> - Free signups per month and growth: [E.G. 2,000/MO, +10%] - Free-to-paid conversion rate and lag: [E.G. 4% WITHIN 30 DAYS] - Paid plan price(s) and mix: [$ AND %] - Monthly paid churn: [%] - Horizon: [12 MONTHS] </inputs> <task> Build a monthly model: free signups, cumulative free base, new paid conversions (applying the lag), active paid customers (net of churn), new MRR, ending MRR, and paid ARR. Add a summary: blended conversion %, paid customers at month 12, and ending MRR. </task> <constraints> - Model the conversion lag explicitly (state the timing rule you use). - Assumptions block separate from the build; give each formula so it is spreadsheet-ready. - Realistic numbers from the inputs; no invented benchmarks. </constraints> <format> Return the monthly build table and a summary table, then a note on which lever (top-of-funnel volume vs conversion rate) grows revenue faster. </format>
Builds a freemium funnel that converts free signups into paid MRR with a modeled conversion lag as a ready-to-use table.
Pro tip: Tell Claude your actual free-to-paid rate and the typical days-to-convert so the lag mirrors your real onboarding.
Cohort Retention & LTV Model
5/30You are a retention analyst who builds cohort-based lifetime-value models. <context> I need a self-contained cohort retention and LTV model as a ready-to-use triangle table so I can see revenue by acquisition month over time. </context> <inputs> - Monthly new customers per cohort: [E.G. 100/MO OR A LIST] - Average revenue per user (ARPU): [$ /MO] - Monthly retention curve or churn rate: [E.G. 90% M1, THEN 3% CHURN] - Gross margin %: [FOR MARGIN-BASED LTV] - Cohorts to show: [12] </inputs> <task> Build a cohort retention triangle (cohorts as rows, months-since-acquisition as columns) showing surviving customers, then a parallel revenue triangle. Compute cumulative revenue per cohort, LTV per customer (ARPU x expected lifetime), and gross-margin LTV. Add a blended LTV summary. </task> <constraints> - State the retention/lifetime formula (e.g., 1/churn) and the LTV formula explicitly. - Keep the triangle aligned so months-since-acquisition read cleanly across cohorts. - Use the input curve; label any smoothing assumption. </constraints> <format> Return the retention triangle, the revenue triangle, and an LTV summary table, then a note on how to compare LTV against CAC. </format>
Produces cohort retention and revenue triangles with per-cohort and blended LTV as a ready-to-use artifact.
Pro tip: If you have real month-by-month retention, paste the first cohort's curve and let Claude apply it to the rest instead of a flat churn rate.
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Startup Runway & Burn
5 promptsCash Runway & Burn Rate Model
6/30You are a startup CFO who builds runway and burn models for founders. <context> I need a self-contained runway model as a ready-to-use table that tells me exactly how many months of cash I have left. </context> <inputs> - Current cash balance: [$ AMOUNT] - Monthly revenue (and growth): [$ AND %] - Fixed monthly costs (rent, tools, etc.): [$] - Payroll (and hiring adds): [$ AND ANY PLANNED HIRES] - Variable costs as % of revenue: [%] </inputs> <task> Build a monthly cash model: revenue, total costs, gross burn, net burn (costs - revenue), and ending cash balance carried forward. Compute gross burn, net burn, average monthly net burn, current runway in months, and the projected cash-out month. Highlight the month cash crosses zero. </task> <constraints> - Ending cash each month feeds the next month's opening cash (running balance). - Show the runway formula (cash / net burn) and the cash-out logic explicitly. - Assumptions labeled separately; realistic values from the inputs. </constraints> <format> Return the monthly cash table and a runway summary, then a short note on the two fastest ways to extend runway given these numbers. </format>
Builds a running-balance cash model that computes net burn, runway in months, and the cash-out date as a ready-to-use table.
Pro tip: Give Claude your exact current bank balance and it will pin the cash-out month to a real calendar date, not a vague range.
18-Month Cash Flow Forecast
7/30You are a startup finance lead building an 18-month cash-flow forecast. <context> I need a self-contained 18-month cash forecast as a ready-to-use table covering operating, investing, and financing cash so I can plan raises and spend. </context> <inputs> - Opening cash: [$ AMOUNT] - Revenue plan (monthly or growth rule): [$ / %] - Operating costs by category: [PAYROLL, MARKETING, G&A, ETC] - One-off items (capex, deposits): [$ AND MONTH] - Planned financing (loan/round in): [$ AND MONTH] </inputs> <task> Build a monthly cash-flow forecast for 18 months: cash from operations (collections minus operating outflows), cash from investing (capex), cash from financing (loans/equity in), net change in cash, and running ending balance. Add a min-cash line flagging the lowest balance and the month it hits. </task> <constraints> - Running balance links month to month; totals column reconciles the 18 months. - Keep categories consistent and clearly labeled; state collection timing if revenue is not cash-immediate. - Ground in the inputs; call out any assumption. </constraints> <format> Return the 18-month forecast table and a min-cash/summary block, then a note on the best month to raise given the trough. </format>
Generates an 18-month operating/investing/financing cash forecast with a min-cash trough flag as a ready-to-use table.
Pro tip: Ask Claude to add a 'safety buffer' row (e.g. keep 3 months of costs) so you know the real month you must have new cash in hand.
Fundraising & Dilution Model
8/30You are a venture finance advisor who models fundraising rounds and dilution. <context> I need a self-contained round-and-dilution model as a ready-to-use table showing ownership and post-money before and after a raise. </context> <inputs> - Current cap table (holders and shares/%): [FOUNDERS, ESOP, EXISTING INVESTORS] - Raise amount: [$ AMOUNT] - Pre-money valuation: [$ AMOUNT] - New option pool to create (post): [% IF ANY] - Optional SAFE/note converting: [$ AND CAP/DISCOUNT] </inputs> <task> Build a cap table with columns for pre-round shares and %, new shares issued (investor and pool), and post-round shares and %. Compute post-money valuation, price per share, investor ownership %, and founder dilution. If a SAFE converts, show its shares at the cap/discount. Add a summary of pre vs post ownership. </task> <constraints> - Show price-per-share and each dilution formula explicitly; percentages must sum to 100%. - Handle the option-pool shuffle correctly (pool created pre-money if specified). - Use the inputs; state any assumption about pool timing or conversion. </constraints> <format> Return the pre/post cap table and an ownership summary, then a note on how the new pool and any SAFE changed founder dilution. </format>
Produces a pre/post cap table with price per share, ownership, and founder dilution for a round as a ready-to-use artifact.
Pro tip: Tell Claude whether the option pool is created pre- or post-money; that single choice swings your dilution by several points.
Hiring Plan & Payroll Burn Model
9/30You are an FP&A analyst who builds headcount and payroll-burn plans. <context> I need a self-contained hiring plan as a ready-to-use table that turns planned roles into a monthly fully-loaded payroll burn. </context> <inputs> - Roles to hire (title, salary, start month): [LIST] - Current team payroll: [$ /MO OR ANNUAL] - Payroll load (benefits, taxes) %: [E.G. 20%] - Contractor/one-off costs: [$ IF ANY] - Horizon: [12 MONTHS] </inputs> <task> Build a monthly payroll model: a headcount table (role active by month) and a cost table applying salary/12 plus the load %, phased in by start month. Sum to total monthly payroll burn and cumulative payroll. Add annualized run-rate at month 12 and ending headcount. </task> <constraints> - A role only adds cost from its start month onward; show the load formula explicitly. - Assumptions block separate from the build; keep role names consistent across tables. - Realistic values from the inputs; flag any estimated salary. </constraints> <format> Return the headcount table and the monthly payroll-cost table, then a note on how much runway each new hire consumes. </format>
Builds a phased hiring plan that converts roles into fully-loaded monthly payroll burn as a ready-to-use table.
Pro tip: Ask Claude to add a column showing cumulative payroll against your cash balance so you see which hire pushes you past a raise.
Zero-Cash Date & Milestone Model
10/30You are a startup CFO who ties runway to fundraising milestones. <context> I need a self-contained model as a ready-to-use table that maps my cash-out date against the milestones I must hit before raising. </context> <inputs> - Current cash and monthly net burn: [$ AND $ /MO] - Key milestones and target months: [E.G. $50K MRR BY MONTH 9] - Any revenue ramp affecting burn: [$ / %] - Target raise and lead time to close: [$ AND WEEKS] </inputs> <task> Build a monthly timeline table: opening cash, net burn, ending cash, runway months remaining, and a milestone column marking which milestone is due that month. Compute the zero-cash month and back-calculate the latest month you can start fundraising given the close lead time. Flag any milestone that lands after cash runs out. </task> <constraints> - Running cash balance links month to month; show the latest-safe-raise-start formula. - Clearly mark the zero-cash month and any at-risk milestone. - Use the inputs; label assumptions. </constraints> <format> Return the timeline table and a summary of zero-cash date, latest raise-start date, and at-risk milestones, then a one-line recommendation. </format>
Maps runway against milestones to compute the zero-cash date and the latest safe fundraising start as a ready-to-use table.
Pro tip: Give Claude a realistic 8-12 week close time and it will tell you the exact month to start pitching, not the month you go broke.
Unit Economics
5 promptsCAC, LTV & Payback Model
11/30You are a unit-economics analyst who builds CAC, LTV, and payback models. <context> I need a self-contained unit-economics model as a ready-to-use table that shows whether each customer is profitable and how fast acquisition cost is recovered. </context> <inputs> - Total sales & marketing spend (period): [$] - New customers acquired (period): [NUMBER] - ARPU or average monthly revenue per customer: [$] - Gross margin %: [%] - Monthly churn rate: [%] </inputs> <task> Build a metrics table computing: CAC (spend / new customers), gross-margin per customer/month (ARPU x margin), average customer lifetime (1 / churn), LTV (margin/mo x lifetime), LTV:CAC ratio, and CAC payback in months (CAC / margin per month). Add a verdict row against the 3:1 LTV:CAC and sub-12-month payback rules of thumb. </task> <constraints> - Show every formula explicitly so the table is auditable in a spreadsheet. - Distinguish revenue LTV from gross-margin LTV; use the margin version for the verdict. - Ground all numbers in the inputs; no invented benchmarks beyond the stated rules of thumb. </constraints> <format> Return the metrics table with formulas, then a short verdict on whether these unit economics support scaling paid acquisition. </format>
Computes CAC, gross-margin LTV, LTV:CAC ratio, and payback period with a scale-readiness verdict as a ready-to-use table.
Pro tip: Always feed Claude gross margin, not revenue; a healthy-looking LTV:CAC can flip negative once true margin is applied.
Per-Unit Contribution Margin Model
12/30You are a cost accountant who builds contribution-margin models. <context> I need a self-contained contribution-margin model as a ready-to-use table that breaks one unit sold down to its contribution and shows break-even volume. </context> <inputs> - Product and selling price per unit: [$] - Variable costs per unit (materials, labor, fees, shipping): [ITEMIZE] - Monthly fixed costs: [$] - Expected monthly volume: [UNITS] </inputs> <task> Build a per-unit table: selling price, each variable cost line, total variable cost, contribution margin per unit, and contribution margin %. Then a monthly table: revenue, total variable cost, total contribution, fixed costs, operating profit. Compute break-even units (fixed / contribution per unit) and break-even revenue. </task> <constraints> - Itemize variable costs as separate lines; show contribution-margin and break-even formulas. - Keep the per-unit and monthly tables consistent (per-unit x volume = monthly). - Use the inputs; flag any estimated cost line. </constraints> <format> Return the per-unit table and the monthly P&L-lite table plus break-even figures, then a note on how much price or cost change moves break-even. </format>
Breaks a unit down to contribution margin and computes break-even units and revenue as a ready-to-use table.
Pro tip: Ask Claude to add a mini sensitivity row showing break-even if price rises 10% or a key variable cost falls 10%.
Marketplace Take-Rate Economics
13/30You are a marketplace finance analyst modeling take-rate unit economics. <context> I need a self-contained marketplace model as a ready-to-use table that turns gross merchandise value into net revenue and per-transaction economics. </context> <inputs> - Average order value (GMV per transaction): [$] - Take rate (commission %): [%] - Payment processing % + fixed fee: [E.G. 2.9% + $0.30] - Other variable costs per transaction (support, fraud): [$] - Monthly transactions and growth: [NUMBER, %] </inputs> <task> Build a per-transaction table: GMV, platform revenue (GMV x take rate), payment fees, other variable costs, and net contribution per transaction. Then a monthly table over 12 months: GMV, net revenue, total contribution, and contribution margin %. Compute effective net take rate after all fees. </task> <constraints> - Show the effective-take-rate and per-transaction contribution formulas explicitly. - Apply the fixed payment fee per transaction, not per dollar; keep tables consistent. - Use the inputs; label assumptions. </constraints> <format> Return the per-transaction table and the monthly build, then a note on whether the take rate covers fees with margin to spare. </format>
Models marketplace GMV, take rate, and payment fees down to per-transaction net contribution as a ready-to-use table.
Pro tip: Give Claude the real payment processor split (percent plus flat fee); small orders can lose money once the flat fee is applied.
E-commerce Unit Economics Model
14/30You are an e-commerce finance analyst who builds full-cost unit economics. <context> I need a self-contained e-commerce unit-economics model as a ready-to-use table that nets one order down to profit after COGS, shipping, ads, fees, and returns. </context> <inputs> - Average order value: [$] - COGS per order: [$ OR %] - Shipping & fulfillment per order: [$] - Payment/platform fees: [% + FIXED] - Ad spend per order (CAC) and return rate: [$ AND %] </inputs> <task> Build a per-order waterfall: AOV, - COGS, - shipping, - fees, = gross profit before ads, - acquisition cost, - returns provision, = net contribution per order and net margin %. Then a monthly view at a chosen order volume. Compute the max allowable CAC to stay profitable and the break-even return rate. </task> <constraints> - Model the return provision as expected cost (rate x order cost); show max-CAC formula. - Keep the waterfall reconciling from AOV to net contribution; label assumptions. - Use the inputs; flag any estimated line. </constraints> <format> Return the per-order waterfall and monthly summary plus max-allowable-CAC, then a note on the biggest margin leak. </format>
Nets an e-commerce order down to profit after COGS, shipping, fees, ads, and returns with a max-CAC ceiling as a ready-to-use table.
Pro tip: Ask Claude to solve for the highest CAC you can pay and still break even; that number becomes your paid-ads bidding ceiling.
Blended vs Paid CAC by Channel
15/30You are a growth-marketing finance analyst who models CAC by channel. <context> I need a self-contained channel-CAC model as a ready-to-use table comparing paid CAC per channel against a blended CAC that includes organic. </context> <inputs> - Channels with spend and customers: [E.G. GOOGLE $10K/200, META $8K/150] - Organic customers (no direct spend): [NUMBER] - ARPU and gross margin %: [$ AND %] - Monthly churn (for LTV): [%] </inputs> <task> Build a per-channel table: spend, customers, CAC (spend/customers), and share of new customers. Add a blended-CAC row (total spend / all customers including organic). Compute LTV once and show LTV:CAC per channel and blended. Rank channels by efficiency and flag any with LTV:CAC below 3. </task> <constraints> - Clearly separate paid CAC per channel from blended CAC; show both formulas. - Organic customers lower blended CAC but have no channel CAC; make that explicit. - Use the inputs; label the LTV assumption. </constraints> <format> Return the channel table, blended-CAC summary, and an efficiency ranking, then a note on where to shift budget. </format>
Compares paid CAC per channel against blended CAC with per-channel LTV:CAC and a spend-shift recommendation as a ready-to-use table.
Pro tip: Include organic customers explicitly; leaving them out inflates paid CAC and hides how much your blended number relies on free traffic.
P&L & Cash Flow
5 promptsThree-Statement-Lite Model
16/30You are an FP&A modeler who builds linked P&L and cash-flow models. <context> I need a self-contained, linked P&L and cash-flow model as a ready-to-use set of tables where the profit line and cash balance stay consistent month to month. </context> <inputs> - Monthly revenue plan: [$ / GROWTH RULE] - COGS as % of revenue: [%] - Operating expenses by category: [PAYROLL, MARKETING, G&A] - Opening cash and any collection delay: [$ AND DAYS/MONTHS] - Capex or financing events: [$ AND MONTH] </inputs> <task> Build a monthly P&L (revenue, COGS, gross profit, opex lines, operating profit, net income) and a linked cash-flow table (net income, + non-cash/working-capital timing, - capex, + financing, = net cash, running balance). Add margin % rows and a min-cash flag. Keep the P&L net income flowing into the cash statement. </task> <constraints> - The two tables must reconcile: net income links into cash flow; running balance carries forward. - Show key formulas (gross margin, operating margin, ending cash) explicitly; assumptions labeled. - Ground in the inputs; state any working-capital timing assumption. </constraints> <format> Return the P&L table and the linked cash-flow table, then a note on the months where profit and cash diverge and why. </format>
Builds a linked monthly P&L and cash-flow model that reconciles net income to a running cash balance as a ready-to-use artifact.
Pro tip: Tell Claude your real collection delay (e.g. net-30) so the model shows the classic profitable-but-cash-tight months founders miss.
Monthly Income Statement (P&L)
17/30You are a controller who builds monthly income statements. <context> I need a self-contained monthly P&L as a ready-to-use table with proper line structure and margin analysis. </context> <inputs> - Revenue streams: [LIST WITH MONTHLY AMOUNTS OR GROWTH] - COGS components: [$ OR % OF REVENUE] - Operating expenses by category: [SALES, MARKETING, R&D, G&A] - Other income/expense (interest, tax): [$ IF ANY] - Horizon: [12 MONTHS] </inputs> <task> Build a monthly income statement: total revenue (by stream), COGS, gross profit, gross margin %, each opex category, total opex, operating income (EBIT), EBIT margin %, other income/expense, and net income with net margin %. Add a full-year total column and month-over-month revenue growth %. </task> <constraints> - Standard P&L ordering; margins computed, never hardcoded; show margin formulas. - Yearly total column must equal the sum of the twelve months. - Use the inputs; clearly label any assumption. </constraints> <format> Return the monthly P&L as a markdown table with a totals column, then a note on the two expense lines growing fastest relative to revenue. </format>
Generates a standard monthly income statement with gross, operating, and net margins plus a full-year total as a ready-to-use table.
Pro tip: Group opex the way your board reads it (S&M, R&D, G&A) so the P&L drops straight into an investor update without reformatting.
13-Week Cash Flow Forecast
18/30You are a treasury analyst who builds 13-week direct cash-flow forecasts. <context> I need a self-contained 13-week cash forecast (direct method) as a ready-to-use table for near-term liquidity management. </context> <inputs> - Opening cash: [$] - Expected weekly cash receipts (by source): [$ OR PATTERN] - Weekly payroll and its schedule: [$ AND WHICH WEEKS] - Recurring disbursements (rent, vendors, taxes): [$ AND TIMING] - One-off inflows/outflows: [$ AND WEEK] </inputs> <task> Build a 13-week table with weeks as columns: opening cash, itemized receipts, total inflows, itemized disbursements, total outflows, net cash flow, and ending cash carried to the next week. Flag any week the balance goes negative and show the lowest weekly balance. </task> <constraints> - Direct method (actual receipts and payments, not accrual); running balance links week to week. - Payroll and recurring items land in the correct weeks; label all timing assumptions. - Use the inputs; flag estimated lines. </constraints> <format> Return the 13-week cash table and a low-point summary, then a note on which week is tightest and what to defer or accelerate. </format>
Produces a 13-week direct-method cash forecast with weekly running balance and negative-week flags as a ready-to-use table.
Pro tip: Put payroll and tax dates in the exact weeks they hit; the 13-week view exists to catch the week those collide with a slow receipts week.
Break-Even Analysis Model
19/30You are a financial analyst who builds break-even models. <context> I need a self-contained break-even model as a ready-to-use table showing the revenue and volume where profit turns positive. </context> <inputs> - Selling price per unit (or ARPU): [$] - Variable cost per unit (or as % of price): [$ OR %] - Total fixed costs per month: [$] - Current or target monthly volume: [UNITS] </inputs> <task> Compute contribution margin per unit and contribution margin %, then break-even units (fixed / CM per unit) and break-even revenue (fixed / CM %). Build a table across a range of volumes (e.g., 0 to 2x break-even) showing revenue, variable cost, contribution, fixed cost, and profit, so the crossover point is visible. Add the margin of safety at the target volume. </task> <constraints> - Show every formula (CM, break-even units/revenue, margin of safety) explicitly. - The volume table must clearly cross from loss to profit at the break-even point. - Use the inputs; label assumptions. </constraints> <format> Return the break-even figures and the volume-range profit table, then a note on how a 10% price change shifts the break-even point. </format>
Computes break-even units and revenue with a volume-range profit table and margin of safety as a ready-to-use artifact.
Pro tip: Ask Claude to add a second scenario at a higher fixed cost (e.g. after a hire) so you see how much extra volume the hire requires.
Budget vs Actual P&L
20/30You are an FP&A analyst who builds budget-versus-actual variance reports. <context> I need a self-contained budget-vs-actual P&L as a ready-to-use table that shows variances by line with clear favorable/unfavorable flags. </context> <inputs> - Budgeted P&L lines (revenue, COGS, opex): [AMOUNTS] - Actual P&L lines for the period: [AMOUNTS] - Period covered: [MONTH OR QUARTER] - Materiality threshold to flag: [E.G. 5% OR $ AMOUNT] </inputs> <task> Build a table with columns: line item, budget, actual, variance ($), variance (%), and a favorable/unfavorable flag (revenue up = favorable, cost up = unfavorable). Include revenue, COGS, gross profit, each opex line, and net income. Flag any line breaching the materiality threshold and add a totals/variance summary. </task> <constraints> - Apply the correct sign convention (over-budget cost is unfavorable, over-budget revenue is favorable). - Show variance formulas; only flag lines past the materiality threshold. - Use the inputs; do not invent lines not provided. </constraints> <format> Return the variance table with flags, then a short note explaining the top two material variances and likely drivers. </format>
Builds a budget-vs-actual P&L with dollar and percent variances plus favorable/unfavorable flags as a ready-to-use table.
Pro tip: Set a materiality threshold so Claude only flags variances that matter, instead of dumping a red mark on every rounding difference.
Valuation & DCF
5 promptsDiscounted Cash Flow (DCF) Model
21/30You are a valuation analyst who builds discounted cash-flow models. <context> I need a self-contained DCF valuation as a ready-to-use table that discounts projected free cash flows to a present value and enterprise value. </context> <inputs> - Projected free cash flow per year (or revenue + margin to derive it): [5 YEARS] - Discount rate (WACC): [%] - Terminal growth rate: [%] - Net debt (for equity value): [$] - Shares outstanding (for per-share): [NUMBER, OPTIONAL] </inputs> <task> Build a table with years as columns: free cash flow, discount factor (1/(1+WACC)^n), and present value of each year's FCF. Compute the terminal value (Gordon growth: FCF_final x (1+g) / (WACC - g)), discount it back, and sum to enterprise value. Subtract net debt for equity value and, if shares are given, per-share value. Show the % of value from terminal. </task> <constraints> - Show the discount-factor, terminal-value, and equity-value formulas explicitly. - WACC must exceed terminal growth; state the assumption if the user's inputs violate this. - Use the inputs; label any derived FCF assumption. </constraints> <format> Return the DCF table and valuation summary, then a note on how sensitive the value is to WACC and terminal growth. </format>
Builds a full DCF with discounted FCF, terminal value, enterprise and equity value, and per-share value as a ready-to-use table.
Pro tip: Watch the terminal-value share; if it's over ~75% of enterprise value, your valuation rests on assumptions past year five, so stress-test them.
Comparable Company Valuation
22/30You are an equity analyst who builds comparable-company (multiples) valuations. <context> I need a self-contained comps valuation as a ready-to-use table that values my company against peer trading multiples. </context> <inputs> - Peer companies with a valuation metric: [E.G. EV/REVENUE OR EV/EBITDA MULTIPLES] - My company's revenue and EBITDA: [$] - My net debt: [$] - Any premium/discount vs peers and why: [% AND RATIONALE] </inputs> <task> Build a comps table listing each peer and its multiple, then compute the peer set's min, median, mean, and max multiple. Apply the median (and a low/high range) to my metric to get enterprise value, subtract net debt for equity value, and adjust for the stated premium/discount. Present a valuation range (low / median / high). </task> <constraints> - Use a consistent multiple across peers; show the applied-multiple and equity-value formulas. - Present a range, not a single point; label the premium/discount rationale. - Use the inputs; do not fabricate peer multiples not provided. </constraints> <format> Return the comps table and a low/median/high valuation range, then a note on why your company deserves a premium or discount to the median. </format>
Produces a comparable-company valuation with peer multiples and a low/median/high enterprise and equity value range as a ready-to-use table.
Pro tip: Feed Claude the peer multiples you trust; comps are only as good as the peer set, so exclude any company that isn't a true comparable.
SaaS Valuation (ARR Multiple + Rule of 40)
23/30You are a SaaS valuation analyst who values companies on ARR multiples and growth quality. <context> I need a self-contained SaaS valuation as a ready-to-use table that applies an ARR multiple informed by growth and profitability (Rule of 40). </context> <inputs> - Current ARR: [$] - YoY growth rate: [%] - FCF or profit margin %: [%] - Net revenue retention: [%] - Baseline ARR multiple range for the sector: [E.G. 5x-8x] </inputs> <task> Compute the Rule of 40 score (growth % + margin %) and net retention quality. Build a table that adjusts the baseline ARR multiple up or down based on growth, Rule of 40, and NRR (state the adjustment logic). Apply low/mid/high adjusted multiples to ARR for an enterprise-value range. Add implied revenue multiple and a quality summary. </task> <constraints> - Show the Rule of 40 calc and the multiple-adjustment logic explicitly. - Present a valuation range tied to the adjusted multiples; label assumptions. - Use the inputs; do not invent sector multiples beyond the provided range. </constraints> <format> Return the Rule-of-40 and multiple-adjustment table plus a valuation range, then a note on which metric most limits the multiple. </format>
Builds a SaaS valuation that adjusts an ARR multiple by Rule of 40 and NRR into a valuation range as a ready-to-use table.
Pro tip: Give Claude your real NRR; a company under 100% net retention gets a haircut on the multiple no matter how fast it's growing.
Pre-Money Valuation & Cap Table Impact
24/30You are a startup finance advisor who models pre-money valuation and its cap-table impact. <context> I need a self-contained model as a ready-to-use table that tests different pre-money valuations against a fixed raise and shows the ownership outcome. </context> <inputs> - Raise amount (fixed): [$] - Pre-money valuations to test: [E.G. $8M, $10M, $12M] - Current fully-diluted shares: [NUMBER OR OWNERSHIP %] - New option pool to add (post): [% IF ANY] </inputs> <task> For each pre-money scenario, build a table computing: post-money valuation (pre + raise), investor ownership % (raise / post-money), price per share, new shares issued, pool shares, and resulting founder ownership %. Compare scenarios side by side so the dilution trade-off of a higher valuation is visible. </task> <constraints> - Show post-money, investor %, and price-per-share formulas; handle the pool consistently across scenarios. - Percentages within each scenario must sum to 100%. - Use the inputs; state the pool-timing assumption. </constraints> <format> Return a scenario-comparison table across the pre-money values, then a note on the valuation vs dilution trade-off for the founders. </format>
Compares multiple pre-money valuations against a fixed raise to show investor ownership and founder dilution as a ready-to-use table.
Pro tip: Test a range of pre-moneys, not one; seeing dilution side by side helps you decide whether pushing valuation is worth the negotiation.
Sensitivity & Scenario Valuation Table
25/30You are a valuation analyst who builds sensitivity and scenario tables. <context> I need a self-contained two-way sensitivity table as a ready-to-use artifact that shows how valuation shifts with two key drivers. </context> <inputs> - Base valuation and the model behind it: [$ AND DCF OR MULTIPLE] - Driver 1 and its range: [E.G. WACC 9%-13%] - Driver 2 and its range: [E.G. TERMINAL GROWTH 1%-4% OR REVENUE GROWTH] - Base-case values of each driver: [VALUES] </inputs> <task> Build a two-way data table with Driver 1 across the top and Driver 2 down the side, each cell showing the resulting valuation. Highlight the base case, min, and max. Add a separate three-scenario summary (bear / base / bull) listing the driver assumptions and resulting valuation for each. State the valuation formula used to fill each cell. </task> <constraints> - Every cell must be computed from the stated valuation logic, not interpolated by hand. - Clearly mark the base-case cell; label driver ranges and units. - Use the inputs; state the underlying model assumption. </constraints> <format> Return the two-way sensitivity grid and the bear/base/bull table, then a note on which driver the valuation is most sensitive to. </format>
Builds a two-way sensitivity grid plus a bear/base/bull scenario summary showing valuation swings as a ready-to-use table.
Pro tip: Pick the two drivers you argue about most in diligence; the grid turns a debate into a defensible range instead of one fragile number.
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Budget & Forecast
5 promptsAnnual Operating Budget
26/30You are an FP&A analyst who builds annual operating budgets. <context> I need a self-contained annual operating budget as a ready-to-use table broken out by month and by category. </context> <inputs> - Revenue plan (monthly or annual with seasonality): [$ / PATTERN] - COGS assumption: [% OF REVENUE OR $] - Expense categories with budgets: [PAYROLL, MARKETING, TOOLS, RENT, ETC] - Planned one-off spends: [$ AND MONTH] - Target operating margin (optional): [%] </inputs> <task> Build a monthly budget for 12 months: revenue, COGS, gross profit, each expense category, total expenses, and operating profit, with a full-year total column. Add operating margin % per month. If a target margin is given, show the gap between planned and target profit each month. </task> <constraints> - Categories consistent across all months; yearly column equals the sum of months. - Show margin and total formulas; apply any seasonality pattern to revenue explicitly. - Use the inputs; label assumptions. </constraints> <format> Return the 12-month budget table with a totals column, then a note on which category has the most room to cut if revenue misses plan. </format>
Builds a 12-month operating budget by category with monthly and full-year operating profit and margin as a ready-to-use table.
Pro tip: Give Claude a seasonality pattern (e.g. slow summer, Q4 spike) so the budget matches how your revenue actually lands across the year.
Rolling 12-Month Revenue Forecast
27/30You are a revenue-operations analyst who builds rolling forecasts. <context> I need a self-contained rolling 12-month revenue forecast as a ready-to-use table driven by clear growth and pipeline assumptions. </context> <inputs> - Current monthly revenue (starting point): [$] - Revenue streams and their growth rules: [E.G. SUBSCRIPTIONS +5%/MO, SERVICES FLAT] - Known bookings or pipeline to layer in: [$ AND MONTH] - Seasonality or one-off events: [DESCRIBE] - Churn/attrition on recurring revenue: [%] </inputs> <task> Build a rolling 12-month forecast: each revenue stream by month (applying its growth rule and churn), total revenue, month-over-month growth %, and cumulative revenue. Layer known pipeline into the correct months. Add a full-year total and the implied run-rate at month 12. </task> <constraints> - Apply each stream's own growth and churn rule; show the recurring-revenue roll-forward formula. - Pipeline lands in the stated months; label seasonality adjustments. - Use the inputs; flag any assumption. </constraints> <format> Return the rolling forecast table by stream and in total, then a note on how to update it each month as a rolling model. </format>
Produces a rolling 12-month revenue forecast by stream with growth, churn, and pipeline layering as a ready-to-use table.
Pro tip: Ask Claude to keep recurring and one-off revenue on separate rows so a big project month doesn't get mistaken for real run-rate growth.
Marketing Budget & ROI Forecast
28/30You are a marketing finance analyst who builds budget-and-ROI models. <context> I need a self-contained marketing budget and ROI forecast as a ready-to-use table tying spend by channel to leads, customers, and revenue. </context> <inputs> - Channels with monthly budget: [E.G. GOOGLE $8K, META $6K, CONTENT $4K] - Cost per lead or conversion rate per channel: [$ OR %] - Lead-to-customer rate: [%] - Average revenue per customer (or LTV): [$] - Horizon: [12 MONTHS] </inputs> <task> Build a table per channel: budget, leads (budget / CPL), customers (leads x close rate), revenue (customers x revenue), CAC, and ROI/ROAS (revenue / spend). Add a monthly roll-up across channels and a full-year total. Rank channels by ROI and show blended CAC and blended ROAS. </task> <constraints> - Show CPL, CAC, and ROAS formulas; keep channel funnels consistent. - Distinguish first-order revenue from LTV if LTV is used; label which. - Use the inputs; flag estimated rates. </constraints> <format> Return the per-channel ROI table and monthly roll-up, then a note on where to reallocate budget for the highest marginal return. </format>
Builds a marketing budget that maps spend by channel to leads, customers, CAC, and ROAS with a reallocation recommendation as a ready-to-use table.
Pro tip: Decide up front whether ROI uses first-order revenue or full LTV; mixing the two across channels makes the ranking meaningless.
Personal / Household Budget Model
29/30You are a personal finance planner who builds monthly household budgets. <context> I need a self-contained household budget as a ready-to-use table that allocates income across expenses and savings and shows what's left. </context> <inputs> - Monthly take-home income (all earners): [$] - Fixed expenses (rent/mortgage, utilities, insurance, loans): [ITEMIZE] - Variable expenses (groceries, transport, fun): [ITEMIZE] - Savings/investment target: [$ OR %] - Debt balances and rates (optional): [$ AND %] </inputs> <task> Build a budget table: income, each fixed expense, each variable expense, total spending, savings contribution, and leftover (income - spending - savings). Add category subtotals and each category as a % of income. Compare the split against the 50/30/20 rule (needs/wants/savings) and flag categories that are over. </task> <constraints> - Percentages of income computed, not hardcoded; leftover must reconcile. - Map each expense to needs/wants/savings for the 50/30/20 check; label assumptions. - Use the inputs; do not add expenses not provided. </constraints> <format> Return the budget table with % of income and the 50/30/20 comparison, then a note on the fastest realistic way to hit the savings target. </format>
Builds a household budget that allocates income across expenses and savings with a 50/30/20 check as a ready-to-use table.
Pro tip: List every recurring subscription separately; personal budgets usually leak most in the small 'wants' lines people forget to total.
Zero-Based Budget Builder
30/30You are a finance analyst who builds zero-based budgets from scratch. <context> I need a self-contained zero-based budget as a ready-to-use table where every dollar of income is assigned a job and the plan nets to zero. </context> <inputs> - Total income to allocate (period): [$] - Required commitments (must-pay): [ITEMIZE WITH AMOUNTS] - Goals to fund (savings, debt payoff, investments): [ITEMIZE] - Discretionary categories to cap: [ITEMIZE] - Priority order if income falls short: [RANKING] </inputs> <task> Build a zero-based table: income at top, then every category with an assigned amount, so total allocations equal income exactly (remaining = 0). Include a % of income column and a priority column. If commitments plus goals exceed income, cut discretionary lines in the stated priority order until it balances, and show what was trimmed. </task> <constraints> - Allocations must sum to income exactly (zero remaining); show the balancing logic if trimming is needed. - Respect the priority ranking when cutting; label assumptions. - Use the inputs; do not invent categories. </constraints> <format> Return the balanced zero-based budget table plus any trim log, then a note on how to roll unspent category funds into the next period. </format>
Builds a zero-based budget where every dollar is assigned and the plan nets to zero, trimming by priority if needed, as a ready-to-use table.
Pro tip: Rank your categories before running it; when income falls short, that ranking is what lets Claude cut the right lines instead of guessing.
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