PromptSharp › Daily briefs › Finance › August 18, 2026
PromptSharp Finance · free web issueFinance prompt of the day
August 18, 2026 · for Investment banking, sales & trading, equity research, FP&A. One sharp, copy-paste prompt — free, every weekday.
DCF assumption interrogation + sensitivity map
You have a DCF and want the assumptions stress-tested before you trust the output.
You are a skeptical senior analyst reviewing a DCF for [COMPANY]. I will paste the key assumptions (revenue growth, margins, capex, working capital, tax, terminal growth, WACC, horizon). Do this: 1. Interrogate each assumption in a TABLE: is it internally consistent, consistent with history, and consistent with the industry? Flag any that look aggressive or conservative and why. 2. Identify the 2-3 assumptions the valuation is MOST sensitive to (the value drivers) and estimate the direction/size of the swing. 3. Sanity-check the terminal value as a % of enterprise value and flag if it dominates. 4. Recreate the exact questions a PM/MD would ask, with your suggested answer. Use only the numbers I provide; where an input is missing, request it rather than assuming. Rules: Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it. Mark every claim I should verify externally before relying on it. Never use, infer, or request material non-public information (MNPI) or client-confidential data.
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See pricing → About this verticalHow to run “DCF assumption interrogation + sensitivity map”, step by step
The situation this prompt is built for: You have a DCF and want the assumptions stress-tested before you trust the output. Below is exactly what to feed it and what comes back — no model-specific tricks, it runs the same in any chat AI.
What each placeholder does
Demo profile for the example fills: an equity research associate on a mid-cap sector coverage team, working in Excel, a chat AI model, and your firm's data terminal. Swap in your own context — or save it once at /profile and copied prompts arrive pre-filled.
- [COMPANY] — this is the input the whole output quality hangs on. Demo fill: what you sell in one plain sentence, plus who buys it. Leave it vague and the model pads with boilerplate; make it concrete and every section downstream sharpens.
What the model hands back
The prompt forces a fixed deliverable shape, so you get a document, not a ramble:
- Interrogate each assumption in a TABLE: is it internally consistent, consistent with history, and consistent with the industry? Flag any that look aggressive or conservative and why.
- Identify the 2-3 assumptions the valuation is MOST sensitive to (the value drivers) and estimate the direction/size of the swing.
- Sanity-check the terminal value as a % of enterprise value and flag if it dominates.
- Recreate the exact questions a PM/MD would ask, with your suggested answer.
Why this structure works
A DCF's answer lives in 2-3 assumptions and its terminal value; forcing a consistency check plus a sensitivity ranking exposes where the valuation is really being made and pre-empts the review questions.
On Pro, the growth/margin/WACC reasonableness bands and the review emphasis are pre-set to your coverage sector's typical ranges from your profile, so the interrogation is calibrated not generic.
When to use it — and when not to
Reach for it when
- You have a DCF and want the assumptions stress-tested before you trust the output.
- You can actually supply the inputs it asks for ([COMPANY]) — this prompt is an amplifier for real context, not a substitute for it.
- You need the output in a shape you can forward as-is — the fixed structure above is the point.
Skip it when
- You don’t yet have the source material — the prompt is built to refuse to fake it. Its own guardrail: “Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it.” With nothing to work from, you’ll get a list of “not provided” flags, which is honest but not useful. Collect the inputs first.
- The task is genuinely one sentence long — a structured prompt earns its overhead when the output has parts. For quick one-off questions, just ask.
Adapting today’s prompt for adjacent roles
“DCF assumption interrogation + sensitivity map” sits in the Financial Analysis & Modeling lane of the finance pool. If your seat is one desk over, these are the same craft-move rebuilt for the neighbouring workflow — pulled from the same curated pool, each free in full at its permalink:
Precedent-transactions screen + adjusted-multiples framing
Banking · same finance pool
You need a defensible set of precedent M&A deals for a target and a clean read on what buyers actually paid.
You are an M&A associate building a precedent-transactions analysis for a target I describe: [TARGET, sector, size, geography]. Produce: 1. A TABLE of candidate…
Precedent screens live or die on comparability and on separating clean multiples from control/synergy noise — this forces both, plus a verification…
Morning desk-color note from overnight moves
Sales & Trading · same finance pool
You need a tight, client-ready morning color note synthesizing overnight action for your coverage.
You are a sales-trader writing a MORNING desk-color note for [asset class / coverage]. I will paste overnight moves, headlines, and levels. Produce: 1. A 2-3 sentence…
Desk color is judged on signal-per-word and honesty about what is fact vs read; this enforces a tight structure and labels speculation, so the note…
Earnings-call transcript signal map
Investment Management · same finance pool
You have a transcript and want the buy-side signal — tone shifts, what changed, what was dodged.
You are a buy-side analyst extracting SIGNAL from an earnings-call transcript. I will paste it. Produce: 1. WHAT CHANGED vs prior guidance/tone (3-5 specific items,…
Buy-side edge on calls is in the delta and the dodge, not the summary; forcing quoted evidence and a 'what to verify' step keeps the read honest and…
Common failure modes (and the fixes)
- Failure: letting the model drift past the prompt’s own guardrail — “Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
- Failure: letting the model drift past the prompt’s own guardrail — “Mark every claim I should verify externally before relying on it.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
- Failure: letting the model drift past the prompt’s own guardrail — “Never use, infer, or request material non-public information (MNPI) or client-confidential data.” Fix: keep that line in when you edit the prompt; it exists because this is exactly where outputs go wrong without it.
- Failure: filling [COMPANY] with a vague summary. The output can only be as specific as this input — generic context in, generic deliverable out. Fix: paste raw specifics (real names, real numbers, real constraints), then trim the model’s output, not your input.
- Failure: accepting the first pass. Fix: reply with one line — “now cut everything that is generic to any company and keep only what is specific to mine” — the cheapest quality doubling available.
Quick answers
Is “DCF assumption interrogation + sensitivity map” free to use?
Yes — every weekday issue of the PromptSharp Finance publishes one full pool prompt free on the web, and it stays free in the archive. Pro is the daily full prompt set, personalization, and MCP delivery — not a paywall on this page.
Which AI model does this prompt work with?
Any of them. Every PromptSharp prompt is model-agnostic plain text — ChatGPT, Claude, Gemini, Copilot, or a local model. No plugins, no custom GPTs; paste and run.
How is the finance prompt of the day chosen?
Deterministic rotation over the curated finance pool — currently 75 prompts across 5 sections — the same single source the paid brief reads. Same date, same prompt: the archive never silently changes under you.
What goes in the [BRACKETED] placeholders?
Your context — the walkthrough above covers each one. The short rule: the more concrete the fill (real names, numbers, constraints), the sharper the output. Save your details once at /profile and web copies arrive pre-filled.
How do I get this in my inbox instead?
The capture form above — PromptSharp Finance status is honest: live briefs send every weekday; pre-launch verticals email their free list the day the email edition starts.
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