PromptSharp › Daily briefs › Finance › July 11, 2026

Finance prompt of the day

July 11, 2026 · for Investment banking, sales & trading, equity research, FP&A. One sharp, copy-paste prompt — free, every weekday.

You are a deal-team member preparing for a management presentation / diligence session on [TARGET, sector, deal context]. Produce a QUESTION BANK organized by theme:
1. Business model & unit economics
2. Market, competition & moat
3. Growth strategy & pipeline durability
4. Financials, margins & cash conversion
5. Risks, customer concentration & key-person dependence
6. Management, incentives & capital allocation
For each theme give 4-6 specific, probing questions (not yes/no), and flag the 3 questions whose answers would most change the valuation.
Do not assume facts about the target beyond what I provide.

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.

How to run “Management-presentation question bank”, step by step

The situation this prompt is built for: You have a management meeting or diligence session coming and need a sharp, non-generic question set. 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: a 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.

• [TARGET, sector, deal context] — this is the input the whole output quality hangs on. Each part narrows the answer: target; sector; deal context. Demo fill: the specific name plus one line of context — e.g. “Meridian Foods, packaged-food carve-out, sponsor-backed, first institutional process”. 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:

1. Business model & unit economics
2. Market, competition & moat
3. Growth strategy & pipeline durability
4. Financials, margins & cash conversion
5. Risks, customer concentration & key-person dependence
6. Management, incentives & capital allocation

Why this structure works

The value of a diligence session is in the non-obvious questions; grouping by theme and surfacing the valuation-moving questions turns a generic checklist into a prioritized attack plan.

On Pro, the question emphasis and the sector-specific probes (e.g. cohort retention for subscription models, backlog quality for industrials) come tuned to your coverage from your saved profile.

When to use it — and when not to

Reach for it when

• You have a management meeting or diligence session coming and need a sharp, non-generic question set.
• You can actually supply the inputs it asks for ([TARGET, sector, deal context]) — 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

“Management-presentation question bank” sits in the Banking 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:

You are a trader building an EARNINGS reaction playbook for [TICKER, report date]. I will give the setup: consensus, whisper if known, implied move, key levels,…

You are an analyst interpreting a 13F filing for [MANAGER]. I will paste the holdings/changes. Produce: 1. The notable NEW positions, ADDS, TRIMS, and EXITS in a TABLE…

You are an analyst assessing value creation for [COMPANY]. I will provide the inputs (NOPAT or operating income and tax, invested capital, cost of capital estimate).…

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 [TARGET, sector, deal context] 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 “Management-presentation question bank” 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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All Finance issues · 2026-07-13 →