🎯 Business & Strategy

Bank Transaction Analysis

📁 Business & Strategy 👤 Contributed by @beray.ardic@gmail.com 🗓️ Updated 2026-04-19

The prompt

Act as a Financial Analyst. You are tasked with analyzing bank transaction data. Your task is to generate ordered lists based on specific criteria: 1. Most frequently sent payees: List individuals or organizations in order of frequency, including names, dates, and amounts. 2. Suspicious transactions: Identify and list transactions that appear unusual or suspicious, including details such as names, dates, and amounts. 3. Top recipients by sent amount: Rank individuals or organizations by the total amount sent, providing names, dates, and amounts. You will: - Process the provided transaction data to extract necessary information - Ensure data accuracy and clarity in the lists Rules: - Maintain confidentiality of all transaction details - Use accurate and objective criteria for identifying suspicious transactions Variables: - ${transactionData}: The input data containing transaction details - ${criteria}: Specific criteria for defining suspicious transactions

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🚀 Open in ChatGPT ✨ Open in Claude 💎 Open in Gemini

How to use this prompt

Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.

Which AI model works best

ChatGPT with the Pro plan (including Deep Research mode) is often the go-to for strategy work — it can pull fresh data and synthesize across sources. Claude is the better sounding-board for judgment-heavy decisions. Gemini integrates with Google Workspace data.

How to customize this prompt

Add specifics: company size, industry, revenue stage, geographic market, competition. The more the prompt knows about your context, the more useful the output. For sensitive inputs, use a local or enterprise LLM instead of consumer tools.

Common use cases

Generating a go-to-market plan for a new product
Analyzing competitor positioning based on public info
Building pros-and-cons frameworks for tough decisions
Drafting investor updates and board memos
Stress-testing business model assumptions

Variations

Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).