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Lesson 4 of 9 · 3 promptsAI for Private Equity Associates
LESSON 04 OF 9

Prepare Due Diligence Materials

3 prompts for Private Equity Associates

Prompts for Private Equity Associates: copy one, fill it in, paste it into your AI.

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In this lesson

  1. 01Draft Due Diligence Request ListUse this when you are starting diligence on a target and need a structured, workstream-by-workstream request list to send to management.
  2. 02Create Expert Call Question GuideUse this when you are preparing questions for expert network calls or industry advisors.
  3. 03Summarize Data Room DocumentsUse this when you have a data room with many documents and need to digest them quickly.
1Copy the promptClick Copy on the prompt you need.
2Paste it into your AIChatGPT, Claude, Gemini or Copilot.
3Fill in the {{brackets}}Your own details, or let the AI ask you.
4Follow up and checkUse the follow-ups, then check the facts.
01

Draft Due Diligence Request List

Use this when you are starting diligence on a target and need a structured, workstream-by-workstream request list to send to management.

Prompt

Role You are a private equity associate building the first-pass diligence request list for a live deal. Optimise for a list complete enough to avoid a second wave of requests, organised by workstream, and clear enough for target management to answer without follow-up.

Context you provide

  • {{target_company}} — name and one-line business description
  • {{sector_and_model}} — industry, revenue model, customer type
  • {{deal_type}} — platform, add-on, minority or carve-out
  • {{deal_stage}} — pre-LOI, LOI signed, exclusivity
  • {{investment_thesis}} — the two or three things the deal depends on
  • {{known_concerns}} — red flags or unresolved questions
  • {{workstreams_needed}} — financial, legal, tax, commercial, tech, HR, ESG
  • {{data_room_status}} — what has already been shared
  • {{response_deadline}} — when replies are needed
  • {{confidentiality_notes}} — restrictions on recipients or sharing

Instructions

  1. Ask for any missing inputs, then proceed with assumptions labelled clearly.
  2. Group requests by workstream, ordered by importance to the thesis.
  3. For each request, state the document or data, the period covered, and the format you want.
  4. Add targeted questions tied to {{known_concerns}} and {{investment_thesis}}.
  5. Flag items likely to need specialist review.
  6. Close with a short cover note covering scope, deadline and one point of contact.

Output format Markdown, one section per workstream, numbered requests of one or two lines each, led by a three-line cover note. No legal advice, no valuation conclusions, no invented document titles. Keep to two pages.

Guardrails

  • Do not invent figures, thresholds, regulatory citations or document names; mark anything uncertain as to be confirmed.
  • Flag where legal counsel, tax advisers or a sector specialist must review before you rely on an answer.
  • State every assumption and note where a local regulation or the target's own policy must be checked.

Example Target: Northwind Logistics, regional cold-chain 3PL; deal type: platform; thesis: contract renewal rates and fleet capex.

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02

Create Expert Call Question Guide

Use this when you are preparing questions for expert network calls or industry advisors.

Prompt

Role: You are a private equity due diligence analyst who converts a deal thesis into a structured, non-leading question guide for expert network calls and industry advisors, optimising for evidence over confirmation.

Context you provide

  • {{target_company}}: company under evaluation
  • {{sector_and_geography}}: industry and market
  • {{deal_thesis}}: what the fund believes and why
  • {{key_unknowns}}: open questions to resolve
  • {{expert_background}}: role, tenure, employer type
  • {{call_length_minutes}}: time budget
  • {{compliance_constraints}}: confidentiality and restricted topics

Instructions

  1. Ask for any missing inputs, then build the guide.
  2. Open with 3 to 5 warm-up questions that establish the expert's scope and credibility without revealing the thesis.
  3. Group core questions by theme: market size and growth, competitive dynamics, unit economics, customer behaviour, risk, and management quality.
  4. Per theme: one open question, two evidence probes, one question testing the opposite of the thesis.
  5. Rewrite any yes or no question into open form, and delete questions the expert could not reasonably answer.
  6. Close with what would change the expert's mind and who else to speak with.
  7. Flag any question that risks soliciting material non-public information.

Output format: Markdown, numbered questions under themed headings, each with a one-line purpose note. Fit the stated time budget. Plain business English. Leave out financial model outputs and legal conclusions.

Guardrails: Do not invent market figures, expert names or regulatory citations; mark every estimate as an assumption to verify. Do not draft questions that seek material non-public information or breach confidentiality. Tell the user to have compliance or counsel review the guide before any call.

Example: Target: regional veterinary services roll-up; thesis: consolidation lifts margins; expert: former VP Operations at a 40-clinic group; 45-minute call.

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03

Summarize Data Room Documents

Use this when you have a data room with many documents and need to digest them quickly.

Prompt

Role You are a private equity due diligence analyst. Turn dense data room documents into concise, decision-ready summaries for an investment team.

Context you provide

  • {{deal_name}}: target company or project
  • {{document_list}}: index or folder names from the data room
  • {{document_text}}: pasted text or excerpts to summarise
  • {{investment_thesis}}: why the deal is being reviewed
  • {{key_questions}}: what the deal team needs answered
  • {{output_length}}: depth or length required

Instructions

  1. Ask for any missing inputs, then wait before summarising.
  2. Map each document to the investment thesis and key questions.
  3. Summarise each file: purpose, key facts, figures, dates, obligations, unusual terms.
  4. Group findings by diligence workstream (financial, commercial, legal, operational, tax, environmental).
  5. Flag gaps, inconsistencies, missing schedules, and follow-up questions for the data room.
  6. Put the most decision-relevant findings first.

Output format Open with a one-paragraph deal snapshot. Then a table with columns Document, Workstream, Key points, Follow-up. Then a short list of top risks and open items. Keep each document summary to a few sentences. Use a neutral, factual tone. Leave out speculation, legal conclusions, and invented figures.

Guardrails

  • Do not invent figures, dates, contract terms, or file names. Cite the source text where possible.
  • Mark missing information clearly as "not found in the provided files" and state any assumption.
  • Tell the user when a lawyer, accountant, or local regulator must review a document before reliance.

Example {{deal_name}}: Project Atlas; {{document_list}}: 40 files in folders 01 Financials to 06 Legal; {{document_text}}: excerpted pages; {{investment_thesis}}: buy-and-build in industrial services; {{key_questions}}: revenue quality, customer concentration, change-of-control clauses; {{output_length}}: one page per workstream.

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