Due diligence
Due diligence is a systematic investigation and evaluation of relevant information, conditions, risks, and responsibilities before making a significant decision or commitment.
Think Like a CTO
Due diligence is a systematic investigation and evaluation performed before making a significant decision or accepting responsibility.
- How it is used
- Supports acquisition and technology decisions by testing whether an organization or solution fits the buyer’s intended purpose.
- How deep it goes
- Develops a conversational investigation, preparation checklist, and findings report; leaves the exact questions dependent on the transaction’s goals.
- Examples
- Uses a home inspection, contrasting TV buyers, and a database failure risk to illustrate purpose, scope, and reporting.
- What you can do after
- Practice/perform a goal-led technology review and present consequential, evidence-backed findings to decision-makers.
Tech Startup Toolkit
Due diligence is a systematic investigation and verification of a company, transaction, or investment before a decision is made.
- How it is used
- Prepares founders for investor or buyer review before a financing or exit decision.
- How deep it goes
- Provides a definition, ownership model, risk rationale, data-room advice, and a 49-item preparation checklist.
- Examples
- Uses an angel-group pitch that triggered review and checklist artifacts for financing, technology, product, market, team, and financials.
- What you can do after
- Apply it via a data room by assembling answers and documents before investor meetings.
The Complete Obsolete Guide to Generative AI
Due diligence is the investigation and verification of relevant information before making a financial or business decision.
- How it is used
- Supports investment research by extracting and interpreting relevant information from lengthy company filings.
- How deep it goes
- Demonstrates document conversion, focused questioning, ratio interpretation, and risk review, but stops short of independent investment judgment.
- Examples
- Uses Tesla’s 2021 Form 10-K, balance-sheet tables, liquidity figures, risk questions, and current and debt-to-equity ratios.
- What you can do after
- Apply it via ChatPDF to interrogate lengthy filings and organize candidate-investment evidence for further verification.
Read how The Complete Obsolete Guide to Generative AI explains due diligence →
"Looks Good to Me"
The careful and thorough attention required to fulfill professional responsibilities and assess work appropriately.
- How it is used
- Frames code reviews, testing, documentation, and pull-request preparation as core professional responsibilities.
- How deep it goes
- Provides practical review and planning tactics, stopping short of a formal checklist or detailed implementation procedure.
- Examples
- Uses self-reviewed pull requests, smaller feature changes, review milestones, offline discussions, and recorded outcomes as examples.
- What you can do after
- Practice/perform more responsible reviews by preparing clear changes, reducing avoidable delays, and documenting review decisions.
Related concepts
- role-playing scenariouses · A role-playing scenario is a structured interaction or simulation in which participants or systems adopt specified roles or perspectives and respond accordingly.
- data roomuses · A data room is a controlled repository for securely storing and sharing confidential information during transactions, investigations, or due diligence.
- goaluses · A goal is a desired outcome or state that an actor or system aims to achieve and that can guide action or evaluation.
- acquisitionused by · An acquisition is a transaction in which one organization obtains ownership or control of another organization or its assets.
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