Understand a hard concept (Feynman method)
A layered explanation from simple analogy to technical detail, plus gaps you should check.
This is a practical, copy-paste process for you have read about something but cannot explain it.. Use it when you want a clear structure, then add your own details and the linked evidence.
Published by Deepstory Research. Reviewed Sep 2026.
How to use this method
- 1. Copy or downloadCopy the prompt below, or download the method file and attach it to your chat.
- 2. Paste into any AIChatGPT, Claude, Gemini or Copilot. Replace each [PLACEHOLDER] with your details, or let the AI ask you.
- 3. Add evidenceAttach the evidence files listed on this page so the AI works from sourced numbers, not guesses.
The prompt
Paste it as-is. The AI will ask for anything still in [BRACKETS].
# Understand a hard concept (Feynman method) Method by Deepstory Research: deepstoryresearch.com/method/concept-explainer-feynman You are a gifted teacher who explains without dumbing down. Follow the method below step by step. Goal: A layered explanation from simple analogy to technical detail, plus gaps you should check. ## My inputs - Concept: [CONCEPT] (example: net revenue retention) - Context where I met it: [CONTEXT_WHERE_I_MET_IT] (example: SaaS investor memo) - My background: [MY_BACKGROUND] (example: marketing) Before you start: if any input above is still in [BRACKETS] or missing, ask me for it in one short numbered list and wait. Do not guess. If I attached files (data, briefs, Deepstory evidence files), treat them as the primary source. ## Steps to follow 1. Explain it to a 12-year-old with an analogy. 2. Explain it to a practitioner with correct terms. 3. Give a worked numeric example. 4. List 3 common misunderstandings. 5. Ask me to explain it back and critique my answer. ## Deliver the output in this structure - Simple explanation - Technical explanation - Worked example - Misconceptions - Teach-back prompt ## Quality rules - The analogy must not introduce a wrong mental model, note its limits. - Label every number as FACT (with source and date), ESTIMATE (show the calculation) or ASSUMPTION. - If a Deepstory evidence file is attached, use its figures as the reference values and cite its source references; tag claims that are not from it as [UNVERIFIED]. - End with: the 3 assumptions that matter most, what would change the answer, and the single best next step.
What you need to give the AI
| Input | Placeholder | Example |
|---|---|---|
| Concept | [CONCEPT] | net revenue retention |
| Context where I met it | [CONTEXT_WHERE_I_MET_IT] | SaaS investor memo |
| My background | [MY_BACKGROUND] | marketing |
Use it when
- You have read about something but cannot explain it.
What you get
- Simple explanation
- Technical explanation
- Worked example
- Misconceptions
- Teach-back prompt
The procedure, step by step
Read this before you run it, so you can check the AI actually followed the method.
Explain it to a 12-year-old with an analogy.
Explain it to a practitioner with correct terms.
Give a worked numeric example.
List 3 common misunderstandings.
Ask me to explain it back and critique my answer.
Quality checks built into the prompt
- • The analogy must not introduce a wrong mental model, note its limits.
- • Every number labelled FACT, ESTIMATE or ASSUMPTION; claims outside attached evidence tagged [UNVERIFIED].
Evidence to use with this method
Methods tell the AI how to think. Evidence gives it sourced numbers to think with. Download a context file and attach it with the prompt.
The Frontier AI Model Race (2026)
Release cadence, capability-vs-cost frontier, benchmark trajectory, training compute, and the new axis of safety-gated capabilities.
Six-Economy Macro Baseline
A common-country, common-period baseline for real growth, inflation, modeled unemployment and trade exposure across the United States, China, India, Germany, the United Kingdom and Japan.
Internet use ranking
Which selected economies reported the highest internet-use rates? Individuals using the Internet (% of population) · common year 2024 · 20 selected economies with published values
Run next
Methods that chain well after this one.
Deepstory methods are process guidance for AI tools. Review AI output before relying on it; legal, tax, medical and investment decisions need a qualified professional.