option
Maison Liste de prompts IA Entraînement mental Tuteur de la méthode Feynman

Tuteur de la méthode Feynman

Cette invite configure une IA comme tuteur de la technique Feynman, guidant les utilisateurs afin qu'ils affinent leurs explications des concepts pour plus de simplicité et de clarté, principalement à des fins éducatives et d'auto-apprentissage.

Contenu du prompt Copier

Act as a Feynman method tutor. When I explain a concept to you, assess my explanation for clarity, completeness, and its ability to make the concept understandable to someone unfamiliar with it—as if explaining to a child. If my explanation does not meet these standards, ask guiding questions to help me refine it until I grasp the concept fully. If it meets expectations, provide feedback so I can proceed to the next explanation.

Copier

Agissez comme un tuteur selon la méthode Feynman. Lorsque je vous explique un concept, évaluez la clarté et l'exhaustivité de mon explication, ainsi que sa capacité à rendre le concept compréhensible pour quelqu'un qui ne le connaît pas, comme si vous l'expliquiez à un enfant. Si mon explication ne répond pas à ces critères, posez-moi des questions pour m'aider à l'affiner jusqu'à ce que je comprenne pleinement le concept. Si elle répond à vos attentes, donnez-moi votre avis afin que je puisse passer à l'explication suivante.

Copier
commentaires (4)
0/300
JoseLewis
JoseLewis 29 mai 2026 15:26:32 UTC+02:00

Been testing the Feynman method tutor prompt while prepping for a thermodynamics exam. It really forces me to simplify complex ideas without jargon, but sometimes the guiding questions feel a bit generic. I'd love it if the prompt could adapt based on the topic's difficulty level. Still, solid tool for active recall! ⚛️

NicholasAdams
NicholasAdams 9 avril 2026 08:26:32 UTC+02:00

This prompt is a solid tool for learning! The Feynman method angle is clever, but I wish it gave a bit more specific praise when you do well, not just corrections. It's great for breaking down tough topics. Maybe add an option for different difficulty levels?

StevenAdams
StevenAdams 21 mars 2026 18:26:41 UTC+01:00

Honestly, the structure is really cool for learning deep topics. I tried explaining quantum entanglement and it kept asking me 'how would you describe that to a 10-year-old?'. Forced me to strip away the jargon! The back-and-forth questions feel genuinely helpful, not just a checklist. My minor gripe? Sometimes I'd prefer if the AI gave one tiny concrete example after my good try, instead of just saying 'good'. But really solid for self-study 🧠

LarryMartinez
LarryMartinez 12 mars 2026 19:26:32 UTC+01:00

Just tried this prompt to get better at explaining work stuff. It actually caught a couple of my jargon-heavy sentences and asked me simple questions that made me rethink my approach. Solid tool for forcing clarity, though it can feel a bit repetitive if you're almost there. It's like having a patient study buddy.

Recommandation

Exercice de déduction logique pour nouveau lancement
Work through each of the three alternative plans for the upcoming new consumer headphone launch, sort through the causal links between each part of the plan from guest invitation procedures, traffic delivery pacing to on-site conversion design, spot places where logical derivation is broken or contradictory, then organize a complete and coherent derivation chain for each plan after logical verification.
Entraînement au priorisation des besoins
Work through 10 collected product requirements from an internet product manager, analyze each one from the three core dimensions of business value, development cost and user impact, work out a reasonable priority order, and explain the reasoning for each requirement’s position to build product decision logic thinking.
Entraînement logique décisionnel PM
Deconstruct the decision-making logic of three core function updates from three leading Chinese short-video apps in the past half year from three aspects: timing of following competitor functions, matching user pain points, and balancing commercial revenue, to help new product managers practice deriving competitor decision ideas from public information, then provide one new case in the same field for learners to practice on their own.
Entraînement au raisonnement logique de lancement
Work through a new flavor sparkling water product targeting young consumers, sort out core possible issues during launch from market research, competitor benchmarking, supply chain adaptation and marketing cost control, organize causal links between each issue, offer launch decision directions under different variables and complete a full logical reasoning of the project.
Exercice de priorisation des besoins PM
You have a set of pending requirements collected by an internet product manager: optimize payment page loading speed, add personalized user recommendation, fix occasional crash bug on product detail page, add member points redemption entry, adjust homepage banner layout. As a product manager of a small and medium e-commerce app, analyze each from user coverage, development cost and business revenue, then give a reasonable sorting result and explain your thinking to practice decision logic under limited resources.
Formation à la priorisation des exigences produit
You will work with a real scenario at an internet startup: the R&D team has 4 weeks of total available development time, with 7 requirements from different stakeholders: a new user sharing campaign from the CEO, product recommendation optimization for conversion from operations, automatic after-sales ticket classification from customer service, exclusive data export for paid big clients from sales, registration flow optimization at personal info page from UX research, unified component library design for efficiency from the designer, and fixing an occasional loading bug at product detail page from the PM. Sort all requirements by priority based on business value, ROI and urgency, and explain your step-by-step thinking to help new product managers build clear requirement prioritization thinking.
OR