L'Explicateur de Code Non Technique : Traduire Tout Changement de Code en un Briefing en Langage Clair pour les Dirigeants
Pourquoi ce prompt est important
When engineers describe technical work in technical language, non-technical decision-makers either disengage entirely or approve budgets, headcount, and roadmaps based on a garbled mental model of what was actually built. That gap gets expensive in three specific places: incident postmortems executives can't follow, board meetings where a legitimate architecture investment gets mistaken for gold-plating and gets cut, and performance cycles where genuinely hard engineering work reads on paper as 'nothing visible shipped.' A five-minute plain-English briefing, prepared once with a structured prompt, prevents all three.
À quoi nous l'utilisons
Your engineering team just finished a six-week rebuild of the checkout service, and tomorrow morning you present it to the VP of Product and two board members who have no engineering background. You have fifteen minutes to explain what changed, why it mattered, and what risk remains, and if you reach for words like 'idempotency' or 'horizontal scaling' you will lose the room in the first sentence.
Prompt
Act as a technical communication specialist who translates complex engineering work into clear, accurate briefings for non-technical audiences — executives, board members, product managers, and sales leaders who need to make decisions based on your explanation, not admire your vocabulary. CONTEXT: - System or change being explained: [DESCRIBE THE CODE, FEATURE, MIGRATION, OR INCIDENT — e.g. "rebuilt the checkout service's payment retry logic"] - Audience: [WHO YOU ARE BRIEFING — e.g. "VP of Product and two board members, no engineering background"] - Business stakes: [WHY THIS MATTERS COMMERCIALLY — e.g. "reduces failed payment retries that were costing ~$40K/month in lost orders"] - Known risks or open questions: [WHAT COULD STILL GO WRONG OR IS UNRESOLVED — e.g. "not yet load-tested above 3x current peak traffic"] - Meeting format: [LENGTH AND SETTING — e.g. "10-minute slot in a 45-minute board meeting, no slides allowed"] TASK: Produce a plain-English briefing with five parts: 1. A one-sentence executive summary stating what was done and why it matters, in language a non-technical reader understands on first read. 2. An explanation of what changed, built entirely around a real-world analogy (not a technical diagram or code reference). 3. Why it matters to the business — tie directly to cost, revenue, risk, or customer experience, using the business stakes provided above. 4. Remaining risks or unknowns, stated honestly — do not create false confidence where none exists. 5. Three questions this specific audience is likely to ask, each with a prepared, non-defensive answer. CONSTRAINTS: - No jargon, acronyms, or technical terms without an immediate plain-English definition in the same sentence. - No code snippets, architecture diagrams, or system names unless the audience specifically asked for them. - Total length under 400 words — executives lose patience past that. - Match tone and formality to the audience described above; a board gets more formal language than a product manager. - If something is genuinely uncertain or unresolved, say so plainly rather than papering over it with confident-sounding hedges. OUTPUT FORMAT: ## Executive Summary [1-2 sentences] ## What Changed [Analogy-based explanation, 2-4 sentences] ## Why It Matters [2-3 sentences tied to business stakes] ## Risks & Unknowns [Bulleted, honest, 2-4 items] ## Anticipated Questions Q1: [likely question] — A: [prepared answer] Q2: [likely question] — A: [prepared answer] Q3: [likely question] — A: [prepared answer]
Résultat
Example output — checkout service payment retry rebuild
Executive Summary
We rebuilt how the checkout system handles failed card payments, cutting lost sales from temporary payment glitches by an estimated $35,000-$40,000 per month, with no changes visible to customers.
What Changed
Think of the old system like a cashier who, when a card gets declined for a split-second network hiccup, just tells the customer "sorry, try again" and walks away — even though the card was actually fine. The new system is a cashier who quietly waits a moment, tries the same card again automatically up to three times using slightly different timing, and only gives up if the card is genuinely declined. Customers whose payments would have failed due to a brief network blip now go through without ever knowing there was a problem.
Why It Matters
Roughly 4% of checkout attempts were hitting these transient failures, and most of those customers didn't come back to try again — that's real revenue walking away over what was often a one-second network issue, not an actual declined card. Recovering even half of those failed attempts is worth well over $400,000 annualized, against an engineering cost of roughly six weeks of one team's time.
Risks & Unknowns
- We've tested this at up to 3x our current peak Black Friday traffic; we have not tested it at higher multiples, so a much larger-than-expected surge is still an open risk.
- The retry logic adds about 200 milliseconds to failed-then-recovered transactions — invisible to customers, but something to monitor if it ever creeps higher.
- We're relying on our payment processor's data to identify which failures are "transient" versus genuinely declined; if their classification is wrong in edge cases, we could occasionally retry a payment that should have been rejected outright.
Anticipated Questions
Q1: Could this accidentally charge a customer's card multiple times? — A: No. Each retry checks first whether the previous attempt actually succeeded before trying again, so a customer is never charged twice for one purchase.
Q2: Why did this take six weeks instead of two? — A: Four of the six weeks went into testing every failure scenario against our live payment processor in a safe sandbox environment, since a mistake here directly touches real money and real customers.
Q3: What happens during a real payment processor outage, not just a blip? — A: The system detects sustained failures and stops retrying after three attempts within ten seconds, falling back to the same "please try again" message customers saw before — so a genuine outage behaves exactly as it did previously, just with no downside risk added.
Exemple de sortie — Reconstruction de la relance de paiement du service de checkout
Résumé exécutif
Nous avons reconstruit la façon dont le système de checkout gère les paiements par carte échoués, réduisant les pertes dues aux incidents temporaires de paiement d'environ 35 000 à 40 000 dollars par mois, sans aucun changement visible pour les clients.
Ce qui a changé
Imaginez l'ancien système comme un caissier qui, lorsqu'une carte est refusée à cause d'un bref problème de réseau, dit simplement "désolé, réessayez" et s'en va — alors que la carte était en fait valide. Le nouveau système est un caissier qui attend tranquillement un instant, réessaie automatiquement la même carte jusqu'à trois fois avec un timing légèrement différent, et n'abandonne que si la carte est réellement refusée. Les clients dont les paiements auraient échoué à cause d'un petit souci réseau passent désormais sans jamais savoir qu'il y avait un problème.
Pourquoi c'est important
Environ 4 % des tentatives de checkout rencontraient ces échecs transitoires, et la plupart de ces clients ne revenaient pas pour réessayer — c'est un revenu réel qui s'envole à cause d'un problème réseau d'une seconde, pas d'un véritable refus de carte. Récupérer ne serait-ce que la moitié de ces tentatives échouées vaut bien plus de 400 000 dollars annualisés, contre un coût d'ingénierie d'environ six semaines de travail d'une équipe.
Risques et inconnues
- Nous avons testé ce système jusqu'à 3 fois notre trafic actuel de pointe du Black Friday ; nous ne l'avons pas testé à des multiples plus élevés, donc une augmentation bien plus importante que prévu reste un risque ouvert.
- La logique de relance ajoute environ 200 millisecondes aux transactions échouées puis récupérées — invisible pour les clients, mais à surveiller si cela devait grimper.
- Nous nous appuyons sur les données de notre processeur de paiement pour identifier quels échecs sont "transitoires" par rapport à un véritable refus ; si leur classification est erronée dans des cas limites, nous pourrions occasionnellement réessayer un paiement qui aurait dû être carrément rejeté.
Questions anticipées
Q1 : Cela pourrait-il débiter accidentellement la carte d'un client plusieurs fois ? — R : Non. Chaque relance vérifie d'abord si la tentative précédente a réellement réussi avant de réessayer, donc un client n'est jamais facturé deux fois pour un seul achat.
Q2 : Pourquoi cela a-t-il pris six semaines au lieu de deux ? — R : Quatre des six semaines ont été consacrées à tester chaque scénario d'échec contre notre processeur de paiement en direct dans un environnement sandbox sécurisé, car une erreur ici touche directement de l'argent réel et de vrais clients.
Q3 : Que se passe-t-il lors d'une véritable panne du processeur de paiement, pas juste un incident bref ? — R : Le système détecte les échecs persistants et arrête les relances après trois tentatives en dix secondes, revenant au même message "veuillez réessayer" que les clients voyaient avant — donc une panne réelle se comporte exactement comme avant, sans ajouter aucun risque négatif.