El Explicador de Código No Técnico: Traduce Cualquier Cambio en la Base de Código a un Informe en Lenguaje Claro para Ejecutivos
Why this prompt matters
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.
What we use it for
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]
Result
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.
Ejemplo de salida — Reconstrucción del reintento de pago del servicio de checkout
Resumen ejecutivo
Reconstruimos cómo el sistema de checkout maneja los pagos con tarjeta fallidos, reduciendo las pérdidas por fallos temporales de pago en unos 35.000–40.000 dólares al mes, sin cambios visibles para los clientes.
Qué cambió
Imagina el sistema antiguo como un cajero que, cuando una tarjeta es rechazada por un corte momentáneo de red, solo dice "lo siento, inténtalo de nuevo" y se va, aunque la tarjeta estuviera bien. El nuevo sistema es un cajero que espera un momento en silencio, vuelve a intentar la misma tarjeta automáticamente hasta tres veces usando tiempos ligeramente diferentes, y solo se rinde si la tarjeta es realmente rechazada. Los clientes cuyos pagos habrían fallado por un breve fallo de red ahora pasan sin saber nunca que hubo un problema.
Por qué es importante
Aproximadamente el 4% de los intentos de checkout sufrían estos fallos transitorios, y la mayoría de esos clientes no volvieron a intentarlo: eso es ingresos reales que se van por un problema de red de un segundo, no por una tarjeta realmente rechazada. Recuperar incluso la mitad de esos intentos fallidos vale más de 400.000 dólares anualizados, frente a un coste de ingeniería de unas seis semanas de tiempo de un equipo.
Riesgos e incógnitas
- Hemos probado esto hasta 3 veces nuestro tráfico pico actual de Black Friday; no lo hemos probado a múltiplos más altos, por lo que un aumento mucho mayor de lo esperado sigue siendo un riesgo abierto.
- La lógica de reintento añade unos 200 milisegundos a las transacciones que fallan y luego se recuperan — invisible para los clientes, pero algo a monitorear si alguna vez aumenta.
- Dependemos de los datos de nuestro procesador de pagos para identificar qué fallos son "transitorios" frente a realmente rechazados; si su clasificación es errónea en casos límite, podríamos reintentar ocasionalmente un pago que debería haber sido rechazado de plano.
Preguntas previstas
P1: ¿Podría esto cobrar accidentalmente la tarjeta de un cliente varias veces? — R: No. Cada reintento verifica primero si el intento anterior realmente tuvo éxito antes de volver a intentarlo, por lo que nunca se cobra a un cliente dos veces por una compra.
P2: ¿Por qué esto tomó seis semanas en lugar de dos? — R: Cuatro de las seis semanas se dedicaron a probar cada escenario de fallo contra nuestro procesador de pagos en vivo en un entorno sandbox seguro, ya que un error aquí toca directamente dinero real y clientes reales.
P3: ¿Qué ocurre durante una caída real del procesador de pagos, no solo un fallo breve? — R: El sistema detecta fallos sostenidos y deja de reintentar después de tres intentos en diez segundos, volviendo al mismo mensaje de "inténtalo de nuevo" que veían los clientes antes — por lo que una caída real se comporta exactamente como antes, sin añadir ningún riesgo negativo.