{"id":482,"date":"2026-03-01T13:05:53","date_gmt":"2026-03-01T13:05:53","guid":{"rendered":"https:\/\/www.visualize-ai.com\/es\/mastering-the-empathy-map-canvas-a-comprehensive-guide-to-user-centric-design\/"},"modified":"2026-03-01T13:05:53","modified_gmt":"2026-03-01T13:05:53","slug":"mastering-the-empathy-map-canvas-a-comprehensive-guide-to-user-centric-design","status":"publish","type":"post","link":"https:\/\/www.visualize-ai.com\/es\/mastering-the-empathy-map-canvas-a-comprehensive-guide-to-user-centric-design\/","title":{"rendered":"Dominar el mapa de empat\u00eda: una gu\u00eda completa para el dise\u00f1o centrado en el usuario"},"content":{"rendered":"<h2>Introducci\u00f3n<\/h2>\n<p>En el panorama de la gesti\u00f3n moderna de productos y el dise\u00f1o de experiencia de usuario, comprender al usuario final no es simplemente una ventaja; es una necesidad. El mapa de empat\u00eda constituye un marco fundamental dentro de este \u00e1mbito, permitiendo a los equipos ir m\u00e1s all\u00e1 de los datos demogr\u00e1ficos y adentrarse en la realidad emocional y psicol\u00f3gica de sus clientes. Esta gu\u00eda explora la aplicaci\u00f3n estrat\u00e9gica del mapa de empat\u00eda, reforzada por las capacidades avanzadas de la herramienta impulsada por inteligencia artificial de Visual Paradigm Online.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/canvas.visual-paradigm.com\/wp-content\/uploads\/2025\/10\/Empathy-Map-Canvas-layout-1024x540.png\"\/><\/p>\n<h2>Conceptos clave: comprensi\u00f3n del mapa de empat\u00eda<\/h2>\n<p>Antes de adentrarse en la ejecuci\u00f3n, es fundamental definir los componentes centrales que convierten al mapa de empat\u00eda en una herramienta vital en el pensamiento de dise\u00f1o y la estrategia empresarial.<\/p>\n<h3>\u00bfQu\u00e9 es un mapa de empat\u00eda?<\/h3>\n<p>Un mapa de empat\u00eda es una herramienta de visualizaci\u00f3n colaborativa utilizada para expresar lo que un equipo de dise\u00f1o sabe sobre un tipo espec\u00edfico de usuario. Externaliza el conocimiento sobre los usuarios con el fin de 1) crear una comprensi\u00f3n compartida de las necesidades del usuario, y 2) ayudar en la toma de decisiones. A diferencia de una persona, que se centra en qui\u00e9n es el usuario, un mapa de empat\u00eda se centra en la experiencia sensorial y emocional del usuario.<\/p>\n<h3>Los cuatro cuadrantes<\/h3>\n<p>Aunque los dise\u00f1os pueden variar, la estructura fundamental de un mapa de empat\u00eda generalmente gira en torno a cuatro cuadrantes clave relacionados con la experiencia del usuario frente a un problema o producto:<\/p>\n<ul>\n<li><strong>Dice:<\/strong>Citas textuales directas o palabras clave significativas que el usuario pronuncia durante entrevistas o pruebas de usabilidad.<\/li>\n<li><strong>Piensa:<\/strong>El mon\u00f3logo interno del usuario. Esto captura motivaciones, objetivos no expresados y l\u00f3gica que podr\u00edan tener dificultad para compartir p\u00fablicamente.<\/li>\n<li><strong>Hace:<\/strong>Comportamientos observados y acciones f\u00edsicas. Esto documenta c\u00f3mo el usuario interact\u00faa con un sistema o gestiona un flujo de trabajo.<\/li>\n<li><strong>Siente:<\/strong>El estado emocional del usuario, a menudo representado por adjetivos (por ejemplo, frustrado, ansioso, encantado) y las causas ra\u00edz de esas emociones.<\/li>\n<\/ul>\n<h2>VP IA: Mejorando la investigaci\u00f3n de usuarios con inteligencia artificial<\/h2>\n<p>Visual Paradigm (VP) Online ha integrado inteligencia artificial para transformar el lienzo tradicional y est\u00e1tico en un socio estrat\u00e9gico din\u00e1mico. Aqu\u00ed se explica c\u00f3mo la IA de VP automatiza y mejora el proceso del mapa de empat\u00eda:<\/p>\n<p><img alt=\"\" decoding=\"async\" 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\"\/><\/p>\n<h3>Generaci\u00f3n instant\u00e1nea del lienzo<\/h3>\n<p>El problema del &#8216;arranque fr\u00edo&#8217; es com\u00fan en las sesiones de lluvia de ideas. La IA de VP lo mitiga mediante<strong>Creaci\u00f3n instant\u00e1nea del lienzo con IA<\/strong>. Al introducir simplemente un prompt que describa un escenario de usuario\u2014por ejemplo, &#8216;un comprador de coche el\u00e9ctrico por primera vez&#8217;\u2014la IA genera un lienzo completamente lleno. Esto proporciona una base estructurada que los equipos pueden afinar en lugar de construir desde cero.<\/p>\n<h3>Generaci\u00f3n inteligente de ideas y conciencia contextual<\/h3>\n<p>Cuando los equipos se enfrentan a un bloqueo creativo, la<strong>Mejora de generaci\u00f3n inteligente de ideas<\/strong>ofrece sugerencias contextualizadas para secciones espec\u00edficas. Si un equipo tiene dificultades para expresar lo que un usuario podr\u00eda &#8216;pensar&#8217; respecto a un punto de dolor espec\u00edfico, la IA analiza el contexto circundante del mapa y sugiere pensamientos internos plausibles, descubriendo oportunidades que los investigadores humanos podr\u00edan pasar por alto.<\/p>\n<h3>Validaci\u00f3n estrat\u00e9gica y reportes<\/h3>\n<p>Visual Paradigm va m\u00e1s all\u00e1 del mero mapeo al ofrecer<strong>Revisi\u00f3n estrat\u00e9gica impulsada por IA<\/strong>. Una vez que se completa un mapa de empat\u00eda, la IA puede generar informes derivados, como un an\u00e1lisis SWOT o una verificaci\u00f3n de preparaci\u00f3n del mercado basada espec\u00edficamente en los datos del usuario en el mapa. Esto garantiza que los datos cualitativos del mapa de empat\u00eda informen directamente las estrategias cuantitativas de negocio.<\/p>\n<h2>Gu\u00edas: C\u00f3mo crear un mapa de empat\u00eda efectivo<\/h2>\n<p>Crear un mapa de empat\u00eda valioso requiere un enfoque estructurado. Siga estas gu\u00edas paso a paso para asegurarse de que su lienzo produzca insights accionables.<\/p>\n<h3>Paso 1: Defina el sujeto y el objetivo<\/h3>\n<p>Identifique claramente a qui\u00e9n est\u00e1 mapeando y el alcance del escenario. \u00bfEst\u00e1 mapeando un usuario gen\u00e9rico o una persona espec\u00edfica? \u00bfEst\u00e1 analizando su d\u00eda completo o solo su interacci\u00f3n con una caracter\u00edstica espec\u00edfica? La precisi\u00f3n aqu\u00ed evita el desbordamiento del alcance.<\/p>\n<h3>Paso 2: Recopile investigaciones cualitativas<\/h3>\n<p>Los mapas de empat\u00eda deben basarse en datos, no en suposiciones. Agregue notas de entrevistas con usuarios, respuestas de encuestas y estudios observacionales. Si utiliza Visual Paradigm, puede importar estos hallazgos a las notas del lienzo antes de organizarlos.<\/p>\n<h3>Paso 3: Rellene los cuadrantes<\/h3>\n<p>Trabaje a trav\u00e9s de los cuatro cuadrantes (Dice, Piensa, Hace, Siente). A menudo es \u00fatil comenzar con rasgos observables (Dice\/Hace) antes de inferir los estados internos (Piensa\/Siente). Use notas adhesivas o etiquetas digitales para mantener los elementos m\u00f3viles.<\/p>\n<h3>Paso 4: Sintetice e identifique patrones<\/h3>\n<p>Busque contradicciones. Por ejemplo, \u00bfel usuario <em>dice<\/em> que le importa la seguridad pero <em>hace<\/em> utilizar contrase\u00f1as d\u00e9biles? Estas contradicciones a menudo revelan las oportunidades de dise\u00f1o m\u00e1s valiosas.<\/p>\n<h3>Paso 5: Valide y exporte<\/h3>\n<p>Revise el mapa con los interesados. Visual Paradigm permite <strong>exportaciones profesionales<\/strong> a PDF o Word, lo que facilita presentar hallazgos a equipos directivos o clientes que podr\u00edan no estar involucrados en el proceso de redacci\u00f3n.<\/p>\n<h2>Aplicaciones del mundo real<\/h2>\n<p>Para comprender mejor la versatilidad de esta herramienta, considere estos escenarios en los que un mapa de empat\u00eda genera valor:<\/p>\n<ul>\n<li><strong>Tecnolog\u00eda de la informaci\u00f3n en salud:<\/strong>Mapear a \u2018una enfermera durante un turno ca\u00f3tico\u2019 revela que, aunque el usuario dice que quiere datos completos, \u00e9l <em>siente<\/em> abrumado, lo que indica la necesidad de una interfaz simplificada y de alto contraste, en lugar de un panel con muchas funciones.<\/li>\n<li><strong>Fintech:<\/strong>Para un \u2018due\u00f1o de peque\u00f1a empresa que gestiona finanzas\u2019, el mapa podr\u00eda destacar que ellos <em>piensan<\/em>la contabilidad es intimidante, lo que sugiere que el software debe usar un lenguaje sencillo en lugar de jerga financiera t\u00e9cnica.<\/li>\n<li><strong>Investigaci\u00f3n de usuarios:<\/strong> Analizar a un &#8216;comprador de coche el\u00e9ctrico por primera vez&#8217; puede revelar la ansiedad espec\u00edfica respecto al alcance (ansiedad por el alcance) frente al orgullo ambiental que sienten, guiando el mensaje de marketing para abordar los miedos mientras valida los valores.<\/li>\n<\/ul>\n<h2>Consejos y trucos para un impacto m\u00e1ximo<\/h2>\n<p>Optimiza tu uso del mapa de empat\u00eda con estas sugerencias pr\u00e1cticas:<\/p>\n<ul>\n<li><strong>Utiliza el modo enfoque:<\/strong> En Visual Paradigm Online, cambia a <strong>Modo enfoque<\/strong> para ver una secci\u00f3n a la vez. Esto reduce la carga cognitiva durante las sesiones de lluvia de ideas y evita que el equipo salte de forma desordenada por el mapa.<\/li>\n<li><strong>Codifica por segmento de usuario:<\/strong> Si est\u00e1s mapeando m\u00faltiples tipos de usuarios en un solo tablero, utiliza colores distintos para cada persona para visualizar d\u00f3nde se solapan o divergen las experiencias.<\/li>\n<li><strong>Aprovecha la integraci\u00f3n con la matriz de Eisenhower:<\/strong> Despu\u00e9s de identificar los puntos de dolor del usuario en la secci\u00f3n &#8216;Siente&#8217;, mueve estos elementos a un mapa de la matriz de Eisenhower para priorizar cu\u00e1les correcciones de dise\u00f1o son urgentes e importantes.<\/li>\n<li><strong>No te detengas en el mapa:<\/strong> Usa el mapa como punto de partida. Transita directamente a un <strong>Mapa Lean UX<\/strong> o <strong>Mapa del viaje del cliente<\/strong> dentro del mismo conjunto de software para visualizar c\u00f3mo cambia el estado emocional del usuario con el tiempo.\n<div class=\"cl-preview-section\" style='color: rgba(0, 0, 0, 0.75); font-family: Lato, \"Helvetica Neue\", Helvetica, sans-serif; font-size: 18px; font-variant-ligatures: common-ligatures; background-color: rgb(243, 243, 243);'>\n<h2 id=\"resource\" style=\"margin-top: 0px; margin-bottom: 1.8em; line-height: 1.33;\">Recurso<\/h2>\n<\/div>\n<div class=\"cl-preview-section\" style='color: rgba(0, 0, 0, 0.75); font-family: Lato, \"Helvetica Neue\", Helvetica, sans-serif; font-size: 18px; font-variant-ligatures: common-ligatures; background-color: rgb(243, 243, 243);'>\n<ul style=\"margin-top: 1.2em; margin-bottom: 1.2em; margin-left: 0px;\">\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.archimetric.com\/what-is-the-business-model-canvas-why-use-visual-paradigms-ai-bmc-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">\u00bfQu\u00e9 es el mapa del modelo de negocio? \u00bfPor qu\u00e9 usar paradigmas visuales y herramientas de IA?<\/a>: Esta gu\u00eda completa explica el mapa del modelo de negocio, sus componentes principales y c\u00f3mo los paradigmas visuales y las herramientas impulsadas por IA mejoran la planificaci\u00f3n estrat\u00e9gica e innovaci\u00f3n empresarial.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai.visual-paradigm.com\/business-model-canvas-builder\/editor\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Constructor de mapas del modelo de negocio impulsado por IA \u2013 Dise\u00f1o de estrategia instant\u00e1neo<\/a>: Una herramienta impulsada por IA que automatiza la creaci\u00f3n de mapas del modelo de negocio, ofreciendo sugerencias inteligentes e insights en tiempo real para acelerar la planificaci\u00f3n empresarial.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai-toolbox.visual-paradigm.com\/app\/canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Herramienta de lienzo de IA \u2013 Dise\u00f1o inteligente para marcos empresariales<\/a>: Una aplicaci\u00f3n de lienzo impulsada por IA que ayuda a los usuarios a generar y perfeccionar modelos empresariales, propuestas de valor y marcos estrat\u00e9gicos con sugerencias inteligentes y automatizaci\u00f3n.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.visual-paradigm.com\/solution\/ai-business-model-canvas-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Herramienta de mapa del modelo de negocio con IA \u2013 Desarrollo inteligente de estrategia<\/a>: Una soluci\u00f3n integral mejorada por IA para construir y perfeccionar modelos empresariales con insights inteligentes, retroalimentaci\u00f3n en tiempo real y funciones colaborativas.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/updates.visual-paradigm.com\/releases\/ai-canvas-editor\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Actualizaci\u00f3n de lanzamiento del editor de lienzo de IA<\/a>: Introduce un editor de lienzo impulsado por IA que mejora la creaci\u00f3n de diagramas mediante sugerencias inteligentes y optimizaci\u00f3n autom\u00e1tica de disposici\u00f3n.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/guides.visual-paradigm.com\/ai-powered-business-model-canvas-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Gu\u00eda de la herramienta de mapa del modelo de negocio impulsada por IA<\/a>: Una gu\u00eda paso a paso sobre c\u00f3mo usar una herramienta mejorada por IA para generar y perfeccionar mapas del modelo de negocio con entradas inteligentes y recomendaciones en tiempo real.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/mission-model-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Mesa de Misiones | Herramienta de Estrategia con IA por VP<\/a>: 28 de octubre de 2025 \u2013 Coordina sesiones en vivo con tu equipo utilizando el temporizador integrado y exporta tu lienzo final o informes a formatos profesionales como Word, Markdown o CSV. \u2026 La Mesa de Misiones est\u00e1 especialmente dise\u00f1ada para organizaciones sin fines de lucro, agencias gubernamentales, empresas sociales y cualquier organizaci\u00f3n cuyo objetivo principal sea el logro de la misi\u00f3n en lugar de obtener beneficios.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.cybermedian.com\/comprehensive-tutorial-ai-powered-business-canvas-toolkit-with-visual-paradigm\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Tutorial completo: Kit de herramientas de lienzo empresarial con IA integrada en Visual Paradigm<\/a>: Esta p\u00e1gina ofrece una gu\u00eda detallada sobre c\u00f3mo utilizar una herramienta de lienzo de modelo empresarial con IA integrada en Visual Paradigm para el desarrollo automatizado de estrategias empresariales.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai.visual-paradigm.com\/tool\/canvas-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Herramienta de Lienzo con IA \u2013 Visual Paradigm<\/a>: Una herramienta impulsada por IA dentro de Visual Paradigm que permite a los usuarios generar y perfeccionar lienzos empresariales mediante automatizaci\u00f3n inteligente e introducci\u00f3n de texto natural.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/www.diagrams-ai.com\/blog\/mastering-the-business-model-canvas-with-ai-a-step-by-step-guide-using-visual-paradigm\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Dominar el Lienzo del Modelo de Negocio con IA: Gu\u00eda paso a paso usando Visual Paradigm<\/a>: Esta entrada de blog ofrece una gu\u00eda estructurada sobre c\u00f3mo aprovechar las capacidades de IA en Visual Paradigm para crear, personalizar y optimizar eficientemente lienzos del modelo de negocio.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/ai.visual-paradigm.com\/tool\/business-model-canvas-builder\/how-it-works\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">C\u00f3mo funciona el constructor de lienzos del modelo de negocio con IA \u2013 Visual Paradigm<\/a>: Esta p\u00e1gina explica la funcionalidad del constructor de lienzos del modelo de negocio con IA, destacando c\u00f3mo la inteligencia artificial automatiza la creaci\u00f3n de lienzos y la generaci\u00f3n de insights estrat\u00e9gicos.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/templates\/analysis-canvas\/strategy-tools\/deep-learning-ai-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Lienzo de IA de Aprendizaje Profundo | Plantilla de Lienzo de Herramientas Estrat\u00e9gicas de An\u00e1lisis<\/a>: Editar versi\u00f3n localizada: Aprendizaje profundo AI lienzo (TW) | Aprendizaje profundo AI lienzo (CN) Ver esta p\u00e1gina en: EN TW CN \u00b7 Visual Paradigm Online (VP Online) es un software de diagramas en l\u00ednea que admite lienzos de an\u00e1lisis, diversos gr\u00e1ficos, UML, diagramas de flujo, diagramas de rack, diagramas organizativos, \u00e1rboles geneal\u00f3gicos, ERD, planos de planta, entre otros.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/product-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Lienzo de Producto | Herramienta de Estrategia con IA por VP<\/a>: Crea productos que la gente ame. Combina estrategia, dise\u00f1o y retroalimentaci\u00f3n en un solo espacio visual con nuestro Lienzo de Producto con IA para llevar ideas al mercado m\u00e1s r\u00e1pido.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/lean-ux-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Lienzo Lean UX | Herramienta de Estrategia con IA por VP<\/a>: 28 de octubre de 2025 \u2013 Crea un marco estrat\u00e9gico completo en un instante. Describe simplemente tu visi\u00f3n y el generador de lienzos con IA lo transformar\u00e1 en un lienzo estructurado y lleno de insights que te ayudar\u00e1 a visualizar, planificar y perfeccionar tu pr\u00f3xima gran idea.<\/p>\n<\/li>\n<li>\n<p style=\"margin-top: 1.2em; margin-bottom: 1.2em;\"><a href=\"https:\/\/canvas.visual-paradigm.com\/lean-canvas\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">Lienzo Lean \u2013 Visual Paradigm<\/a>: 28 de octubre de 2025 \u2013 Nuestra aplicaci\u00f3n est\u00e1 dise\u00f1ada para ser tu socio estrat\u00e9gico, ofreciendo herramientas inteligentes que mejoran cada paso de tu proceso de planificaci\u00f3n para el Lienzo del Modelo de Negocio. \u2026 \u00bfTienes una idea de startup? Solo introduce &#8216;una aplicaci\u00f3n m\u00f3vil para entrega de comidas caseras locales&#8217; y deja que nuestra IA genere un Lienzo Lean completo, detallando el problema, la soluci\u00f3n y las m\u00e9tricas clave.<\/p>\n<\/li>\n<\/ul>\n<\/div>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Introducci\u00f3n En el panorama de la gesti\u00f3n moderna de productos y el dise\u00f1o de experiencia de usuario, comprender al usuario final no es simplemente una ventaja; es una necesidad. El&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_title":"Dominar el Lienzo del Mapa de Empat\u00eda | Gu\u00eda de Visual Paradigm AI","_yoast_wpseo_metadesc":"Una gu\u00eda completa sobre el Lienzo del Mapa de Empat\u00eda. 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