{"id":3332,"date":"2026-02-24T19:14:37","date_gmt":"2026-02-24T19:14:37","guid":{"rendered":"https:\/\/www.diagrams-ai.com\/pt\/mastering-the-lean-ux-canvas-a-comprehensive-guide-to-agile-product-strategy\/"},"modified":"2026-02-24T19:14:37","modified_gmt":"2026-02-24T19:14:37","slug":"mastering-the-lean-ux-canvas-a-comprehensive-guide-to-agile-product-strategy","status":"publish","type":"post","link":"https:\/\/www.diagrams-ai.com\/pt\/mastering-the-lean-ux-canvas-a-comprehensive-guide-to-agile-product-strategy\/","title":{"rendered":"Domine o Canvas UX Lean: Um Guia Abrangente para Estrat\u00e9gia de Produto \u00c1gil"},"content":{"rendered":"<h2>Introdu\u00e7\u00e3o \u00e0 Experi\u00eancia do Usu\u00e1rio Lean<\/h2>\n<p>No mundo acelerado do desenvolvimento de produtos digitais, planos de neg\u00f3cios tradicionais muitas vezes se tornam obsoletos antes mesmo de serem finalizados. Seja voc\u00ea um fundador de startup, um gerente de produto ou parte de uma <a href=\"https:\/\/guides.visual-paradigm.com\/sprint-planning-in-agile-a-step-by-step-guide-for-effective-project-management\/\">equipe \u00e1gil<\/a>, a necessidade de uma abordagem din\u00e2mica e iterativa para a estrat\u00e9gia \u00e9 fundamental. Entre no <strong>Canvas UX Lean<\/strong>, um framework desenvolvido por Jeff Gothelf que pontua a lacuna entre metas de neg\u00f3cios de alto n\u00edvel e o design centrado no usu\u00e1rio.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/canvas.visual-paradigm.com\/wp-content\/uploads\/2025\/10\/Lean-UX-Canvas-layout-1024x711.png\"\/><\/p>\n<p>Este guia explora o Canvas UX Lean em profundidade, detalhando como ajuda as equipes a enxergar seu trabalho como problemas de neg\u00f3cios a resolver, e n\u00e3o como funcionalidades a construir. Tamb\u00e9m exploraremos como ferramentas modernas, especificamente <strong>Visual Paradigm AI<\/strong>, pode revolucionar a forma como voc\u00ea preenche, analisa e implementa essas estrat\u00e9gias.<\/p>\n<h2>Conceitos-Chave<\/h2>\n<p>Antes de mergulhar nos mecanismos do canvas, \u00e9 essencial compreender as defini\u00e7\u00f5es fundamentais que impulsionam este framework.<\/p>\n<ul>\n<li><strong>UX Lean:<\/strong> Uma abordagem ao design que prioriza a colabora\u00e7\u00e3o, prototipagem r\u00e1pida e feedback do usu\u00e1rio sobre documenta\u00e7\u00e3o pesada. Combina princ\u00edpios do Design Thinking, Desenvolvimento \u00c1gil de Software e metodologia Lean Startup.<\/li>\n<li><strong>O Modelo do Canvas:<\/strong> Diferentemente de um documento linear, um <a href=\"https:\/\/www.archimetric.com\/comprehensive-tutorial-visual-paradigm-model-canvas-tool\/\">canvas \u00e9 um gr\u00e1fico visual<\/a> com elementos que descrevem a empresa ou o produto <a href=\"https:\/\/guides.visual-paradigm.com\/complete-guide-to-the-business-model-canvas-bmc\/\">proposi\u00e7\u00e3o de valor, infraestrutura, clientes e finan\u00e7as<\/a>. O Canvas UX Lean foca especificamente na valida\u00e7\u00e3o de hip\u00f3teses.<\/li>\n<li><strong>Resultados vs. Sa\u00eddas:<\/strong> Uma distin\u00e7\u00e3o cr\u00edtica no UX Lean. <em>Sa\u00eddas<\/em> s\u00e3o as funcionalidades que voc\u00ea constr\u00f3i (por exemplo, uma barra de pesquisa). <em>Resultados<\/em> s\u00e3o as mudan\u00e7as mensur\u00e1veis no comportamento do cliente que impulsionam o valor do neg\u00f3cio (por exemplo, taxas de convers\u00e3o aumentadas).<\/li>\n<li><strong>Design Orientado por Hip\u00f3teses:<\/strong> A pr\u00e1tica de tratar decis\u00f5es de design como suposi\u00e7\u00f5es que devem ser testadas e validadas por meio de experimentos, em vez de serem aceitas como fatos.<\/li>\n<\/ul>\n<h2>VP AI: Automatizando e aprimorando a planejamento estrat\u00e9gico<\/h2>\n<p>Visual Paradigm integrado intelig\u00eancia artificial avan\u00e7ada em seu <a href=\"https:\/\/www.visual-paradigm.com\/features\/canvas-tool\/\">ferramentas de canvas<\/a>para transformar a forma como as equipes planejam. Enquanto o Canvas Lean UX fornece a estrutura, <a href=\"https:\/\/www.visual-paradigm.com\/solution\/ai-business-model-canvas-tool\/\"><strong>Visual Paradigm AI<\/strong><\/a> fornece a intelig\u00eancia para preench\u00ea-lo de forma eficaz e precisa.<br \/><img alt=\"\" decoding=\"async\" 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\"\/><\/p>\n<h3>Canvas Estrat\u00e9gico Gerado por IA<\/h3>\n<p>Come\u00e7ar a partir de uma p\u00e1gina em branco \u00e9 frequentemente a parte mais dif\u00edcil da estrat\u00e9gia. Com o Visual Paradigm, voc\u00ea pode gerar um canvas inteiro a partir de uma \u00fanica ideia. Basta descrever sua vis\u00e3o, e o gerador de canvas por IA cria um rascunho estruturado e rico em insights. Isso ajuda voc\u00ea a visualizar o escopo inicial e a aprimorar sua pr\u00f3xima grande ideia sem gastar horas com formata\u00e7\u00e3o ou brainstorming inicial.<\/p>\n<h3>Motor de Gera\u00e7\u00e3o de Ideias por IA<\/h3>\n<p>Bloqueios criativos podem frear o progresso. O Motor de Gera\u00e7\u00e3o de Ideias por IA do VP oferece prompts contextualizados para cada se\u00e7\u00e3o do canvas. Seja voc\u00ea com dificuldade em definir um <em>Benef\u00edcio do Usu\u00e1rio<\/em> ou um espec\u00edfico <em>Solu\u00e7\u00e3o<\/em>, a IA sugere ideias para ampliar seu pensamento, ajudando a remover barreiras e explorar novas dire\u00e7\u00f5es estrat\u00e9gicas.<\/p>\n<h3>An\u00e1lise Completa por IA<\/h3>\n<p>Assim que seu canvas estiver preenchido, o VP AI n\u00e3o para por a\u00ed. Ele pode executar <a href=\"https:\/\/www.visual-paradigm.com\/features\/analysis-canvas-tool\/\">an\u00e1lises autom\u00e1ticas<\/a>como SWOT, Potencial de Mercado e Avalia\u00e7\u00e3o de Riscos com base nos dados do seu Canvas Lean UX. Isso transforma conceitos est\u00e1ticos em insights estrat\u00e9gicos acion\u00e1veis, permitindo que voc\u00ea teste suposi\u00e7\u00f5es e melhore a precis\u00e3o da tomada de decis\u00f5es antes de escrever uma \u00fanica linha de c\u00f3digo.<\/p>\n<h2>Diretrizes: Construindo seu Canvas Lean UX<\/h2>\n<p>Criar um Canvas Lean UX \u00e9 um <a href=\"https:\/\/canvas.visual-paradigm.com\/\">processo colaborativo<\/a>. Siga estas diretrizes passo a passo para garantir que seu canvas efetivamente bridge a lacuna entre necessidades do neg\u00f3cio e valor do usu\u00e1rio.<\/p>\n<h3>1. Defina o Problema de Neg\u00f3cios<\/h3>\n<p>Comece identificando o estado atual do neg\u00f3cio. Qual problema voc\u00ea est\u00e1 tentando resolver? Certifique-se de que isso esteja claramente expresso e n\u00e3o seja um pedido de recurso disfar\u00e7ado. Pergunte: <em>\u201cQual meta estamos falhando em alcan\u00e7ar?\u201d<\/em><\/p>\n<h3>2. Identifique os Resultados de Neg\u00f3cios<\/h3>\n<p>Determine as mudan\u00e7as no comportamento do cliente que indicar\u00e3o que voc\u00ea resolveu o problema. Esses devem ser indicadores quantitativos e qualitativos (por exemplo, aumentar a reten\u00e7\u00e3o em 10% ou reduzir os tickets de suporte).<\/p>\n<h3>3. Identifique Usu\u00e1rios e Clientes<\/h3>\n<p>Para quem voc\u00ea est\u00e1 resolvendo esse problema? Seja espec\u00edfico. Em vez de \u201ctodos\u201d, foque em personas espec\u00edficas como \u201cGerentes de Marketing Ocupados\u201d ou \u201cCompradores de Primeira Casa\u201d. Isso foca sua estrat\u00e9gia.<\/p>\n<h3>4. Articule os Benef\u00edcios do Usu\u00e1rio<\/h3>\n<p>Quais objetivos espec\u00edficos seus usu\u00e1rios est\u00e3o tentando alcan\u00e7ar? Isso n\u00e3o se trata do seu produto, mas da vida deles. Por exemplo, um benef\u00edcio do usu\u00e1rio n\u00e3o \u00e9 \u201csalvar um arquivo\u201d, mas sim \u201cter a tranquilidade de que o trabalho est\u00e1 seguro.\u201d<\/p>\n<h3>5. Planeje Solu\u00e7\u00f5es<\/h3>\n<p>Liste os recursos do produto, melhorias ou servi\u00e7os que voc\u00ea acredita que trar\u00e3o benef\u00edcios para os usu\u00e1rios e alcan\u00e7ar\u00e3o os resultados comerciais. Este \u00e9 o lugar para idea\u00e7\u00e3o criativa.<\/p>\n<h3>6. Formule hip\u00f3teses<\/h3>\n<p>Este \u00e9 o cerne da matriz. Combine as etapas anteriores em afirma\u00e7\u00f5es test\u00e1veis:<em>\u201cAcreditamos que [Solu\u00e7\u00e3o] resultar\u00e1 em [Benef\u00edcio para o Usu\u00e1rio] para [Persona do Usu\u00e1rio]. Saberemos que estamos certos quando observarmos [Resultado Comercial].\u201d<\/em><\/p>\n<h3>7. Determine o que aprender primeiro<\/h3>\n<p>Identifique a suposi\u00e7\u00e3o mais arriscada da sua hip\u00f3tese. Qual \u00e9 a \u00fanica coisa que, se for falsa, far\u00e1 com que toda a estrat\u00e9gia falhe? Foque seus esfor\u00e7os iniciais de teste nisso.<\/p>\n<h2>Exemplos de aplica\u00e7\u00e3o no mundo real<\/h2>\n<p>Para compreender a versatilidade da Matriz Lean UX, considere como ela se aplica a diferentes cen\u00e1rios empresariais:<\/p>\n<ul>\n<li><strong>Convers\u00e3o de inscri\u00e7\u00e3o em SaaS:<\/strong> Uma equipe encarregada de melhorar as inscri\u00e7\u00f5es em testes gratuitos pode usar a matriz para hipotetizar que simplificar o formul\u00e1rio de registro (Solu\u00e7\u00e3o) reduzir\u00e1 a dificuldade (Benef\u00edcio para o Usu\u00e1rio), levando a uma taxa de convers\u00e3o mais alta (Resultado Comercial).<\/li>\n<li><strong>Experi\u00eancia de onboarding do usu\u00e1rio:<\/strong> Para uma ferramenta complexa de an\u00e1lise, uma equipe pode buscar melhorar as taxas de ativa\u00e7\u00e3o. Sua matriz se concentraria em guiar os novos usu\u00e1rios at\u00e9 seu primeiro \u201cmomento de eureka\u201d rapidamente, testando diferentes tutoriais ou guias interativos.<\/li>\n<li><strong>Resultados de busca em e-commerce:<\/strong> Uma equipe melhorando uma loja online pode hipotetizar que adicionar filtros avan\u00e7ados ajudar\u00e1 os usu\u00e1rios a encontrar produtos mais rapidamente, aumentando assim o valor m\u00e9dio do pedido.<\/li>\n<\/ul>\n<h2>Dicas e truques para o sucesso<\/h2>\n<p>Maximize a efic\u00e1cia de suas sess\u00f5es Lean UX com estas dicas pr\u00e1ticas:<\/p>\n<ul>\n<li><strong>Use o Modo de Foco:<\/strong> Ao usar ferramentas digitais como o Visual Paradigm, utilize o \u201cModo de Foco\u201d para ampliar uma se\u00e7\u00e3o de cada vez. Isso evita que a equipe fique sobrecarregada pela vis\u00e3o geral e permite uma an\u00e1lise aprofundada em se\u00e7\u00f5es espec\u00edficas sem distra\u00e7\u00f5es.<\/li>\n<li><strong>Colabore em tempo real:<\/strong> A estrat\u00e9gia n\u00e3o deve ser uma tarefa solit\u00e1ria. Convide desenvolvedores, designers e partes interessadas para a matriz. Use recursos como cron\u00f4metros integrados para gerenciar sess\u00f5es de brainstorming e manter a energia alta.<\/li>\n<li><strong>Mantenha-o vivo:<\/strong> Uma matriz n\u00e3o \u00e9 um documento \u00fanico. Ela deve evoluir conforme voc\u00ea aprende com seus experimentos. Revise e atualize regularmente suas hip\u00f3teses com base em feedback real do mercado.<\/li>\n<li><strong>Exporta\u00e7\u00f5es profissionais:<\/strong> Quando precisar compartilhar sua estrat\u00e9gia com partes interessadas externas que podem n\u00e3o estar na ferramenta, use op\u00e7\u00f5es de exporta\u00e7\u00e3o profissionais. Exportar para PDF ou Word garante que sua narrativa estrat\u00e9gica seja comunicada claramente \u00e0 lideran\u00e7a.<\/li>\n<\/ul>\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<h2 id=\"resource\" style=\"margin-top: 0px; margin-bottom: 1.8em; line-height: 1.33;\">Recursos<\/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);\">O que \u00e9 a Matriz de Modelo de Neg\u00f3cio? Por que usar paradigmas visuais e ferramentas de IA<\/a>: Este guia abrangente explica a Matriz de Modelo de Neg\u00f3cio, seus componentes principais e como paradigmas visuais e ferramentas com intelig\u00eancia artificial aprimoram a planejamento estrat\u00e9gico e a inova\u00e7\u00e3o 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);\">Construtor de Matriz de Modelo de Neg\u00f3cio com IA \u2013 Design de Estrat\u00e9gia Instant\u00e2neo<\/a>: Uma ferramenta impulsionada por IA que automatiza a cria\u00e7\u00e3o de matrizes de modelo de neg\u00f3cios, oferecendo sugest\u00f5es inteligentes e insights em tempo real para acelerar o planejamento 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);\">Ferramenta de Matriz com IA \u2013 Design Inteligente para Estruturas Empresariais<\/a>: Um aplicativo de canvas impulsionado por IA que ajuda os usu\u00e1rios a gerar e aprimorar modelos de neg\u00f3cios, propostas de valor e estruturas de estrat\u00e9gia com sugest\u00f5es inteligentes e automa\u00e7\u00e3o.<\/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);\">Ferramenta de Canvas de Modelo de Neg\u00f3cios com IA \u2013 Desenvolvimento Inteligente de Estrat\u00e9gia<\/a>: Uma solu\u00e7\u00e3o abrangente com IA para constru\u00e7\u00e3o e aprimoramento de modelos de neg\u00f3cios com insights inteligentes, feedback em tempo real e recursos colaborativos.<\/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);\">Atualiza\u00e7\u00e3o do Lan\u00e7amento do Editor de Canvas com IA<\/a>: Apresenta um editor de canvas impulsionado por IA que aprimora a cria\u00e7\u00e3o de diagramas por meio de sugest\u00f5es inteligentes e otimiza\u00e7\u00e3o autom\u00e1tica de layout.<\/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);\">Guia da Ferramenta de Canvas de Modelo de Neg\u00f3cios com IA<\/a>: Um guia passo a passo sobre como usar uma ferramenta aprimorada por IA para gerar e aprimorar canvases de modelo de neg\u00f3cios com entrada inteligente e recomenda\u00e7\u00f5es em tempo 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);\">Canvas do Modelo de Miss\u00e3o | Ferramenta de Estrat\u00e9gia com IA por VP<\/a>: 28 de outubro de 2025 \u2013 Coordeie sess\u00f5es ao vivo com sua equipe usando o cron\u00f4metro integrado e exporte seu canvas final ou relat\u00f3rios para formatos profissionais como Word, Markdown ou CSV. \u2026 O Canvas do Modelo de Miss\u00e3o foi especificamente projetado para organiza\u00e7\u00f5es sem fins lucrativos, ag\u00eancias governamentais, empresas sociais e qualquer organiza\u00e7\u00e3o cujo objetivo principal seja a realiza\u00e7\u00e3o da miss\u00e3o, e n\u00e3o o lucro.<\/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 Ferramentas de Canvas de Neg\u00f3cios com IA com Visual Paradigm<\/a>: Esta p\u00e1gina oferece um guia detalhado sobre como usar um kit de ferramentas de Canvas de Modelo de Neg\u00f3cios aprimorado por IA integrado ao Visual Paradigm para desenvolvimento automatizado de estrat\u00e9gias de neg\u00f3cios.<\/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);\">Ferramenta de Canvas com IA \u2013 Visual Paradigm<\/a>: Uma ferramenta impulsionada por IA dentro do Visual Paradigm que permite aos usu\u00e1rios gerar e aprimorar canvases de neg\u00f3cios por meio de automa\u00e7\u00e3o inteligente e entrada por linguagem 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);\">Dominando o Canvas de Modelo de Neg\u00f3cios com IA: Guia Passo a Passo usando o Visual Paradigm<\/a>: Este post de blog oferece um percurso estruturado sobre como aproveitar as capacidades de IA no Visual Paradigm para criar, personalizar e otimizar canvases de modelo de neg\u00f3cios de forma eficiente.<\/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);\">Como Funciona o Construtor de Canvas de Modelo de Neg\u00f3cios com IA \u2013 Visual Paradigm<\/a>: Esta p\u00e1gina explica a funcionalidade do Construtor de Canvas de Modelo de Neg\u00f3cios com IA, destacando como a intelig\u00eancia de m\u00e1quina automatiza a cria\u00e7\u00e3o de canvases e a gera\u00e7\u00e3o 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);\">Canvas de IA com Aprendizado Profundo | Modelo de Canvas de Ferramentas de Estrat\u00e9gia<\/a>: Edite a vers\u00e3o localizada: Aprendizado Profundo AI Canvas (TW) | Aprendizado Profundo AI Canvas (CN) Visualize esta p\u00e1gina em: EN TW CN \u00b7 Visual Paradigm Online (VP Online) \u00e9 um software online de diagramas que suporta canvases de an\u00e1lise, v\u00e1rios gr\u00e1ficos, UML, fluxograma, diagrama de rack, gr\u00e1fico organizacional, \u00e1rvore geneal\u00f3gica, ERD, planta baixa, etc.<\/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);\">Canvas de Produto | Ferramenta de Estrat\u00e9gia com IA por VP<\/a>: Construa produtos que as pessoas amam. Combine estrat\u00e9gia, design e feedback em um \u00fanico espa\u00e7o visual com nosso Canvas de Produto com IA para levar ideias ao mercado mais 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);\">Canvas Lean UX | Ferramenta de Estrat\u00e9gia com IA por VP<\/a>: 28 de outubro de 2025 \u2013 Crie um framework estrat\u00e9gico completo em instantes. Basta descrever sua vis\u00e3o, e o gerador de canvas com IA o transforma em um canvas estruturado e rico em insights que ajuda voc\u00ea a visualizar, planejar e aprimorar sua pr\u00f3xima grande ideia.<\/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);\">Canvas Lean \u2013 Visual Paradigm<\/a>: 28 de outubro de 2025 \u2013 Nossa aplica\u00e7\u00e3o foi projetada para ser seu parceiro estrat\u00e9gico, fornecendo ferramentas inteligentes para aprimorar cada etapa do seu processo de planejamento para o Canvas de Modelo de Neg\u00f3cios. \u2026 Tem uma ideia de startup? Basta digitar &#8216;um aplicativo m\u00f3vel para entrega de refei\u00e7\u00f5es caseiras locais&#8217; e deixe nossa IA gerar um Canvas Lean completo, detalhando o problema, a solu\u00e7\u00e3o e as m\u00e9tricas-chave.<\/p>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Introdu\u00e7\u00e3o \u00e0 Experi\u00eancia do Usu\u00e1rio Lean No mundo acelerado do desenvolvimento de produtos digitais, planos de neg\u00f3cios tradicionais muitas vezes se tornam obsoletos antes mesmo de serem finalizados. Seja voc\u00ea um fundador de startup, um gerente de produto ou parte de uma equipe \u00e1gil, a necessidade de uma abordagem din\u00e2mica e iterativa para a estrat\u00e9gia \u00e9 fundamental. Entre no Canvas UX Lean, um framework desenvolvido por Jeff Gothelf que pontua a lacuna entre metas de neg\u00f3cios de alto n\u00edvel e o design centrado no usu\u00e1rio. Este guia explora o Canvas UX Lean em profundidade, detalhando como ajuda as equipes a enxergar seu trabalho como problemas de neg\u00f3cios a resolver, e n\u00e3o como funcionalidades a construir. Tamb\u00e9m exploraremos como ferramentas modernas, especificamente Visual Paradigm AI, pode revolucionar a forma como voc\u00ea preenche, analisa e implementa essas estrat\u00e9gias. Conceitos-Chave Antes de mergulhar nos mecanismos do canvas, \u00e9 essencial compreender as defini\u00e7\u00f5es fundamentais que impulsionam este framework. UX Lean: Uma abordagem ao design que prioriza a colabora\u00e7\u00e3o, prototipagem r\u00e1pida e feedback do usu\u00e1rio sobre documenta\u00e7\u00e3o pesada. Combina princ\u00edpios do Design Thinking, Desenvolvimento \u00c1gil de Software e metodologia Lean Startup. O Modelo do Canvas: Diferentemente de um documento linear, um canvas \u00e9 um gr\u00e1fico visual com elementos que descrevem a empresa ou o produto proposi\u00e7\u00e3o de valor, infraestrutura, clientes e finan\u00e7as. O Canvas UX Lean foca especificamente na valida\u00e7\u00e3o de hip\u00f3teses. Resultados vs. Sa\u00eddas: Uma distin\u00e7\u00e3o cr\u00edtica no UX Lean. Sa\u00eddas s\u00e3o as funcionalidades que voc\u00ea constr\u00f3i (por exemplo, uma barra de pesquisa). Resultados s\u00e3o as mudan\u00e7as mensur\u00e1veis no comportamento do cliente que impulsionam o valor do neg\u00f3cio (por exemplo, taxas de convers\u00e3o aumentadas). Design Orientado por Hip\u00f3teses: A pr\u00e1tica de tratar decis\u00f5es de design como suposi\u00e7\u00f5es que devem ser testadas e validadas por meio de experimentos, em vez de serem aceitas como fatos. VP AI: Automatizando e aprimorando a planejamento estrat\u00e9gico Visual Paradigm integrado intelig\u00eancia artificial avan\u00e7ada em seu ferramentas de canvaspara transformar a forma como as equipes planejam. Enquanto o Canvas Lean UX fornece a estrutura, Visual Paradigm AI fornece a intelig\u00eancia para preench\u00ea-lo de forma eficaz e precisa. Canvas Estrat\u00e9gico Gerado por IA Come\u00e7ar a partir de uma p\u00e1gina em branco \u00e9 frequentemente a parte mais dif\u00edcil da estrat\u00e9gia. Com o Visual Paradigm, voc\u00ea pode gerar um canvas inteiro a partir de uma \u00fanica ideia. Basta descrever sua vis\u00e3o, e o gerador de canvas por IA cria um rascunho estruturado e rico em insights. Isso ajuda voc\u00ea a visualizar o escopo inicial e a aprimorar sua pr\u00f3xima grande ideia sem gastar horas com formata\u00e7\u00e3o ou brainstorming inicial. Motor de Gera\u00e7\u00e3o de Ideias por IA Bloqueios criativos podem frear o progresso. O Motor de Gera\u00e7\u00e3o de Ideias por IA do VP oferece prompts contextualizados para cada se\u00e7\u00e3o do canvas. Seja voc\u00ea com dificuldade em definir um Benef\u00edcio do Usu\u00e1rio ou um espec\u00edfico Solu\u00e7\u00e3o, a IA sugere ideias para ampliar seu pensamento, ajudando a remover barreiras e explorar novas dire\u00e7\u00f5es estrat\u00e9gicas. An\u00e1lise Completa por IA Assim que seu canvas estiver preenchido, o VP AI n\u00e3o para por a\u00ed. Ele pode executar an\u00e1lises autom\u00e1ticascomo SWOT, Potencial de Mercado e Avalia\u00e7\u00e3o de Riscos com base nos dados do seu Canvas Lean UX. Isso transforma conceitos est\u00e1ticos em insights estrat\u00e9gicos acion\u00e1veis, permitindo que voc\u00ea teste suposi\u00e7\u00f5es e melhore a precis\u00e3o da tomada de decis\u00f5es antes de escrever uma \u00fanica linha de c\u00f3digo. Diretrizes: Construindo seu Canvas Lean UX Criar um Canvas Lean UX \u00e9 um processo colaborativo. Siga estas diretrizes passo a passo para garantir que seu canvas efetivamente bridge a lacuna entre necessidades do neg\u00f3cio e valor do usu\u00e1rio. 1. Defina o Problema de Neg\u00f3cios Comece identificando o estado atual do neg\u00f3cio. Qual problema voc\u00ea est\u00e1 tentando resolver? Certifique-se de que isso esteja claramente expresso e n\u00e3o seja um pedido de recurso disfar\u00e7ado. Pergunte: \u201cQual meta estamos falhando em alcan\u00e7ar?\u201d 2. Identifique os Resultados de Neg\u00f3cios Determine as mudan\u00e7as no comportamento do cliente que indicar\u00e3o que voc\u00ea resolveu o problema. Esses devem ser indicadores quantitativos e qualitativos (por exemplo, aumentar a reten\u00e7\u00e3o em 10% ou reduzir os tickets de suporte). 3. Identifique Usu\u00e1rios e Clientes Para quem voc\u00ea est\u00e1 resolvendo esse problema? Seja espec\u00edfico. Em vez de \u201ctodos\u201d, foque em personas espec\u00edficas como \u201cGerentes de Marketing Ocupados\u201d ou \u201cCompradores de Primeira Casa\u201d. Isso foca sua estrat\u00e9gia. 4. Articule os Benef\u00edcios do Usu\u00e1rio Quais objetivos espec\u00edficos seus usu\u00e1rios est\u00e3o tentando alcan\u00e7ar? Isso n\u00e3o se trata do seu produto, mas da vida deles. Por exemplo, um benef\u00edcio do usu\u00e1rio n\u00e3o \u00e9 \u201csalvar um arquivo\u201d, mas sim \u201cter a tranquilidade de que o trabalho est\u00e1 seguro.\u201d 5. Planeje Solu\u00e7\u00f5es Liste os recursos do produto, melhorias ou servi\u00e7os que voc\u00ea acredita que trar\u00e3o benef\u00edcios para os usu\u00e1rios e alcan\u00e7ar\u00e3o os resultados comerciais. Este \u00e9 o lugar para idea\u00e7\u00e3o criativa. 6. Formule hip\u00f3teses Este \u00e9 o cerne da matriz. Combine as etapas anteriores em afirma\u00e7\u00f5es test\u00e1veis:\u201cAcreditamos que [Solu\u00e7\u00e3o] resultar\u00e1 em [Benef\u00edcio para o Usu\u00e1rio] para [Persona do Usu\u00e1rio]. Saberemos que estamos certos quando observarmos [Resultado Comercial].\u201d 7. Determine o que aprender primeiro Identifique a suposi\u00e7\u00e3o mais arriscada da sua hip\u00f3tese. Qual \u00e9 a \u00fanica coisa que, se for falsa, far\u00e1 com que toda a estrat\u00e9gia falhe? Foque seus esfor\u00e7os iniciais de teste nisso. Exemplos de aplica\u00e7\u00e3o no mundo real Para compreender a versatilidade da Matriz Lean UX, considere como ela se aplica a diferentes cen\u00e1rios empresariais: Convers\u00e3o de inscri\u00e7\u00e3o em SaaS: Uma equipe encarregada de melhorar as inscri\u00e7\u00f5es em testes gratuitos pode usar a matriz para hipotetizar que simplificar o formul\u00e1rio de registro (Solu\u00e7\u00e3o) reduzir\u00e1 a dificuldade (Benef\u00edcio para o Usu\u00e1rio), levando a uma taxa de convers\u00e3o mais alta (Resultado Comercial). Experi\u00eancia de onboarding do usu\u00e1rio: Para uma ferramenta complexa de an\u00e1lise, uma equipe pode buscar melhorar as taxas de ativa\u00e7\u00e3o. Sua matriz se concentraria em guiar os novos usu\u00e1rios at\u00e9 seu primeiro \u201cmomento de eureka\u201d rapidamente, testando diferentes tutoriais ou guias interativos. Resultados de busca em e-commerce: Uma equipe melhorando uma loja online pode hipotetizar que adicionar filtros avan\u00e7ados ajudar\u00e1 os usu\u00e1rios a encontrar produtos mais rapidamente, aumentando<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_title":"Dominando o Canvas Lean UX: Um Guia com Integra\u00e7\u00e3o de IA","_yoast_wpseo_metadesc":"Um guia abrangente sobre o Canvas Lean UX. 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