{"id":4656,"date":"2025-12-29T03:04:56","date_gmt":"2025-12-29T03:04:56","guid":{"rendered":"https:\/\/www.diagrams-ai.com\/fr\/mastering-the-lean-ux-canvas-a-comprehensive-guide-to-agile-product-strategy\/"},"modified":"2025-12-29T03:04:56","modified_gmt":"2025-12-29T03:04:56","slug":"mastering-the-lean-ux-canvas-a-comprehensive-guide-to-agile-product-strategy","status":"publish","type":"post","link":"https:\/\/www.diagrams-ai.com\/fr\/mastering-the-lean-ux-canvas-a-comprehensive-guide-to-agile-product-strategy\/","title":{"rendered":"Ma\u00eetriser le Lean UX Canvas : un guide complet pour la strat\u00e9gie produit agile"},"content":{"rendered":"<h2>Introduction \u00e0 l&#8217;exp\u00e9rience utilisateur Lean<\/h2>\n<p>Dans le monde rapide du d\u00e9veloppement de produits num\u00e9riques, les plans commerciaux traditionnels deviennent souvent obsol\u00e8tes avant m\u00eame d\u2019\u00eatre finalis\u00e9s. Que vous soyez fondateur de startup, responsable produit ou membre d\u2019une <a href=\"https:\/\/guides.visual-paradigm.com\/sprint-planning-in-agile-a-step-by-step-guide-for-effective-project-management\/\">\u00e9quipe agile<\/a>, la n\u00e9cessit\u00e9 d\u2019une approche dynamique et it\u00e9rative de la strat\u00e9gie est primordiale. Entrez le <strong>Lean UX Canvas<\/strong>, un cadre d\u00e9velopp\u00e9 par Jeff Gothelf qui comble le foss\u00e9 entre les objectifs commerciaux de haut niveau et la conception centr\u00e9e sur l\u2019utilisateur.<\/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>Ce guide explore en profondeur le Lean UX Canvas, en d\u00e9taillant comment il aide les \u00e9quipes \u00e0 concevoir leur travail comme des probl\u00e8mes commerciaux \u00e0 r\u00e9soudre plut\u00f4t que comme des fonctionnalit\u00e9s \u00e0 d\u00e9velopper. Nous explorerons \u00e9galement comment les outils modernes, notamment <strong>Visual Paradigm AI<\/strong>, peuvent r\u00e9volutionner la mani\u00e8re dont vous remplissez, analysez et mettez en \u0153uvre ces strat\u00e9gies.<\/p>\n<h2>Concepts cl\u00e9s<\/h2>\n<p>Avant de plonger dans les m\u00e9canismes du canevas, il est essentiel de comprendre les d\u00e9finitions fondamentales qui animent ce cadre.<\/p>\n<ul>\n<li><strong>UX Lean :<\/strong> Une approche de la conception qui privil\u00e9gie la collaboration, la prototypage rapide et les retours utilisateurs plut\u00f4t que la documentation lourde. Elle combine les principes du Design Thinking, du d\u00e9veloppement logiciel agile et de la m\u00e9thodologie Lean Startup.<\/li>\n<li><strong>Le mod\u00e8le du canevas :<\/strong> Contrairement \u00e0 un document lin\u00e9aire, un <a href=\"https:\/\/www.archimetric.com\/comprehensive-tutorial-visual-paradigm-model-canvas-tool\/\">canevas est un tableau visuel<\/a> avec des \u00e9l\u00e9ments d\u00e9crivant la <a href=\"https:\/\/guides.visual-paradigm.com\/complete-guide-to-the-business-model-canvas-bmc\/\">proposition de valeur, infrastructure, clients et finances<\/a>. Le Lean UX Canvas se concentre sp\u00e9cifiquement sur la validation des hypoth\u00e8ses.<\/li>\n<li><strong>R\u00e9sultats vs. Sorties :<\/strong> Une distinction cruciale en UX Lean. <em>Sorties<\/em> sont les fonctionnalit\u00e9s que vous construisez (par exemple, une barre de recherche). <em>R\u00e9sultats<\/em> sont les changements mesurables dans le comportement des clients qui g\u00e9n\u00e8rent de la valeur commerciale (par exemple, des taux de conversion accrus).<\/li>\n<li><strong>Conception pilot\u00e9e par des hypoth\u00e8ses :<\/strong> La pratique de consid\u00e9rer les d\u00e9cisions de conception comme des hypoth\u00e8ses qui doivent \u00eatre test\u00e9es et valid\u00e9es \u00e0 travers des exp\u00e9riences plut\u00f4t que d\u2019\u00eatre accept\u00e9es comme des faits.<\/li>\n<\/ul>\n<h2>VP AI : Automatisation et am\u00e9lioration de la planification strat\u00e9gique<\/h2>\n<p>Visual Paradigm a int\u00e9gr\u00e9 une intelligence artificielle avanc\u00e9e dans son <a href=\"https:\/\/www.visual-paradigm.com\/features\/canvas-tool\/\">outils de canevas<\/a> pour transformer la mani\u00e8re dont les \u00e9quipes \u00e9laborent leur strat\u00e9gie. Bien que le canevas Lean UX fournisse la structure, <a href=\"https:\/\/www.visual-paradigm.com\/solution\/ai-business-model-canvas-tool\/\"><strong>Visual Paradigm AI<\/strong><\/a> fournit l&#8217;intelligence n\u00e9cessaire pour le remplir de mani\u00e8re efficace et pr\u00e9cise.<br \/><img alt=\"\" decoding=\"async\" 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\"\/><\/p>\n<h3>Canevas strat\u00e9gique g\u00e9n\u00e9r\u00e9 par l&#8217;IA<\/h3>\n<p>Commencer \u00e0 partir d&#8217;une page blanche est souvent la partie la plus difficile de la strat\u00e9gie. Avec Visual Paradigm, vous pouvez g\u00e9n\u00e9rer un canevas entier \u00e0 partir d&#8217;une simple id\u00e9e. En d\u00e9crivant simplement votre vision, le g\u00e9n\u00e9rateur de canevas par IA cr\u00e9e un brouillon structur\u00e9 et riche en insights. Cela vous aide \u00e0 visualiser la port\u00e9e initiale et \u00e0 affiner votre prochaine grande id\u00e9e sans passer des heures \u00e0 formater ou \u00e0 faire des premi\u00e8res s\u00e9ances de cerveau de groupe.<\/p>\n<h3>Moteur d&#8217;id\u00e9ation par IA<\/h3>\n<p>Les blocages cr\u00e9atifs peuvent freiner l&#8217;avancement. Le moteur d&#8217;id\u00e9ation par IA de VP propose des suggestions pertinentes selon le contexte pour chaque section du canevas. Que vous ayez du mal \u00e0 d\u00e9finir un <em>Avantage utilisateur<\/em> ou un <em>Solution<\/em>, l&#8217;IA sugg\u00e8re des id\u00e9es pour \u00e9largir votre r\u00e9flexion, vous aidant \u00e0 surmonter les obstacles et \u00e0 explorer de nouvelles directions strat\u00e9giques.<\/p>\n<h3>Analyse compl\u00e8te par IA<\/h3>\n<p>Une fois votre canevas rempli, VP AI ne s&#8217;arr\u00eate pas l\u00e0. Il peut effectuer des <a href=\"https:\/\/www.visual-paradigm.com\/features\/analysis-canvas-tool\/\">analyses automatiques<\/a> telles que SWOT, potentiel du march\u00e9 et \u00e9valuation des risques, bas\u00e9es sur les donn\u00e9es de votre canevas Lean UX. Cela transforme des concepts statiques en insights strat\u00e9giques exploitables, vous permettant de tester vos hypoth\u00e8ses et d&#8217;am\u00e9liorer la pr\u00e9cision de vos prises de d\u00e9cision avant d&#8217;\u00e9crire une seule ligne de code.<\/p>\n<h2>Guides : Cr\u00e9ation de votre canevas Lean UX<\/h2>\n<p>Cr\u00e9er un canevas Lean UX est un <a href=\"https:\/\/canvas.visual-paradigm.com\/\">processus collaboratif<\/a>. Suivez ces guides \u00e9tape par \u00e9tape pour vous assurer que votre canevas comble efficacement le foss\u00e9 entre les besoins m\u00e9tier et la valeur utilisateur.<\/p>\n<h3>1. D\u00e9finir le probl\u00e8me m\u00e9tier<\/h3>\n<p>Commencez par identifier l&#8217;\u00e9tat actuel de l&#8217;entreprise. Quel probl\u00e8me essayez-vous de r\u00e9soudre ? Assurez-vous que cela est clairement exprim\u00e9 et ne s&#8217;agit pas d&#8217;une demande de fonctionnalit\u00e9 d\u00e9guis\u00e9e. Posez-vous la question : <em>\u00ab Quel objectif n&#8217;arrivons-nous pas \u00e0 atteindre ? \u00bb<\/em><\/p>\n<h3>2. Identifier les r\u00e9sultats m\u00e9tier<\/h3>\n<p>D\u00e9terminez les changements dans le comportement des clients qui indiqueront que vous avez r\u00e9solu le probl\u00e8me. Ceux-ci doivent \u00eatre des indicateurs quantitatifs et qualitatifs (par exemple, augmenter la fid\u00e9lit\u00e9 de 10 % ou r\u00e9duire le nombre de tickets d&#8217;assistance).<\/p>\n<h3>3. Identifier les utilisateurs et les clients<\/h3>\n<p>Pour qui r\u00e9solvez-vous ce probl\u00e8me ? Soyez pr\u00e9cis. Au lieu de \u00ab tout le monde \u00bb, concentrez-vous sur des personas sp\u00e9cifiques comme \u00ab les gestionnaires marketing press\u00e9s \u00bb ou \u00ab les premiers acheteurs de maison \u00bb. Cela affine votre strat\u00e9gie.<\/p>\n<h3>4. Formuler les avantages utilisateur<\/h3>\n<p>Quels objectifs sp\u00e9cifiques vos utilisateurs cherchent-ils \u00e0 atteindre ? Il ne s&#8217;agit pas de votre produit, mais de leur vie. Par exemple, un avantage utilisateur n&#8217;est pas \u00ab enregistrer un fichier \u00bb, mais plut\u00f4t \u00ab avoir l&#8217;esprit en paix en sachant que le travail est s\u00e9curis\u00e9 \u00bb.<\/p>\n<h3>5. \u00c9laborer des solutions<\/h3>\n<p>Listez les fonctionnalit\u00e9s du produit, les am\u00e9liorations ou les services que vous pensez permettront d&#8217;apporter des b\u00e9n\u00e9fices aux utilisateurs et d&#8217;atteindre les objectifs commerciaux. C&#8217;est l&#8217;endroit id\u00e9al pour l&#8217;innovation cr\u00e9ative.<\/p>\n<h3>6. Formuler des hypoth\u00e8ses<\/h3>\n<p>C&#8217;est le c\u0153ur du tableau. Combinez les \u00e9tapes pr\u00e9c\u00e9dentes en \u00e9nonc\u00e9s v\u00e9rifiables :<em>\u00ab Nous croyons que [Solution] entra\u00eenera [B\u00e9n\u00e9fice pour l&#8217;utilisateur] pour [Personnage utilisateur]. Nous saurons que nous avons raison lorsque nous verrons [R\u00e9sultat commercial]. \u00bb<\/em><\/p>\n<h3>7. D\u00e9terminer ce qu&#8217;il faut apprendre en premier<\/h3>\n<p>Identifiez l&#8217;hypoth\u00e8se la plus risqu\u00e9e dans votre hypoth\u00e8se. Quelle est la chose unique qui, si elle est fausse, ferait \u00e9chouer toute la strat\u00e9gie ? Concentrez vos premiers efforts de test sur cela.<\/p>\n<h2>Exemples d&#8217;applications dans le monde r\u00e9el<\/h2>\n<p>Pour comprendre la polyvalence du tableau Lean UX, envisagez comment il s&#8217;applique \u00e0 divers sc\u00e9narios commerciaux :<\/p>\n<ul>\n<li><strong>Taux de conversion d&#8217;inscription SaaS :<\/strong> Une \u00e9quipe charg\u00e9e d&#8217;am\u00e9liorer les inscriptions aux essais gratuits pourrait utiliser le tableau pour supposer que simplifier le formulaire d&#8217;inscription (solution) r\u00e9duira la friction (b\u00e9n\u00e9fice pour l&#8217;utilisateur), entra\u00eenant ainsi un taux de conversion plus \u00e9lev\u00e9 (r\u00e9sultat commercial).<\/li>\n<li><strong>Exp\u00e9rience d&#8217;inscription des utilisateurs :<\/strong> Pour un outil analytique complexe, une \u00e9quipe pourrait viser \u00e0 am\u00e9liorer les taux d&#8217;activation. Leur tableau se concentrerait sur guider rapidement les nouveaux utilisateurs vers leur premier \u00ab moment d&#8217;\u00e9veil \u00bb, en testant diff\u00e9rents tutoriels ou guides interactifs.<\/li>\n<li><strong>R\u00e9sultats de recherche e-commerce :<\/strong> Une \u00e9quipe am\u00e9liorant une boutique en ligne pourrait supposer que l&#8217;ajout de filtres avanc\u00e9s aidera les utilisateurs \u00e0 trouver des produits plus rapidement, augmentant ainsi la valeur moyenne de la commande.<\/li>\n<\/ul>\n<h2>Conseils et astuces pour r\u00e9ussir<\/h2>\n<p>Maximisez l&#8217;efficacit\u00e9 de vos sessions Lean UX avec ces conseils pratiques :<\/p>\n<ul>\n<li><strong>Utilisez le mode Focus :<\/strong> Lorsque vous utilisez des outils num\u00e9riques comme Visual Paradigm, utilisez le \u00ab mode Focus \u00bb pour zoomer sur une section \u00e0 la fois. Cela emp\u00eache l&#8217;\u00e9quipe de se sentir submerg\u00e9e par l&#8217;ensemble du tableau et permet de s&#8217;immerger profond\u00e9ment dans des sections sp\u00e9cifiques sans distraction.<\/li>\n<li><strong>Collaborez en temps r\u00e9el :<\/strong> La strat\u00e9gie ne doit pas \u00eatre une entreprise solitaire. Invitez les d\u00e9veloppeurs, les designers et les parties prenantes au tableau. Utilisez des fonctionnalit\u00e9s comme des minuteurs int\u00e9gr\u00e9s pour g\u00e9rer les sessions de cerveau de groupe et maintenir un haut niveau d&#8217;\u00e9nergie.<\/li>\n<li><strong>Gardez-le vivant :<\/strong> Un tableau n&#8217;est pas un document ponctuel. Il doit \u00e9voluer au fur et \u00e0 mesure que vous apprenez \u00e0 partir de vos exp\u00e9riences. Revenez r\u00e9guli\u00e8rement dessus et mettez \u00e0 jour vos hypoth\u00e8ses en fonction des retours r\u00e9els du march\u00e9.<\/li>\n<li><strong>Exports professionnels :<\/strong> Lorsque vous devez partager votre strat\u00e9gie avec des parties prenantes externes qui ne sont pas dans l&#8217;outil, utilisez les options d&#8217;exportation professionnelles. Exporter au format PDF ou Word garantit que votre r\u00e9cit strat\u00e9gique soit clairement compris par la direction.<\/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;\">Ressource<\/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);\">Qu&#8217;est-ce que le Business Model Canvas ? Pourquoi utiliser les paradigmes visuels et les outils d&#8217;IA<\/a>: Ce guide complet explique le Business Model Canvas, ses composants essentiels, et comment les paradigmes visuels et les outils aliment\u00e9s par l&#8217;IA renforcent la planification strat\u00e9gique et l&#8217;innovation commerciale.<\/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);\">Construire un Business Model Canvas avec IA \u2013 Conception instantan\u00e9e de strat\u00e9gie<\/a>: Un outil pilot\u00e9 par l&#8217;IA qui automatiser la cr\u00e9ation de tableaux de mod\u00e8le \u00e9conomique, offrant des suggestions intelligentes et des insights en temps r\u00e9el pour acc\u00e9l\u00e9rer la planification commerciale.<\/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);\">Outil de tableau IA \u2013 Conception intelligente pour les cadres commerciaux<\/a>: Une application de canevas aliment\u00e9e par l\u2019IA qui aide les utilisateurs \u00e0 g\u00e9n\u00e9rer et affiner des mod\u00e8les d\u2019entreprise, des propositions de valeur et des cadres strat\u00e9giques gr\u00e2ce \u00e0 des suggestions intelligentes et \u00e0 l\u2019automatisation.<\/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);\">Outil de canevas de mod\u00e8le d\u2019entreprise IA \u2013 D\u00e9veloppement strat\u00e9gique intelligent<\/a>: Une solution compl\u00e8te am\u00e9lior\u00e9e par l\u2019IA pour construire et affiner des mod\u00e8les d\u2019entreprise gr\u00e2ce \u00e0 des insights intelligents, des retours en temps r\u00e9el et des fonctionnalit\u00e9s collaboratives.<\/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);\">Mise \u00e0 jour de la version de l\u2019\u00e9diteur de canevas IA<\/a>: Pr\u00e9sente un \u00e9diteur de canevas aliment\u00e9 par l\u2019IA qui am\u00e9liore la cr\u00e9ation de diagrammes gr\u00e2ce \u00e0 des suggestions intelligentes et \u00e0 une optimisation automatique du 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);\">Guide de l\u2019outil de canevas de mod\u00e8le d\u2019entreprise aliment\u00e9 par l\u2019IA<\/a>: Un guide \u00e9tape par \u00e9tape sur l\u2019utilisation d\u2019un outil am\u00e9lior\u00e9 par l\u2019IA pour g\u00e9n\u00e9rer et affiner des canevas de mod\u00e8le d\u2019entreprise gr\u00e2ce \u00e0 une saisie intelligente et des recommandations en temps r\u00e9el.<\/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);\">Canevas du mod\u00e8le de mission | Outil strat\u00e9gique aliment\u00e9 par l\u2019IA par VP<\/a>: 28 octobre 2025 \u2013 Coordonnez des sessions en direct avec votre \u00e9quipe \u00e0 l\u2019aide du minuteur int\u00e9gr\u00e9 et exportez votre canevas final ou vos rapports dans des formats professionnels tels que Word, Markdown ou CSV. \u2026 Le canevas du mod\u00e8le de mission est sp\u00e9cifiquement con\u00e7u pour les ONG, les agences gouvernementales, les entreprises sociales et toute organisation dont l\u2019objectif principal est l\u2019atteinte de la mission plut\u00f4t que le profit.<\/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);\">Tutoriel complet : Kit d\u2019outils de canevas d\u2019entreprise aliment\u00e9 par l\u2019IA avec Visual Paradigm<\/a>: Cette page fournit un guide d\u00e9taill\u00e9 sur l\u2019utilisation d\u2019un kit d\u2019outils de canevas de mod\u00e8le d\u2019entreprise am\u00e9lior\u00e9 par l\u2019IA int\u00e9gr\u00e9 \u00e0 Visual Paradigm pour le d\u00e9veloppement automatis\u00e9 de strat\u00e9gies d\u2019entreprise.<\/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);\">Outil de canevas IA \u2013 Visual Paradigm<\/a>: Un outil pilot\u00e9 par l\u2019IA au sein de Visual Paradigm qui permet aux utilisateurs de g\u00e9n\u00e9rer et d\u2019affiner des canevas d\u2019entreprise gr\u00e2ce \u00e0 une automatisation intelligente et \u00e0 une saisie par langage naturel.<\/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);\">Ma\u00eetriser le canevas de mod\u00e8le d\u2019entreprise avec l\u2019IA : Guide \u00e9tape par \u00e9tape avec Visual Paradigm<\/a>: Ce billet de blog propose une pr\u00e9sentation structur\u00e9e de l\u2019utilisation des capacit\u00e9s d\u2019IA dans Visual Paradigm pour cr\u00e9er, personnaliser et optimiser efficacement des canevas de mod\u00e8le d\u2019entreprise.<\/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);\">Comment fonctionne le constructeur de canevas de mod\u00e8le d\u2019entreprise aliment\u00e9 par l\u2019IA \u2013 Visual Paradigm<\/a>: Cette page explique la fonctionnalit\u00e9 du constructeur de canevas de mod\u00e8le d\u2019entreprise aliment\u00e9 par l\u2019IA, en mettant en \u00e9vidence la mani\u00e8re dont l\u2019intelligence artificielle automatiser la cr\u00e9ation de canevas et la g\u00e9n\u00e9ration de perspectives strat\u00e9giques.<\/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);\">Canevas IA d\u2019apprentissage profond | Mod\u00e8le de canevas d\u2019analyse d\u2019outils strat\u00e9giques<\/a>: \u00c9diter la version localis\u00e9e : apprentissage profond AI canevas (TW) | canevas d\u2019apprentissage profond AI (CN) Afficher cette page en : EN TW CN \u00b7 Visual Paradigm Online (VP Online) est un logiciel de diagrammes en ligne qui prend en charge les canevas d\u2019analyse, divers graphiques, UML, organigrammes, diagrammes de rack, organigrammes, arbre g\u00e9n\u00e9alogique, MCD, plans de plancher, 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);\">Canevas produit | Outil strat\u00e9gique aliment\u00e9 par l\u2019IA par VP<\/a>: Cr\u00e9ez des produits que les gens adorent. R\u00e9unissez strat\u00e9gie, conception et retours dans un espace visuel unique gr\u00e2ce \u00e0 notre canevas produit aliment\u00e9 par l\u2019IA pour amener vos id\u00e9es sur le march\u00e9 plus rapidement.<\/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);\">Canevas Lean UX | Outil strat\u00e9gique aliment\u00e9 par l\u2019IA par VP<\/a>: 28 octobre 2025 \u2013 Cr\u00e9ez un cadre strat\u00e9gique complet en un instant. D\u00e9crivez simplement votre vision, et le g\u00e9n\u00e9rateur de canevas IA la transforme en un canevas structur\u00e9 et riche en insights, qui vous aide \u00e0 visualiser, planifier et affiner votre prochaine grande id\u00e9e.<\/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);\">Canevas Lean \u2013 Visual Paradigm<\/a>: 28 octobre 2025 \u2013 Notre application est con\u00e7ue pour \u00eatre votre partenaire strat\u00e9gique, offrant des outils intelligents pour am\u00e9liorer chaque \u00e9tape de votre processus de planification pour le canevas de mod\u00e8le d\u2019entreprise. \u2026 Avez-vous une id\u00e9e de startup ? Entrez simplement \u00ab une application mobile pour la livraison de repas maison locaux \u00bb et laissez notre IA g\u00e9n\u00e9rer un canevas Lean complet, d\u00e9taillant le probl\u00e8me, la solution et les indicateurs cl\u00e9s.<\/p>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Introduction \u00e0 l&#8217;exp\u00e9rience utilisateur Lean Dans le monde rapide du d\u00e9veloppement de produits num\u00e9riques, les plans commerciaux traditionnels deviennent souvent obsol\u00e8tes avant m\u00eame d\u2019\u00eatre finalis\u00e9s. Que vous soyez fondateur de startup, responsable produit ou membre d\u2019une \u00e9quipe agile, la n\u00e9cessit\u00e9 d\u2019une approche dynamique et it\u00e9rative de la strat\u00e9gie est primordiale. Entrez le Lean UX Canvas, un cadre d\u00e9velopp\u00e9 par Jeff Gothelf qui comble le foss\u00e9 entre les objectifs commerciaux de haut niveau et la conception centr\u00e9e sur l\u2019utilisateur. Ce guide explore en profondeur le Lean UX Canvas, en d\u00e9taillant comment il aide les \u00e9quipes \u00e0 concevoir leur travail comme des probl\u00e8mes commerciaux \u00e0 r\u00e9soudre plut\u00f4t que comme des fonctionnalit\u00e9s \u00e0 d\u00e9velopper. Nous explorerons \u00e9galement comment les outils modernes, notamment Visual Paradigm AI, peuvent r\u00e9volutionner la mani\u00e8re dont vous remplissez, analysez et mettez en \u0153uvre ces strat\u00e9gies. Concepts cl\u00e9s Avant de plonger dans les m\u00e9canismes du canevas, il est essentiel de comprendre les d\u00e9finitions fondamentales qui animent ce cadre. UX Lean : Une approche de la conception qui privil\u00e9gie la collaboration, la prototypage rapide et les retours utilisateurs plut\u00f4t que la documentation lourde. Elle combine les principes du Design Thinking, du d\u00e9veloppement logiciel agile et de la m\u00e9thodologie Lean Startup. Le mod\u00e8le du canevas : Contrairement \u00e0 un document lin\u00e9aire, un canevas est un tableau visuel avec des \u00e9l\u00e9ments d\u00e9crivant la proposition de valeur, infrastructure, clients et finances. Le Lean UX Canvas se concentre sp\u00e9cifiquement sur la validation des hypoth\u00e8ses. R\u00e9sultats vs. Sorties : Une distinction cruciale en UX Lean. Sorties sont les fonctionnalit\u00e9s que vous construisez (par exemple, une barre de recherche). R\u00e9sultats sont les changements mesurables dans le comportement des clients qui g\u00e9n\u00e8rent de la valeur commerciale (par exemple, des taux de conversion accrus). Conception pilot\u00e9e par des hypoth\u00e8ses : La pratique de consid\u00e9rer les d\u00e9cisions de conception comme des hypoth\u00e8ses qui doivent \u00eatre test\u00e9es et valid\u00e9es \u00e0 travers des exp\u00e9riences plut\u00f4t que d\u2019\u00eatre accept\u00e9es comme des faits. VP AI : Automatisation et am\u00e9lioration de la planification strat\u00e9gique Visual Paradigm a int\u00e9gr\u00e9 une intelligence artificielle avanc\u00e9e dans son outils de canevas pour transformer la mani\u00e8re dont les \u00e9quipes \u00e9laborent leur strat\u00e9gie. Bien que le canevas Lean UX fournisse la structure, Visual Paradigm AI fournit l&#8217;intelligence n\u00e9cessaire pour le remplir de mani\u00e8re efficace et pr\u00e9cise. Canevas strat\u00e9gique g\u00e9n\u00e9r\u00e9 par l&#8217;IA Commencer \u00e0 partir d&#8217;une page blanche est souvent la partie la plus difficile de la strat\u00e9gie. Avec Visual Paradigm, vous pouvez g\u00e9n\u00e9rer un canevas entier \u00e0 partir d&#8217;une simple id\u00e9e. En d\u00e9crivant simplement votre vision, le g\u00e9n\u00e9rateur de canevas par IA cr\u00e9e un brouillon structur\u00e9 et riche en insights. Cela vous aide \u00e0 visualiser la port\u00e9e initiale et \u00e0 affiner votre prochaine grande id\u00e9e sans passer des heures \u00e0 formater ou \u00e0 faire des premi\u00e8res s\u00e9ances de cerveau de groupe. Moteur d&#8217;id\u00e9ation par IA Les blocages cr\u00e9atifs peuvent freiner l&#8217;avancement. Le moteur d&#8217;id\u00e9ation par IA de VP propose des suggestions pertinentes selon le contexte pour chaque section du canevas. Que vous ayez du mal \u00e0 d\u00e9finir un Avantage utilisateur ou un Solution, l&#8217;IA sugg\u00e8re des id\u00e9es pour \u00e9largir votre r\u00e9flexion, vous aidant \u00e0 surmonter les obstacles et \u00e0 explorer de nouvelles directions strat\u00e9giques. Analyse compl\u00e8te par IA Une fois votre canevas rempli, VP AI ne s&#8217;arr\u00eate pas l\u00e0. Il peut effectuer des analyses automatiques telles que SWOT, potentiel du march\u00e9 et \u00e9valuation des risques, bas\u00e9es sur les donn\u00e9es de votre canevas Lean UX. Cela transforme des concepts statiques en insights strat\u00e9giques exploitables, vous permettant de tester vos hypoth\u00e8ses et d&#8217;am\u00e9liorer la pr\u00e9cision de vos prises de d\u00e9cision avant d&#8217;\u00e9crire une seule ligne de code. Guides : Cr\u00e9ation de votre canevas Lean UX Cr\u00e9er un canevas Lean UX est un processus collaboratif. Suivez ces guides \u00e9tape par \u00e9tape pour vous assurer que votre canevas comble efficacement le foss\u00e9 entre les besoins m\u00e9tier et la valeur utilisateur. 1. D\u00e9finir le probl\u00e8me m\u00e9tier Commencez par identifier l&#8217;\u00e9tat actuel de l&#8217;entreprise. Quel probl\u00e8me essayez-vous de r\u00e9soudre ? Assurez-vous que cela est clairement exprim\u00e9 et ne s&#8217;agit pas d&#8217;une demande de fonctionnalit\u00e9 d\u00e9guis\u00e9e. Posez-vous la question : \u00ab Quel objectif n&#8217;arrivons-nous pas \u00e0 atteindre ? \u00bb 2. Identifier les r\u00e9sultats m\u00e9tier D\u00e9terminez les changements dans le comportement des clients qui indiqueront que vous avez r\u00e9solu le probl\u00e8me. Ceux-ci doivent \u00eatre des indicateurs quantitatifs et qualitatifs (par exemple, augmenter la fid\u00e9lit\u00e9 de 10 % ou r\u00e9duire le nombre de tickets d&#8217;assistance). 3. Identifier les utilisateurs et les clients Pour qui r\u00e9solvez-vous ce probl\u00e8me ? Soyez pr\u00e9cis. Au lieu de \u00ab tout le monde \u00bb, concentrez-vous sur des personas sp\u00e9cifiques comme \u00ab les gestionnaires marketing press\u00e9s \u00bb ou \u00ab les premiers acheteurs de maison \u00bb. Cela affine votre strat\u00e9gie. 4. Formuler les avantages utilisateur Quels objectifs sp\u00e9cifiques vos utilisateurs cherchent-ils \u00e0 atteindre ? Il ne s&#8217;agit pas de votre produit, mais de leur vie. Par exemple, un avantage utilisateur n&#8217;est pas \u00ab enregistrer un fichier \u00bb, mais plut\u00f4t \u00ab avoir l&#8217;esprit en paix en sachant que le travail est s\u00e9curis\u00e9 \u00bb. 5. \u00c9laborer des solutions Listez les fonctionnalit\u00e9s du produit, les am\u00e9liorations ou les services que vous pensez permettront d&#8217;apporter des b\u00e9n\u00e9fices aux utilisateurs et d&#8217;atteindre les objectifs commerciaux. C&#8217;est l&#8217;endroit id\u00e9al pour l&#8217;innovation cr\u00e9ative. 6. Formuler des hypoth\u00e8ses C&#8217;est le c\u0153ur du tableau. Combinez les \u00e9tapes pr\u00e9c\u00e9dentes en \u00e9nonc\u00e9s v\u00e9rifiables :\u00ab Nous croyons que [Solution] entra\u00eenera [B\u00e9n\u00e9fice pour l&#8217;utilisateur] pour [Personnage utilisateur]. Nous saurons que nous avons raison lorsque nous verrons [R\u00e9sultat commercial]. \u00bb 7. D\u00e9terminer ce qu&#8217;il faut apprendre en premier Identifiez l&#8217;hypoth\u00e8se la plus risqu\u00e9e dans votre hypoth\u00e8se. Quelle est la chose unique qui, si elle est fausse, ferait \u00e9chouer toute la strat\u00e9gie ? Concentrez vos premiers efforts de test sur cela. Exemples d&#8217;applications dans le monde r\u00e9el Pour comprendre la polyvalence du tableau Lean UX, envisagez comment il s&#8217;applique \u00e0 divers sc\u00e9narios commerciaux : Taux de conversion d&#8217;inscription SaaS : Une \u00e9quipe charg\u00e9e d&#8217;am\u00e9liorer les inscriptions aux essais gratuits pourrait utiliser le tableau pour supposer que simplifier le formulaire d&#8217;inscription (solution) r\u00e9duira la friction (b\u00e9n\u00e9fice pour l&#8217;utilisateur), entra\u00eenant ainsi un taux de<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-4656","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Ma\u00eetriser le canevas Lean UX : un guide avec int\u00e9gration de l\u2019IA<\/title>\n<meta name=\"description\" content=\"Un guide complet sur le canevas Lean UX. 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