{"id":3341,"date":"2026-02-24T20:39:20","date_gmt":"2026-02-24T20:39:20","guid":{"rendered":"https:\/\/www.diagrams-ai.com\/de\/the-ultimate-guide-to-soar-analysis-strategic-planning-with-ai\/"},"modified":"2026-02-24T20:39:20","modified_gmt":"2026-02-24T20:39:20","slug":"the-ultimate-guide-to-soar-analysis-strategic-planning-with-ai","status":"publish","type":"post","link":"https:\/\/www.diagrams-ai.com\/de\/the-ultimate-guide-to-soar-analysis-strategic-planning-with-ai\/","title":{"rendered":"Der ultimative Leitfaden zur SOAR-Analyse: Strategische Planung mit KI"},"content":{"rendered":"<p>In der dynamischen Landschaft des modernen Gesch\u00e4fts wird traditionelle Planungsmethoden oft stark auf die Risikominderung und die Behebung von Schw\u00e4chen ausgerichtet. Obwohl dies g\u00fcltig ist, kann dieser Ansatz Innovation manchmal hemmen. Treten Sie ein: <strong>SOAR-Analyse<\/strong>\u2014ein zukunftsorientierter Rahmen, der darauf abzielt, das Potenzial einer Organisation zu nutzen. Indem er sich auf St\u00e4rken, Chancen, Aspirationen und Ergebnisse konzentriert, verlagert SOAR das Gespr\u00e4ch von \u201ewas falsch ist\u201c zu \u201ewas m\u00f6glich ist.\u201c<br \/><img alt=\"layout of SOAR\" decoding=\"async\" src=\"https:\/\/canvas.visual-paradigm.com\/wp-content\/uploads\/2025\/12\/Soar-layout-1024x540.png\"\/><\/p>\n<p>Dieser umfassende Leitfaden untersucht die Mechanismen des SOAR-Rahmens, bietet praktische Anleitungen f\u00fcr die Umsetzung und zeigt, wie das KI-gest\u00fctzte Business Canvas Toolkit von Visual Paradigm Ihre<a href=\"https:\/\/www.visual-paradigm.com\/features\/strategic-analysis-tools\/\">strategische Planung<\/a>Sitzungen revolutionieren kann.<\/p>\n<h2>Wichtige Konzepte: Verst\u00e4ndnis des SOAR-Rahmens<\/h2>\n<p>Bevor man mit der Umsetzung beginnt, ist es entscheidend, die vier S\u00e4ulen zu verstehen, die eine SOAR-Analyse ausmachen. Im Gegensatz zu<a href=\"https:\/\/www.visual-paradigm.com\/guide\/strategic-analysis\/what-is-swot-analysis\/\">SWOT<\/a>, das positive und negative Faktoren ausbalanciert, ist SOAR ein Werkzeug der anerkennenden Untersuchung, das sich fast ausschlie\u00dflich auf positive Eigenschaften und zuk\u00fcnftiges Potenzial konzentriert.<\/p>\n<ul>\n<li><strong>St\u00e4rken (S):<\/strong> Dies bezieht sich darauf, was die Organisation gerade richtig macht<em>jetzt<\/em>. Es geht darum, Kernkompetenzen, einzigartige Verm\u00f6genswerte und Ressourcen zu identifizieren, die einen Wettbewerbsvorteil bieten. Fragen, die man stellen sollte, sind: <em>Was sind unsere gr\u00f6\u00dften St\u00e4rken? Was sch\u00e4tzen unsere Kunden an uns?<\/em><\/li>\n<li><strong>Chancen (O):<\/strong> Dies sind externe Umst\u00e4nde, die die Organisation f\u00fcr Wachstum nutzen kann. Chancen in der SOAR-Analyse werden oft durch Betrachtung von Markttrends, L\u00fccken in der Branche oder neuen Partnerschaften formuliert. Fragen, die man stellen sollte, sind: <em>In welche neuen M\u00e4rkte k\u00f6nnen wir eintreten? Welche Trends passen zu unseren St\u00e4rken?<\/em><\/li>\n<li><strong>Aspirationen (A):<\/strong> Diese S\u00e4ule repr\u00e4sentiert die Vision der Zukunft. Hier definiert die Organisation, was sie werden m\u00f6chte, unabh\u00e4ngig von aktuellen Einschr\u00e4nkungen. Sie spiegelt den gemeinsamen Wunsch der Stakeholder wider. Fragen, die man stellen sollte, sind: <em>Wie sieht unsere ideale Zukunft aus? Was ist unsere Leidenschaft?<\/em><\/li>\n<li><strong>Ergebnisse (R):<\/strong> Um Aspirationen in die Realit\u00e4t umzusetzen, m\u00fcssen Sie messbare Ergebnisse definieren. Ergebnisse zeigen an, wie Sie wissen, dass Sie Ihre Aspirationen erreicht haben. Fragen, die man stellen sollte, sind: <em>Wie messen wir Erfolg? Was sind unsere Schl\u00fcsselkennzahlen (KPIs)?<\/em><\/li>\n<\/ul>\n<h3>SOAR im Vergleich zu SWOT: Ein kurzer Vergleich<\/h3>\n<p>Obwohl beide Rahmenwerke f\u00fcr die strategische Planung unerl\u00e4sslich sind, dienen sie unterschiedlichen psychologischen und taktischen Zwecken.<\/p>\n<table>\n<tbody>\n<tr>\n<th>Merkmale<\/th>\n<th><a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/features\/swot-analysis-tool\/\">SWOT-Analyse<\/a><\/th>\n<th>SOAR-Analyse<\/th>\n<\/tr>\n<tr>\n<td><strong>Fokus<\/strong><\/td>\n<td>Analyse des aktuellen Zustands (St\u00e4rken &amp; Schw\u00e4chen)<\/td>\n<td>M\u00f6glichkeiten f\u00fcr die Zukunft (St\u00e4rken &amp; Vision)<\/td>\n<\/tr>\n<tr>\n<td><strong> Mindset<\/strong><\/td>\n<td>Risikominderung und Wettbewerb<\/td>\n<td>Innovation und Zusammenarbeit<\/td>\n<\/tr>\n<tr>\n<td><strong>Ausgangspunkt<\/strong><\/td>\n<td>Interne und externe Pr\u00fcfung<\/td>\n<td>Appreciative Inquiry<\/td>\n<\/tr>\n<tr>\n<td><strong>Ergebnis<\/strong><\/td>\n<td>Strategischer Schutz &amp; Verbesserung<\/td>\n<td>Strategisches Wachstum &amp; Ausrichtung<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>VP AI: Strategieautomatisierung mit Visual Paradigm<\/h2>\n<p>Die strategische Planung stottert oft in der Ideenfindungsphase oder wenn versucht wird, komplexe Ideen in ein pr\u00e4sentierbares Dokument zu formatieren. Visual Paradigms k\u00fcnstliche Intelligenz-gest\u00fctztes <a href=\"https:\/\/www.visual-paradigm.com\/features\/analysis-canvas-tool\/\">Canvas-Tool<\/a> wirkt als Kraftverst\u00e4rker f\u00fcr Strategieteams und bringt Sie innerhalb von Sekunden von einer leeren Seite zu einem umfassenden Plan.<\/p>\n<p><img alt=\"\" decoding=\"async\" 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\"\/><\/p>\n<h3>KI-gest\u00fctzte Canvas-Erstellung<\/h3>\n<p>Die gr\u00f6\u00dfte H\u00fcrde bei der strategischen Planung ist der \u201ekalte Start\u201c. Mit VP AI k\u00f6nnen Sie einen gesamten SOAR-Canvas aus einem einzigen Prompt generieren. Zum Beispiel, indem Sie \u201eSOAR-Analyse f\u00fcr eine nachhaltige Mode-Marke\u201c eingeben, f\u00fcllt die KI den Canvas sofort mit:<\/p>\n<ul>\n<li><strong>St\u00e4rken:<\/strong> Zum Beispiel \u201eEthische \u00dcberpr\u00fcfung der Lieferkette\u201c oder \u201eStarke Markenbindung bei der Generation Z.\u201c<\/li>\n<li><strong>Chancen:<\/strong> Erkennen von Trends wie \u201eEinf\u00fchrung der Kreislaufwirtschaft\u201c oder \u201edigitale Mode-Assets.\u201c<\/li>\n<li><strong>Ziele:<\/strong>Entwurf von<a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/features\/vision-and-strategy-template\/\">Visionserkl\u00e4rungen<\/a> wie \u201eZum globalen Standard f\u00fcr null-abfallbasierten Einzelhandel werden.\u201c<\/li>\n<li><strong>Ergebnisse:<\/strong> Vorschlag von Kennzahlen wie \u201e20 % Reduktion des CO\u2082-Fu\u00dfabdrucks bis zum vierten Quartal.\u201c<\/li>\n<\/ul>\n<h3>KI-unterst\u00fctzte Ideenfindung und tiefgehende Analysen<\/h3>\n<p> Neben der ersten Erstellung hilft die KI bei der Feinabstimmung, Blockaden zu \u00fcberwinden. Wenn Ihr Team Schwierigkeiten hat, eine bestimmte \u201eChance\u201c zu formulieren, kann die KI aktuelle Marktsignale und Branchenentwicklungen analysieren, um neue Ans\u00e4tze zu inspirieren. Dar\u00fcber hinaus erm\u00f6glicht das Tool tiefgehende Analysen; Sie k\u00f6nnen von der Gesamtsicht des Canvas auf eine fokussierte Ansicht einer einzelnen Sektion (z.\u202fB. Ziele) wechseln, um Kategorien hinzuzuf\u00fcgen, Erkenntnisse anzuh\u00e4ngen und die Erz\u00e4hlung ohne Ablenkungen zu strukturieren.<\/p>\n<h3>Strategische Analyse und Berichterstattung<\/h3>\n<p>VP AI geht \u00fcber einfaches Listenanlegen hinaus. Es bewertet die Logik Ihrer Vorlage und pr\u00fcft, ob Ihre Chancen Ihre Aspirationen tats\u00e4chlich realistisch unterst\u00fctzen. Sobald die Analyse abgeschlossen ist, erm\u00f6glicht das Tool professionelle Exporte. Sie k\u00f6nnen Ihre visuelle Vorlage und die von der KI generierten Erkenntnisse in professionell gestaltete Word-, Markdown- oder PDF-Dokumente umwandeln, die bereit f\u00fcr Pr\u00e4sentationen an Stakeholder sind.<\/p>\n<h2>Richtlinien: Schritt-f\u00fcr-Schritt-Implementierung<\/h2>\n<p>F\u00fchren Sie eine erfolgreiche SOAR-Analyse durch, indem Sie diesen strukturierten Ansatz befolgen, um eine Ausrichtung und umsetzbare Ergebnisse sicherzustellen.<\/p>\n<h3>Schritt 1: Initiiere die Untersuchung<\/h3>\n<p>Sammeln Sie eine vielf\u00e4ltige Gruppe von Stakeholdern. Da SOAR auf St\u00e4rken und Aspirationen basiert, profitiert es von einer Mischung aus F\u00fchrungskr\u00e4ften, Frontline-Mitarbeitern und sogar Kunden. Legen Sie eine positive Stimmung durch die Formulierung der Sitzung als Erkundung von Potenzialen statt als Kritik an der Leistung fest.<\/p>\n<h3>Schritt 2: Identifiziere St\u00e4rken (Das \u201eHeute\u201c)<\/h3>\n<p>Beginnen Sie damit, das zu kartieren, was heute existiert. Konzentrieren Sie sich auf greifbare Verm\u00f6genswerte (Kapital, propriet\u00e4re Technologie) und immaterielle Verm\u00f6genswerte (Markenimage, Unternehmenskultur). Nutzen Sie das VP-AI-Tool, um diese St\u00e4rken zu kategorisieren, um zu erkennen, in welchen Bereichen das Unternehmen am st\u00e4rksten ist.<\/p>\n<h3>Schritt 3: Entdecken Sie Chancen (Das \u201eN\u00e4chste\u201c)<\/h3>\n<p>Schauen Sie nach au\u00dfen. Analysieren Sie die externe Umgebung, um \u00dcbereinstimmungen mit Ihren internen St\u00e4rken zu finden. Dieser Schritt erfordert<a href=\"https:\/\/guides.visual-paradigm.com\/what-is-a-gap-analysis-your-guide-to-ai-powered-strategic-planning\/\">die Br\u00fccke zu schlagen<\/a>zwischen dem, worin Sie gut sind, und dem, was der Markt ben\u00f6tigt. Stellen Sie sicher, dass diese Chancen realistisch und umsetzbar sind.<\/p>\n<h3>Schritt 4: Definieren Sie Aspirationen (Die \u201eZukunft\u201c)<\/h3>\n<p>Dies ist die kreative Phase. Ermutigen Sie die Stakeholder, gro\u00df zu tr\u00e4umen. Wof\u00fcr soll die Organisation in 5 oder 10 Jahren bekannt sein? Dieser Abschnitt sollte emotional und inspirierend sein und die Begeisterung der Mitarbeiter anregen.<\/p>\n<h3>Schritt 5: Bestimmen Sie Ergebnisse (Das \u201eMessen\u201c)<\/h3>\n<p>\u00dcbersetzen Sie die Aspirationen in Daten. Wenn die Aspiration \u201eMarktf\u00fchrerschaft\u201c lautet, k\u00f6nnte das Ergebnis \u201e40 % Marktanteil\u201c sein. Stellen Sie sicher, dass jeder Aspiration ein entsprechender Ma\u00dfstab zugeordnet ist. Dies wandelt die strategische Vision in eine taktische<a href=\"https:\/\/www.visual-paradigm.com\/features\/roadmap-software\/\">Roadmap<\/a>.<\/p>\n<h2>Tipps und Tricks zur Maximierung von SOAR<\/h2>\n<p>Die Optimierung Ihrer<a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/features\/strategic-analysis-tool\/\">strategischen Analyse<\/a>erfordert mehr als nur das Ausf\u00fcllen von Feldern. Verwenden Sie diese Tipps, um die Wirksamkeit Ihrer SOAR-Sitzungen zu steigern.<\/p>\n<ul>\n<li><strong>Kombinieren Sie mit anderen Vorlagen:<\/strong> Das Visual-Paradigma-Toolkit bietet Rahmenwerke wie das<em>Wirkung-Aufwand-Matrix<\/em>. Nach der Ideengenerierung in SOAR \u00fcbertragen Sie sie in eine Wirkung-Aufwand-Matrix, um festzulegen, welche Chancen zuerst verfolgt werden sollen.<\/li>\n<li><strong>Verwenden Sie die \u201e5 Warum\u201c-Methode f\u00fcr Aspirationen:<\/strong> Wenn ein Teammitglied eine Aspiration vorschl\u00e4gt, fragen Sie f\u00fcnfmal \u201eWarum?\u201c, um zur eigentlichen Motivation und zum Kernwert vorzudringen. Dies f\u00fchrt zu bedeutungsvolleren Visionserkl\u00e4rungen.<\/li>\n<li><strong>Iterieren Sie regelm\u00e4\u00dfig:<\/strong> Eine SOAR-Analyse ist kein einmaliger Dokument. M\u00e4rkte ver\u00e4ndern sich, ebenso wie St\u00e4rken. Besuchen Sie die Vorlage quartalsweise erneut, um Ergebnisse und Chancen basierend auf R\u00fcckmeldungen aus der Realit\u00e4t anzupassen.<\/li>\n<li><strong>Nutzen Sie professionelle Exporte:<\/strong>Lassen Sie die Strategie nicht in der Software sterben. Verwenden Sie die Exportfunktion, um eine physische \u201eStrategiewand\u201c in Ihrem B\u00fcro oder ein digitales Handbuch f\u00fcr Remote-Teams zu erstellen, um die Aspirationen t\u00e4glich sichtbar zu halten.<\/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);\">Was ist der Business Model Canvas? Warum Visual Paradigmen und KI-Tools verwenden?<\/a>: Dieser umfassende Leitfaden erkl\u00e4rt den Business Model Canvas, seine Kernkomponenten und wie visuelle Paradigmen und KI-gest\u00fctzte Tools die strategische Planung und Unternehmensinnovation verbessern.<\/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);\">KI-gest\u00fctzter Builder f\u00fcr den Business Model Canvas \u2013 Sofortige Strategiegestaltung<\/a>: Ein KI-getriebenes Werkzeug, das die Erstellung von Business Model Canvases automatisiert und intelligente Vorschl\u00e4ge sowie Echtzeit-Einblicke bietet, um die Gesch\u00e4ftsplanung zu beschleunigen.<\/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);\">KI-Canvas-Tool \u2013 Intelligente Gestaltung f\u00fcr Gesch\u00e4ftsrahmen<\/a>: Eine KI-gest\u00fctzte Canvas-Anwendung, die Nutzern bei der Erstellung und Feinabstimmung von Gesch\u00e4ftsmodellen, Wertversprechen und Strategierahmen mit intelligenten Vorschl\u00e4gen und Automatisierung hilft.<\/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);\">KI-Tool f\u00fcr den Business Model Canvas \u2013 Intelligente Strategieentwicklung<\/a>: Eine umfassende, KI-optimierte L\u00f6sung zum Aufbau und zur Feinabstimmung von Gesch\u00e4ftsmodellen mit intelligenten Erkenntnissen, Echtzeit-Feedback und kooperativen Funktionen.<\/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);\">Aktualisierung des KI-Canvas-Editors<\/a>: Einf\u00fchrung eines KI-gest\u00fctzten Canvas-Editors, der die Diagrammerstellung durch intelligente Vorschl\u00e4ge und automatisierte Layout-Optimierung verbessert.<\/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);\">Leitfaden zum KI-gest\u00fctzten Tool f\u00fcr den Business Model Canvas<\/a>: Ein Schritt-f\u00fcr-Schritt-Leitfaden zur Verwendung eines KI-optimierten Tools zur Erstellung und Feinabstimmung von Business Model Canvases mit intelligentem Eingabedesign und Echtzeit-Empfehlungen.<\/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);\">Mission Model Canvas | KI-gest\u00fctziges Strategietool von VP<\/a>: 28. Oktober 2025 \u2013 Koordinieren Sie Live-Sitzungen mit Ihrem Team mithilfe des integrierten Timers und exportieren Sie Ihren finalen Canvas oder Berichte in professionelle Formate wie Word, Markdown oder CSV. \u2026 Der Mission Model Canvas ist speziell f\u00fcr Non-Profit-Organisationen, Beh\u00f6rden, soziale Unternehmen und alle Organisationen konzipiert, bei denen das prim\u00e4re Ziel die Erreichung der Mission statt der Gewinnmaximierung ist.<\/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);\">Umfassender Leitfaden: KI-gest\u00fctztes Business Canvas-Toolkit mit Visual Paradigm<\/a>: Diese Seite bietet einen detaillierten Leitfaden zur Verwendung eines KI-optimierten Business Model Canvas-Tools, das mit Visual Paradigm integriert ist, um die automatisierte Entwicklung von Gesch\u00e4ftsstrategien zu erm\u00f6glichen.<\/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);\">KI-Canvas-Tool \u2013 Visual Paradigm<\/a>: Ein KI-getriebenes Werkzeug innerhalb von Visual Paradigm, das Nutzern erm\u00f6glicht, Business Canvases durch intelligente Automatisierung und Eingabe \u00fcber nat\u00fcrliche Sprache zu erstellen und zu verfeinern.<\/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);\">Beherrschen des Business Model Canvas mit KI: Schritt-f\u00fcr-Schritt-Leitfaden mit Visual Paradigm<\/a>: Dieser Blogbeitrag bietet eine strukturierte Anleitung zur Nutzung der KI-Funktionen in Visual Paradigm, um Business Model Canvases effizient zu erstellen, anzupassen und zu optimieren.<\/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);\">So funktioniert der KI-gest\u00fctzte Builder f\u00fcr den Business Model Canvas \u2013 Visual Paradigm<\/a>: Diese Seite erkl\u00e4rt die Funktionalit\u00e4t des KI-gest\u00fctzten Builders f\u00fcr den Business Model Canvas und zeigt, wie maschinelles Lernen die Erstellung von Canvases und die Generierung strategischer Erkenntnisse automatisiert.<\/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);\">Deep Learning KI-Canvas | Vorlage f\u00fcr Analyse-Canvas-Tools zur Strategie<\/a>: Bearbeiten Sie die lokalisierte Version: Deep Learning KI-Canvas (TW) | Deep Learning KI-Canvas (CN) Diese Seite anzeigen in: EN TW CN \u00b7 Visual Paradigm Online (VP Online) ist eine Online-Diagramm-Software, die Analyse-Canvases, verschiedene Diagramme, UML, Flussdiagramme, Rack-Diagramme, Organigramme, Familienb\u00e4ume, ERD, Grundrisse usw. unterst\u00fctzt.<\/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);\">Produkt-Canvas | KI-gest\u00fctziges Strategietool von VP<\/a>: Erstellen Sie Produkte, die Menschen lieben. Kombinieren Sie Strategie, Design und Feedback in einem visuellen Raum mit unserem KI-gest\u00fctzten Produkt-Canvas, um Ideen schneller auf den Markt zu bringen.<\/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);\">Lean UX-Canvas | KI-gest\u00fctziges Strategietool von VP<\/a>: 28. Oktober 2025 \u2013 Erstellen Sie in wenigen Augenblicken einen vollst\u00e4ndigen Strategie-Rahmen. Beschreiben Sie einfach Ihre Vision, und der KI-Canvas-Generator verwandelt sie in einen strukturierten, erkenntnisreichen Canvas, der Ihnen hilft, Ihre n\u00e4chste gro\u00dfe Idee zu visualisieren, zu planen und zu verfeinern.<\/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);\">Lean Canvas \u2013 Visual Paradigm<\/a>: 28. Oktober 2025 \u2013 Unsere Anwendung ist darauf ausgelegt, Ihr strategischer Partner zu sein und intelligente Werkzeuge bereitzustellen, um jeden Schritt Ihres Planungsprozesses f\u00fcr den Business Model Canvas zu verbessern. \u2026 Haben Sie eine Startup-Idee? Geben Sie einfach \u201eeine Mobile-App f\u00fcr die Lieferung von hausgemachten Mahlzeiten vor Ort\u201c ein und lassen Sie unsere KI einen vollst\u00e4ndigen Lean Canvas erstellen, der das Problem, die L\u00f6sung und die wichtigsten Kennzahlen darstellt.<\/p>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>In der dynamischen Landschaft des modernen Gesch\u00e4fts wird traditionelle Planungsmethoden oft stark auf die Risikominderung und die Behebung von Schw\u00e4chen ausgerichtet. Obwohl dies g\u00fcltig ist, kann dieser Ansatz Innovation manchmal hemmen. Treten Sie ein: SOAR-Analyse\u2014ein zukunftsorientierter Rahmen, der darauf abzielt, das Potenzial einer Organisation zu nutzen. Indem er sich auf St\u00e4rken, Chancen, Aspirationen und Ergebnisse konzentriert, verlagert SOAR das Gespr\u00e4ch von \u201ewas falsch ist\u201c zu \u201ewas m\u00f6glich ist.\u201c Dieser umfassende Leitfaden untersucht die Mechanismen des SOAR-Rahmens, bietet praktische Anleitungen f\u00fcr die Umsetzung und zeigt, wie das KI-gest\u00fctzte Business Canvas Toolkit von Visual Paradigm Ihrestrategische PlanungSitzungen revolutionieren kann. Wichtige Konzepte: Verst\u00e4ndnis des SOAR-Rahmens Bevor man mit der Umsetzung beginnt, ist es entscheidend, die vier S\u00e4ulen zu verstehen, die eine SOAR-Analyse ausmachen. Im Gegensatz zuSWOT, das positive und negative Faktoren ausbalanciert, ist SOAR ein Werkzeug der anerkennenden Untersuchung, das sich fast ausschlie\u00dflich auf positive Eigenschaften und zuk\u00fcnftiges Potenzial konzentriert. St\u00e4rken (S): Dies bezieht sich darauf, was die Organisation gerade richtig machtjetzt. Es geht darum, Kernkompetenzen, einzigartige Verm\u00f6genswerte und Ressourcen zu identifizieren, die einen Wettbewerbsvorteil bieten. Fragen, die man stellen sollte, sind: Was sind unsere gr\u00f6\u00dften St\u00e4rken? Was sch\u00e4tzen unsere Kunden an uns? Chancen (O): Dies sind externe Umst\u00e4nde, die die Organisation f\u00fcr Wachstum nutzen kann. Chancen in der SOAR-Analyse werden oft durch Betrachtung von Markttrends, L\u00fccken in der Branche oder neuen Partnerschaften formuliert. Fragen, die man stellen sollte, sind: In welche neuen M\u00e4rkte k\u00f6nnen wir eintreten? Welche Trends passen zu unseren St\u00e4rken? Aspirationen (A): Diese S\u00e4ule repr\u00e4sentiert die Vision der Zukunft. Hier definiert die Organisation, was sie werden m\u00f6chte, unabh\u00e4ngig von aktuellen Einschr\u00e4nkungen. Sie spiegelt den gemeinsamen Wunsch der Stakeholder wider. Fragen, die man stellen sollte, sind: Wie sieht unsere ideale Zukunft aus? Was ist unsere Leidenschaft? Ergebnisse (R): Um Aspirationen in die Realit\u00e4t umzusetzen, m\u00fcssen Sie messbare Ergebnisse definieren. Ergebnisse zeigen an, wie Sie wissen, dass Sie Ihre Aspirationen erreicht haben. Fragen, die man stellen sollte, sind: Wie messen wir Erfolg? Was sind unsere Schl\u00fcsselkennzahlen (KPIs)? SOAR im Vergleich zu SWOT: Ein kurzer Vergleich Obwohl beide Rahmenwerke f\u00fcr die strategische Planung unerl\u00e4sslich sind, dienen sie unterschiedlichen psychologischen und taktischen Zwecken. Merkmale SWOT-Analyse SOAR-Analyse Fokus Analyse des aktuellen Zustands (St\u00e4rken &amp; Schw\u00e4chen) M\u00f6glichkeiten f\u00fcr die Zukunft (St\u00e4rken &amp; Vision) Mindset Risikominderung und Wettbewerb Innovation und Zusammenarbeit Ausgangspunkt Interne und externe Pr\u00fcfung Appreciative Inquiry Ergebnis Strategischer Schutz &amp; Verbesserung Strategisches Wachstum &amp; Ausrichtung VP AI: Strategieautomatisierung mit Visual Paradigm Die strategische Planung stottert oft in der Ideenfindungsphase oder wenn versucht wird, komplexe Ideen in ein pr\u00e4sentierbares Dokument zu formatieren. Visual Paradigms k\u00fcnstliche Intelligenz-gest\u00fctztes Canvas-Tool wirkt als Kraftverst\u00e4rker f\u00fcr Strategieteams und bringt Sie innerhalb von Sekunden von einer leeren Seite zu einem umfassenden Plan. KI-gest\u00fctzte Canvas-Erstellung Die gr\u00f6\u00dfte H\u00fcrde bei der strategischen Planung ist der \u201ekalte Start\u201c. Mit VP AI k\u00f6nnen Sie einen gesamten SOAR-Canvas aus einem einzigen Prompt generieren. Zum Beispiel, indem Sie \u201eSOAR-Analyse f\u00fcr eine nachhaltige Mode-Marke\u201c eingeben, f\u00fcllt die KI den Canvas sofort mit: St\u00e4rken: Zum Beispiel \u201eEthische \u00dcberpr\u00fcfung der Lieferkette\u201c oder \u201eStarke Markenbindung bei der Generation Z.\u201c Chancen: Erkennen von Trends wie \u201eEinf\u00fchrung der Kreislaufwirtschaft\u201c oder \u201edigitale Mode-Assets.\u201c Ziele:Entwurf vonVisionserkl\u00e4rungen wie \u201eZum globalen Standard f\u00fcr null-abfallbasierten Einzelhandel werden.\u201c Ergebnisse: Vorschlag von Kennzahlen wie \u201e20 % Reduktion des CO\u2082-Fu\u00dfabdrucks bis zum vierten Quartal.\u201c KI-unterst\u00fctzte Ideenfindung und tiefgehende Analysen Neben der ersten Erstellung hilft die KI bei der Feinabstimmung, Blockaden zu \u00fcberwinden. Wenn Ihr Team Schwierigkeiten hat, eine bestimmte \u201eChance\u201c zu formulieren, kann die KI aktuelle Marktsignale und Branchenentwicklungen analysieren, um neue Ans\u00e4tze zu inspirieren. Dar\u00fcber hinaus erm\u00f6glicht das Tool tiefgehende Analysen; Sie k\u00f6nnen von der Gesamtsicht des Canvas auf eine fokussierte Ansicht einer einzelnen Sektion (z.\u202fB. Ziele) wechseln, um Kategorien hinzuzuf\u00fcgen, Erkenntnisse anzuh\u00e4ngen und die Erz\u00e4hlung ohne Ablenkungen zu strukturieren. Strategische Analyse und Berichterstattung VP AI geht \u00fcber einfaches Listenanlegen hinaus. Es bewertet die Logik Ihrer Vorlage und pr\u00fcft, ob Ihre Chancen Ihre Aspirationen tats\u00e4chlich realistisch unterst\u00fctzen. Sobald die Analyse abgeschlossen ist, erm\u00f6glicht das Tool professionelle Exporte. Sie k\u00f6nnen Ihre visuelle Vorlage und die von der KI generierten Erkenntnisse in professionell gestaltete Word-, Markdown- oder PDF-Dokumente umwandeln, die bereit f\u00fcr Pr\u00e4sentationen an Stakeholder sind. Richtlinien: Schritt-f\u00fcr-Schritt-Implementierung F\u00fchren Sie eine erfolgreiche SOAR-Analyse durch, indem Sie diesen strukturierten Ansatz befolgen, um eine Ausrichtung und umsetzbare Ergebnisse sicherzustellen. Schritt 1: Initiiere die Untersuchung Sammeln Sie eine vielf\u00e4ltige Gruppe von Stakeholdern. Da SOAR auf St\u00e4rken und Aspirationen basiert, profitiert es von einer Mischung aus F\u00fchrungskr\u00e4ften, Frontline-Mitarbeitern und sogar Kunden. Legen Sie eine positive Stimmung durch die Formulierung der Sitzung als Erkundung von Potenzialen statt als Kritik an der Leistung fest. Schritt 2: Identifiziere St\u00e4rken (Das \u201eHeute\u201c) Beginnen Sie damit, das zu kartieren, was heute existiert. Konzentrieren Sie sich auf greifbare Verm\u00f6genswerte (Kapital, propriet\u00e4re Technologie) und immaterielle Verm\u00f6genswerte (Markenimage, Unternehmenskultur). Nutzen Sie das VP-AI-Tool, um diese St\u00e4rken zu kategorisieren, um zu erkennen, in welchen Bereichen das Unternehmen am st\u00e4rksten ist. Schritt 3: Entdecken Sie Chancen (Das \u201eN\u00e4chste\u201c) Schauen Sie nach au\u00dfen. Analysieren Sie die externe Umgebung, um \u00dcbereinstimmungen mit Ihren internen St\u00e4rken zu finden. Dieser Schritt erfordertdie Br\u00fccke zu schlagenzwischen dem, worin Sie gut sind, und dem, was der Markt ben\u00f6tigt. Stellen Sie sicher, dass diese Chancen realistisch und umsetzbar sind. Schritt 4: Definieren Sie Aspirationen (Die \u201eZukunft\u201c) Dies ist die kreative Phase. Ermutigen Sie die Stakeholder, gro\u00df zu tr\u00e4umen. Wof\u00fcr soll die Organisation in 5 oder 10 Jahren bekannt sein? Dieser Abschnitt sollte emotional und inspirierend sein und die Begeisterung der Mitarbeiter anregen. Schritt 5: Bestimmen Sie Ergebnisse (Das \u201eMessen\u201c) \u00dcbersetzen Sie die Aspirationen in Daten. Wenn die Aspiration \u201eMarktf\u00fchrerschaft\u201c lautet, k\u00f6nnte das Ergebnis \u201e40 % Marktanteil\u201c sein. Stellen Sie sicher, dass jeder Aspiration ein entsprechender Ma\u00dfstab zugeordnet ist. Dies wandelt die strategische Vision in eine taktischeRoadmap. Tipps und Tricks zur Maximierung von SOAR Die Optimierung Ihrerstrategischen Analyseerfordert mehr als nur das Ausf\u00fcllen von Feldern. Verwenden Sie diese Tipps, um die Wirksamkeit Ihrer SOAR-Sitzungen zu steigern. Kombinieren Sie mit anderen Vorlagen: Das Visual-Paradigma-Toolkit bietet Rahmenwerke wie dasWirkung-Aufwand-Matrix. Nach der Ideengenerierung in SOAR \u00fcbertragen Sie sie in eine Wirkung-Aufwand-Matrix, um festzulegen, welche Chancen zuerst verfolgt werden sollen. Verwenden Sie die \u201e5 Warum\u201c-Methode f\u00fcr Aspirationen: Wenn<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_title":"SOAR-Analyse-Leitfaden: Strategische Planung mit KI-Tools","_yoast_wpseo_metadesc":"Beherrschen Sie das SOAR-Analyse-Rahmenwerk mit unserem umfassenden Leitfaden. 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