{"id":4664,"date":"2025-12-29T02:30:09","date_gmt":"2025-12-29T02:30:09","guid":{"rendered":"https:\/\/www.diagrams-ai.com\/de\/the-ultimate-guide-to-soar-analysis-strategic-planning-with-ai\/"},"modified":"2025-12-29T02:30:09","modified_gmt":"2025-12-29T02:30:09","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 fokussieren traditionelle Planungsans\u00e4tze oft stark auf die Risikominderung und die Behebung von Schw\u00e4chen. Obwohl dies berechtigt ist, kann dieser Ansatz Innovation manchmal hemmen. Treten Sie ein: die<strong>SOAR-Analyse<\/strong>\u2014eine zukunftsorientierte Struktur, die darauf abzielt, das Potenzial einer Organisation zu erschlie\u00dfen. Indem sie sich auf St\u00e4rken, Chancen, Aspirationen und Ergebnisse konzentriert, verlagert SOAR das Gespr\u00e4ch von \u201ewas falsch ist\u201c hin 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 Funktionsweise des SOAR-Rahmens, liefert praktikable Anleitungen zur Umsetzung und zeigt, wie Visual Paradigms KI-gest\u00fctztes Business Canvas Toolkit Ihre<a href=\"https:\/\/www.visual-paradigm.com\/features\/strategic-analysis-tools\/\">strategische Planung<\/a>Sitzungen revolutionieren kann.<\/p>\n<h2>Wichtige Konzepte: Das SOAR-Modell verstehen<\/h2>\n<p>Bevor Sie in die Umsetzung einsteigen, 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 Forschung, das sich nahezu 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 Sie sich stellen sollten, 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 SOAR werden oft durch die Betrachtung von Markttrends, L\u00fccken in der Branche oder neue Partnerschaften formuliert. Fragen, die Sie sich stellen sollten, 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> Dieser Pfeiler repr\u00e4sentiert die Vision f\u00fcr die Zukunft. Hier definiert die Organisation, was sie werden m\u00f6chte, unabh\u00e4ngig von aktuellen Einschr\u00e4nkungen. Er spiegelt den gemeinsamen Wunsch der Beteiligten wider. Fragen, die Sie sich stellen sollten, 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 Sie sich stellen sollten, sind:<em>Wie messen wir Erfolg? Was sind unsere Schl\u00fcsselkennzahlen (KPIs)?<\/em><\/li>\n<\/ul>\n<h3>SOAR im Vergleich zu SWOT: Ein schneller \u00dcberblick<\/h3>\n<p>Obwohl beide Rahmenwerke f\u00fcr die strategische Planung unverzichtbar 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 stockt oft in der Ideenfindungsphase oder wenn versucht wird, komplexe Ideen in ein pr\u00e4sentierbares Dokument zu formen. Das k\u00fcnstliche Intelligenz-gest\u00fctzte <a href=\"https:\/\/www.visual-paradigm.com\/features\/analysis-canvas-tool\/\">Canvas-Tool<\/a> wirkt als Verst\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 kompletten 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 \u201eAdoption 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 abfallfreien Einzelhandel werden.\u201c<\/li>\n<li><strong>Ergebnisse:<\/strong> Vorschlag von Metriken wie \u201e20 % Reduktion des Kohlenstoff-Fu\u00dfabdrucks bis Ende des vierten Quartals.\u201c<\/li>\n<\/ul>\n<h3>KI-unterst\u00fctzte Ideenfindung und detaillierte Analysen<\/h3>\n<p>\u00dcber die erste Generierung hinaus hilft die KI bei der \u00dcberwindung von Schreibblockaden in der Feinabstimmungsphase. Wenn Ihr Team Schwierigkeiten hat, eine bestimmte \u201eChance\u201c klar 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 einer ganzheitlichen Canvas-Ansicht zu einer fokussierten 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 Leinwand und pr\u00fcft, ob Ihre Chancen Ihre Aspirationen realistisch unterst\u00fctzen. Sobald abgeschlossen, erm\u00f6glicht das Tool professionelle Exporte. Sie k\u00f6nnen Ihre visuelle Leinwand und die von der KI generierten Erkenntnisse in professionell gestaltete Word-, Markdown- oder PDF-Dokumente umwandeln, die bereit f\u00fcr Pr\u00e4sentationen bei Stakeholdern sind.<\/p>\n<h2>Richtlinien: Schritt-f\u00fcr-Schritt-Implementierung<\/h2>\n<p>F\u00fchren Sie eine erfolgreiche SOAR-Analyse durch, indem Sie dieser strukturierten Vorgehensweise folgen, um eine Ausrichtung und umsetzbare Ergebnisse sicherzustellen.<\/p>\n<h3>Schritt 1: Die Untersuchung beginnen<\/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 des Potenzials statt als Kritik an der Leistung fest.<\/p>\n<h3>Schritt 2: St\u00e4rken identifizieren (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 (Markenreputation, Unternehmenskultur). Verwenden Sie das VP AI-Tool, um diese St\u00e4rken zu kategorisieren, um zu sehen, in welchen Bereichen des Unternehmens die St\u00e4rke am gr\u00f6\u00dften ist.<\/p>\n<h3>Schritt 3: Chancen aufdecken (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, was Sie gut k\u00f6nnen, und dem, was der Markt ben\u00f6tigt. Stellen Sie sicher, dass diese Chancen realistisch und umsetzbar sind.<\/p>\n<h3>Schritt 4: Aspirationen definieren (Die \u201eZukunft\u201c)<\/h3>\n<p>Dies ist die kreative Phase. Ermuntern Sie die Stakeholder, gro\u00df zu tr\u00e4umen. Wof\u00fcr sollte die Organisation in 5 oder 10 Jahren bekannt sein? Dieser Abschnitt sollte emotional und inspirierend sein und die Begeisterung der Mitarbeiter anfachen.<\/p>\n<h3>Schritt 5: Ergebnisse festlegen (Die \u201eMessung\u201c)<\/h3>\n<p>\u00dcbersetzen Sie die Aspirationen in Daten. Wenn die Aspiration \u201eMarktf\u00fchrerschaft\u201c ist, 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 einen taktischen<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 Ihres<a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/features\/strategic-analysis-tool\/\">strategischen Analysen<\/a>erfordert mehr als nur Felder auszuf\u00fcllen. Verwenden Sie diese Tipps, um die Wirksamkeit Ihrer SOAR-Sitzungen zu steigern.<\/p>\n<ul>\n<li><strong>Kombinieren Sie mit anderen Leinw\u00e4nden:<\/strong> Das Visual Paradigm Toolkit bietet Rahmenwerke wie die<em>Wirkungs-Kraft-Matrix<\/em>. Nach der Ideengenerierung in SOAR verschieben Sie diese in eine Wirkungs-Kraft-Matrix, um zu priorisieren, 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 Kernmotivation und zum Wert vorzudringen. Dies f\u00fchrt zu aussagekr\u00e4ftigeren Visionserkl\u00e4rungen.<\/li>\n<li><strong>Regelm\u00e4\u00dfig iterieren:<\/strong> Eine SOAR-Analyse ist kein einmaliger Dokument. M\u00e4rkte \u00e4ndern sich, ebenso wie St\u00e4rken. \u00dcberpr\u00fcfen Sie die Leinwand quartalsweise, um Ergebnisse und Chancen basierend auf R\u00fcckmeldungen aus der realen Welt 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 Fernarbeiter zu erstellen, damit die Ziele t\u00e4glich sichtbar bleiben.<\/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 die Gesch\u00e4ftsmodell-Matrix? Warum visuelle Paradigmen und KI-Tools verwenden?<\/a>: Dieser umfassende Leitfaden erkl\u00e4rt die Gesch\u00e4ftsmodell-Matrix, ihre zentralen Komponenten und wie visuelle Paradigmen sowie 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 die Gesch\u00e4ftsmodell-Matrix \u2013 Sofortige Strategiegestaltung<\/a>: Ein KI-getriebenes Werkzeug, das die Erstellung von Gesch\u00e4ftsmodell-Matrizen 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-basierte Canvas-Anwendung, die Nutzern hilft, Gesch\u00e4ftsmodelle, Wertversprechen und Strategierahmen mit intelligenten Vorschl\u00e4gen und Automatisierung 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.visual-paradigm.com\/solution\/ai-business-model-canvas-tool\/\" style=\"background-color: transparent; color: rgb(12, 147, 228);\">KI-Gesch\u00e4ftsmodell-Matrix-Tool \u2013 Intelligente Strategieentwicklung<\/a>: Eine umfassende, durch KI verbesserte L\u00f6sung zum Aufbau und zur Verfeinerung 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);\">AI-Canvas-Editor-Release-Update<\/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 Gesch\u00e4ftsmodell-Matrix-Tool<\/a>: Ein Schritt-f\u00fcr-Schritt-Leitfaden zur Verwendung eines KI-optimierten Tools zur Erstellung und Verfeinerung von Gesch\u00e4ftsmodell-Matrizen mit intelligentem Eingabeprozess 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-Modell-Matrix | KI-gest\u00fctztes Strategietool von VP<\/a>: 28. Oktober 2025 \u2013 Koordinieren Sie Live-Sitzungen mit Ihrem Team mithilfe des integrierten Timers und exportieren Sie Ihre endg\u00fcltige Matrix oder Berichte in professionelle Formate wie Word, Markdown oder CSV. \u2026 Die Mission-Modell-Matrix ist speziell f\u00fcr Nicht-Profits, Beh\u00f6rden, soziale Unternehmen und alle Organisationen konzipiert, deren prim\u00e4res Ziel die Erreichung der Mission statt 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 Gesch\u00e4fts-Canvas-Toolkit mit Visual Paradigm<\/a>: Diese Seite bietet einen detaillierten Leitfaden zur Verwendung eines KI-optimierten Gesch\u00e4ftsmodell-Matrix-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, Gesch\u00e4ftsmodelle 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);\">Die Beherrschung der Gesch\u00e4ftsmodell-Matrix mit KI: Schritt-f\u00fcr-Schritt-Anleitung mit Visual Paradigm<\/a>: Dieser Blogbeitrag bietet eine strukturierte Anleitung zur Nutzung der KI-Funktionen in Visual Paradigm, um Gesch\u00e4ftsmodell-Matrizen 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 Gesch\u00e4ftsmodell-Matrix-Builder \u2013 Visual Paradigm<\/a>: Diese Seite erkl\u00e4rt die Funktionalit\u00e4t des KI-gest\u00fctzten Gesch\u00e4ftsmodell-Matrix-Builders und zeigt auf, wie maschinelles Lernen die Erstellung von Matrizen 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 Strategietools-Analyse-Canvas<\/a>: Bearbeiten Sie die lokalisierte Version: Deep Learning AI-Canvas (TW) | Deep Learning AI-Canvas (CN) Diese Seite anzeigen in: EN TW CN \u00b7 Visual Paradigm Online (VP Online) ist eine Online-Diagramm-Software, die Analyse-Canvas, verschiedene Diagramme, UML, Flussdiagramme, Rack-Diagramme, Organigramme, Stammb\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\u00fctztes 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\u00fctztes Strategietool von VP<\/a>: 28. Oktober 2025 \u2013 Erstellen Sie innerhalb von Momenten 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, die jeden Schritt Ihres Planungsprozesses f\u00fcr den Business Model Canvas verbessern. \u2026 Haben Sie eine Startup-Idee? Geben Sie einfach \u201eeine Mobile-App f\u00fcr die Lieferung hausgemachter 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 fokussieren traditionelle Planungsans\u00e4tze oft stark auf die Risikominderung und die Behebung von Schw\u00e4chen. Obwohl dies berechtigt ist, kann dieser Ansatz Innovation manchmal hemmen. Treten Sie ein: dieSOAR-Analyse\u2014eine zukunftsorientierte Struktur, die darauf abzielt, das Potenzial einer Organisation zu erschlie\u00dfen. Indem sie sich auf St\u00e4rken, Chancen, Aspirationen und Ergebnisse konzentriert, verlagert SOAR das Gespr\u00e4ch von \u201ewas falsch ist\u201c hin zu \u201ewas m\u00f6glich ist\u201c. Dieser umfassende Leitfaden untersucht die Funktionsweise des SOAR-Rahmens, liefert praktikable Anleitungen zur Umsetzung und zeigt, wie Visual Paradigms KI-gest\u00fctztes Business Canvas Toolkit Ihrestrategische PlanungSitzungen revolutionieren kann. Wichtige Konzepte: Das SOAR-Modell verstehen Bevor Sie in die Umsetzung einsteigen, 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 Forschung, das sich nahezu 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 Sie sich stellen sollten, 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 SOAR werden oft durch die Betrachtung von Markttrends, L\u00fccken in der Branche oder neue Partnerschaften formuliert. Fragen, die Sie sich stellen sollten, sind:In welche neuen M\u00e4rkte k\u00f6nnen wir eintreten? Welche Trends passen zu unseren St\u00e4rken? Aspirationen (A): Dieser Pfeiler repr\u00e4sentiert die Vision f\u00fcr die Zukunft. Hier definiert die Organisation, was sie werden m\u00f6chte, unabh\u00e4ngig von aktuellen Einschr\u00e4nkungen. Er spiegelt den gemeinsamen Wunsch der Beteiligten wider. Fragen, die Sie sich stellen sollten, 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 Sie sich stellen sollten, sind:Wie messen wir Erfolg? Was sind unsere Schl\u00fcsselkennzahlen (KPIs)? SOAR im Vergleich zu SWOT: Ein schneller \u00dcberblick Obwohl beide Rahmenwerke f\u00fcr die strategische Planung unverzichtbar 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 stockt oft in der Ideenfindungsphase oder wenn versucht wird, komplexe Ideen in ein pr\u00e4sentierbares Dokument zu formen. Das k\u00fcnstliche Intelligenz-gest\u00fctzte Canvas-Tool wirkt als Verst\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 kompletten 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 \u201eAdoption der Kreislaufwirtschaft\u201c oder \u201eDigitale Mode-Assets.\u201c Ziele:Entwurf vonVisionserkl\u00e4rungen wie \u201eZum globalen Standard f\u00fcr abfallfreien Einzelhandel werden.\u201c Ergebnisse: Vorschlag von Metriken wie \u201e20 % Reduktion des Kohlenstoff-Fu\u00dfabdrucks bis Ende des vierten Quartals.\u201c KI-unterst\u00fctzte Ideenfindung und detaillierte Analysen \u00dcber die erste Generierung hinaus hilft die KI bei der \u00dcberwindung von Schreibblockaden in der Feinabstimmungsphase. Wenn Ihr Team Schwierigkeiten hat, eine bestimmte \u201eChance\u201c klar 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 einer ganzheitlichen Canvas-Ansicht zu einer fokussierten 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 Leinwand und pr\u00fcft, ob Ihre Chancen Ihre Aspirationen realistisch unterst\u00fctzen. Sobald abgeschlossen, erm\u00f6glicht das Tool professionelle Exporte. Sie k\u00f6nnen Ihre visuelle Leinwand und die von der KI generierten Erkenntnisse in professionell gestaltete Word-, Markdown- oder PDF-Dokumente umwandeln, die bereit f\u00fcr Pr\u00e4sentationen bei Stakeholdern sind. Richtlinien: Schritt-f\u00fcr-Schritt-Implementierung F\u00fchren Sie eine erfolgreiche SOAR-Analyse durch, indem Sie dieser strukturierten Vorgehensweise folgen, um eine Ausrichtung und umsetzbare Ergebnisse sicherzustellen. Schritt 1: Die Untersuchung beginnen 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 des Potenzials statt als Kritik an der Leistung fest. Schritt 2: St\u00e4rken identifizieren (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 (Markenreputation, Unternehmenskultur). Verwenden Sie das VP AI-Tool, um diese St\u00e4rken zu kategorisieren, um zu sehen, in welchen Bereichen des Unternehmens die St\u00e4rke am gr\u00f6\u00dften ist. Schritt 3: Chancen aufdecken (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, was Sie gut k\u00f6nnen, und dem, was der Markt ben\u00f6tigt. Stellen Sie sicher, dass diese Chancen realistisch und umsetzbar sind. Schritt 4: Aspirationen definieren (Die \u201eZukunft\u201c) Dies ist die kreative Phase. Ermuntern Sie die Stakeholder, gro\u00df zu tr\u00e4umen. Wof\u00fcr sollte die Organisation in 5 oder 10 Jahren bekannt sein? Dieser Abschnitt sollte emotional und inspirierend sein und die Begeisterung der Mitarbeiter anfachen. Schritt 5: Ergebnisse festlegen (Die \u201eMessung\u201c) \u00dcbersetzen Sie die Aspirationen in Daten. Wenn die Aspiration \u201eMarktf\u00fchrerschaft\u201c ist, 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 einen taktischenRoadmap. Tipps und Tricks zur Maximierung von SOAR Die Optimierung Ihresstrategischen Analysenerfordert mehr als nur Felder auszuf\u00fcllen. Verwenden Sie diese Tipps, um die Wirksamkeit Ihrer SOAR-Sitzungen zu steigern. Kombinieren Sie mit anderen Leinw\u00e4nden: Das Visual Paradigm Toolkit bietet Rahmenwerke wie dieWirkungs-Kraft-Matrix. Nach der Ideengenerierung in SOAR verschieben Sie diese in eine Wirkungs-Kraft-Matrix, um zu priorisieren, welche Chancen zuerst verfolgt werden sollen. Verwenden Sie die \u201e5 Warum\u201c-Methode f\u00fcr Aspirationen: Wenn ein Teammitglied<\/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-4664","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>SOAR-Analyse-Leitfaden: Strategische Planung mit KI-Tools<\/title>\n<meta name=\"description\" content=\"Beherrschen Sie das SOAR-Analyse-Rahmenwerk mit unserem umfassenden Leitfaden. 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