{"id":3335,"date":"2026-02-24T20:17:58","date_gmt":"2026-02-24T20:17:58","guid":{"rendered":"https:\/\/www.diagrams-ai.com\/pl\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/"},"modified":"2026-02-24T20:17:58","modified_gmt":"2026-02-24T20:17:58","slug":"mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model","status":"publish","type":"post","link":"https:\/\/www.diagrams-ai.com\/pl\/mastering-organizational-alignment-a-comprehensive-guide-to-the-mckinsey-7s-model\/","title":{"rendered":"Opanowanie wyr\u00f3wnania organizacyjnego: Kompletny przewodnik po modelu McKinsey 7S"},"content":{"rendered":"<p>W z\u0142o\u017conym \u015bwiecie strategii biznesowej posiadanie genialnego planu to tylko po\u0142owa walki. Prawdziwym wyzwaniem cz\u0119sto jest realizacja i wyr\u00f3wnanie. Organizacje to systemy \u017cywe, gdzie zmiana w jednym obszarze odbija si\u0119 na innych. Aby porusza\u0107 si\u0119 po tej z\u0142o\u017cono\u015bci, liderzy opieraj\u0105 si\u0119 na solidnych ramach, aby zapewni\u0107, \u017ce ka\u017cdy element ich dzia\u0142alno\u015bci porusza si\u0119 w tym samym kierunku. Jednym z najtrwalszych i najskuteczniejszych narz\u0119dzi jest model McKinsey 7S.<\/p>\n<p><img alt=\"McKinsey 7S Model layout\" decoding=\"async\" src=\"https:\/\/canvas.visual-paradigm.com\/wp-content\/uploads\/2025\/12\/McKinsey-7S-Model-layout-1024x574.png\"\/><\/p>\n<p>Ten przewodnik bada g\u0142\u0119bi\u0119 modelu McKinsey 7S, kluczowego elementu <a href=\"https:\/\/www.archimetric.com\/comprehensive-tutorial-visual-paradigm-model-canvas-tool\/\">Najlepszego zestawu narz\u0119dzi do tworzenia business canvas<\/a>. Przeanalizujemy jego kluczowe koncepcje, podamy krok po kroku wytyczne wdro\u017cenia oraz poka\u017cemy, jak sztuczna inteligencja (AI) mo\u017ce prze\u0142omowo zmieni\u0107 spos\u00f3b analizowania i wyr\u00f3wnywania Twojej organizacji.<\/p>\n<h2>Kluczowe koncepcje: Dekodowanie modelu 7S<\/h2>\n<p>Model McKinsey 7S to narz\u0119dzie strategiczne zaprojektowane do oceny skuteczno\u015bci organizacji. W przeciwie\u0144stwie do ram, kt\u00f3re skupiaj\u0105 si\u0119 wy\u0142\u0105cznie na czynnikach zewn\u0119trznych (np. PESTLE) lub pozycji konkurencyjnej (np. pi\u0119ciu si\u0142 Portera), model 7S skupia si\u0119 na wyr\u00f3wnaniu wewn\u0119trznym. Za\u0142o\u017cenie jest proste: aby organizacja dzia\u0142a\u0142a skutecznie, siedem okre\u015blonych element\u00f3w musi by\u0107 skoordynowanych i wzajemnie wzmacniaj\u0105cych si\u0119.<\/p>\n<p>Te siedem element\u00f3w dzieli si\u0119 na elementy \u201etwarde\u201d i \u201emi\u0119kkie\u201d. Zrozumienie tej r\u00f3\u017cnicy jest kluczowe dla skutecznej analizy.<\/p>\n<h3>Elementy twarde<\/h3>\n<p>S\u0105 to elementy materialne, \u0142atwiejsze do zidentyfikowania i bezpo\u015brednio wp\u0142ywaj\u0105ce na decyzje mened\u017cerskie.<\/p>\n<ul>\n<li><strong>Strategia:<\/strong> Plan opracowany w celu budowania i utrzymywania przewagi konkurencyjnej wobec konkurencji. Wskazuje drog\u0119, kt\u00f3r\u0105 organizacja zamierza przej\u015b\u0107, aby osi\u0105gn\u0105\u0107 swoje cele.<\/li>\n<li><strong>Struktura:<\/strong> Spos\u00f3b, w jaki organizacja jest zorganizowana oraz kto komu podlega. Obejmuje wykres organizacyjny i hierarchi\u0119 w\u0142adzy.<\/li>\n<li><strong>Systemy:<\/strong> Codzienne dzia\u0142ania i procedury, w kt\u00f3rych uczestnicz\u0105 pracownicy, aby wykona\u0107 zadania. Obejmuje to wszystko \u2013 od system\u00f3w IT po procedury finansowe i przep\u0142ywy pracy w HR.<\/li>\n<\/ul>\n<h3>Elementy mi\u0119kkie<\/h3>\n<p>S\u0105 to elementy niematerialne, trudniejsze do opisania i kszta\u0142towane przez kultur\u0119. Jednak cz\u0119sto s\u0105 r\u00f3wnie wa\u017cne jak elementy twarde w okre\u015bleniu sukcesu.<\/p>\n<ul>\n<li><strong>Wsp\u00f3lne warto\u015bci:<\/strong>J\u0105dro modelu. S\u0105 to podstawowe warto\u015bci firmy, kt\u00f3re wyra\u017caj\u0105 si\u0119 w kulturze korporacyjnej i og\u00f3lnym etosie pracy. \u0141\u0105cz\u0105 wszystkie pozosta\u0142e elementy.<\/li>\n<li><strong>Styl:<\/strong>Styl przyj\u0119ty przez lider\u00f3w. Obejmuje styl kulturowy organizacji oraz spos\u00f3b, w jaki kluczowi mened\u017cerowie zachowuj\u0105 si\u0119 w celu osi\u0105gni\u0119cia cel\u00f3w organizacji.<\/li>\n<li><strong>Personel:<\/strong>Pracownicy i ich og\u00f3lne kompetencje. Chodzi nie tylko o liczb\u0119 pracownik\u00f3w, ale o zarz\u0105dzanie talentami i spos\u00f3b wychowywania si\u0142y roboczej.<\/li>\n<li><strong>Umiej\u0119tno\u015bci:<\/strong>Rzeczywiste umiej\u0119tno\u015bci i kompetencje pracownik\u00f3w firmy. Dotyczy pytania: \u201eCo robimy najlepiej?\u201d<\/li>\n<\/ul>\n<h2>Wytyczne: Wdra\u017canie analizy McKinsey 7S<\/h2>\n<p>Korzystanie z modelu McKinsey 7S wymaga systematycznego podej\u015bcia. Niezale\u017cnie od tego, czy jeste\u015b za\u0142o\u017cycielem startupu korzystaj\u0105cym z zestawu narz\u0119dzi Business Canvas, czy strategiem korporacyjnym, post\u0119puj zgodnie z tymi wytycznymi, aby zapewni\u0107 kompleksow\u0105 analiz\u0119.<\/p>\n<h3>Krok 1: Ocena stanu obecnego<\/h3>\n<p>Zacznij od zaznaczenia, jak obecnie funkcjonuje Twoja organizacja we wszystkich siedmiu wymiarach. B\u0105d\u017a szczery i krytyczny. Czy Twoje systemy s\u0105 przestarza\u0142e? Czy Twoja struktura utrudnia realizacj\u0119 strategii?<\/p>\n<ul>\n<li><strong><a href=\"https:\/\/circle.visual-paradigm.com\/docs\/impact-analysis\/analysis-diagram\/how-to-use-analysis-diagram-to-visualize-dependencies-between-elements\/\">Przegl\u0105d zale\u017cno\u015bci wzajemnych<\/a>:<\/strong> Szukaj luk. Na przyk\u0142ad, czy Twoja <em>Struktur\u0119<\/em> (hierarchiczna) konfliktuje z Twoj\u0105 <em>Strategia<\/em> (innowacje agile)?<\/li>\n<li><strong>Zbieranie danych:<\/strong> U\u017cyj ankiet, rozm\u00f3w i obserwacji, aby oceni\u0107 \u201emi\u0119kkie\u201d elementy, takie jak styl i wsp\u00f3lne warto\u015bci.<\/li>\n<\/ul>\n<h3>Krok 2: Okre\u015blenie stanu przysz\u0142ego<\/h3>\n<p>Okre\u015bl, gdzie organizacja musi si\u0119 znale\u017a\u0107. Je\u015bli uruchamiasz nowy produkt lub wchodzisz na nowy rynek, jak musz\u0105 si\u0119 zmieni\u0107 siedem element\u00f3w, aby wspiera\u0107 to cel?<\/p>\n<h3><a href=\"https:\/\/www.visual-paradigm.com\/guide\/bpmn\/business-procses-modeling-and-gap-analysis\/\">Krok 3: Analiza luk<\/a><\/h3>\n<p>Por\u00f3wnaj sw\u00f3j obecny stan z oczekiwanym stanem przysz\u0142ym. R\u00f3\u017cnice wskazuj\u0105 na obszary wymagaj\u0105ce interwencji.<\/p>\n<h3>Krok 4: Opracowanie planu dzia\u0142ania<\/h3>\n<p>Stw\u00f3rz szlak dzia\u0142ania, aby wype\u0142ni\u0107 luki. Pami\u0119taj, \u017ce zmiana jednego elementu wp\u0142ynie na inne<a href=\"https:\/\/www.visual-paradigm.com\/features\/impact-analysis-tools\/\">wp\u0142ynie na inne<\/a>. Je\u015bli wprowadzisz nowe<em>Systemy<\/em> (np. nowy CRM), mo\u017cesz potrzebowa\u0107 uaktualni\u0107<em>Umiej\u0119tno\u015bci<\/em> (szkolenia) i dostosowa\u0107<em>Struktur\u0119<\/em> (role wsparcia IT).<\/p>\n<h2>VP AI: Jak Visual Paradigm AI poprawia analiz\u0119 strategiczn\u0105<\/h2>\n<p>Tradycyjna analiza strategiczna mo\u017ce by\u0107 czasoch\u0142onna i podatna na uprzedzenia.<a href=\"https:\/\/www.archimetric.com\/what-is-the-business-model-canvas-why-use-visual-paradigms-ai-bmc-tool\/\">Narz\u0119dzie Canvas z AI od Visual Paradigm<\/a> przekszta\u0142ca model McKinsey 7S z statycznego diagramu w dynamiczne, inteligentne \u015brodowisko pracy.<\/p>\n<p><img alt=\"\" decoding=\"async\" src=\"data:image\/png;base64,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\"\/><\/p>\n<h3>Automatyczne generowanie kanwy<\/h3>\n<p>Zaczynanie od pustej strony cz\u0119sto jest najtrudniejsz\u0105 cz\u0119\u015bci\u0105 planowania strategicznego. Za pomoc\u0105 Visual Paradigm AI mo\u017cesz wygenerowa\u0107 ca\u0142\u0105 kanw\u0119 7S na podstawie jednego polecenia. Na przyk\u0142ad, wpisuj\u0105c \u201eAnaliza McKinsey 7S dla nowoczesnej rozrywki na \u017cywo\u201d, AI natychmiast wyznacza wszystkie siedem element\u00f3w na podstawie standard\u00f3w bran\u017cowych, oszcz\u0119dzaj\u0105c godziny pocz\u0105tkowego rysowania.<\/p>\n<h3>Ideacja i wgl\u0105d wspomagane przez AI<\/h3>\n<p>Blokady kreatywno\u015bci mog\u0105 spowodowa\u0107 zatrzymanie analizy. Je\u015bli nie jeste\u015b pewien, jak zdefiniowa\u0107 \u201eWarto\u015bci wsp\u00f3lne\u201d lub zidentyfikowa\u0107 kluczowe \u201eUmiej\u0119tno\u015bci\u201d w specyficznej bran\u017cy, funkcje AI mog\u0105 pom\u00f3c. Przegl\u0105daj\u0105c kontekst organizacyjny i wzorce bran\u017cowe, AI dostarcza wykonalne sugestie na wszystkich siedmiu wymiarach, zapewniaj\u0105c kompletno\u015b\u0107 Twojego modelu.<\/p>\n<h3>G\u0142\u0119boka analiza strategiczna i rekomendacje<\/h3>\n<p><a href=\"https:\/\/www.visual-paradigm.com\/features\/visual-modeling-tool\/\">Narz\u0119dzia Visual Paradigm<\/a> id\u017a dalej poza prost\u0105 map\u0119. System mo\u017ce przeprowadzi\u0107 g\u0142\u0119bok\u0105 analiz\u0119, aby wykry\u0107 potencjalne niezgodno\u015bci i zaproponowa\u0107 rekomendacje. Mo\u017ce wskaza\u0107, \u017ce obecna <em>Personel<\/em> pojemno\u015b\u0107 jest niewystarczaj\u0105ca dla Twojej ambitnej <em>Strategia<\/em>, co pozwala Ci proaktywnie zarz\u0105dza\u0107 ryzykami.<\/p>\n<h3>Profesjonalne raportowanie<\/h3>\n<p>Po zako\u0144czeniu analizy narz\u0119dzie u\u0142atwia komunikacj\u0119. Mo\u017cesz eksportowa\u0107 swoj\u0105 kanw\u0119 i wytwarzane przez AI wgl\u0105d w profesjonalne formaty, takie jak PDF lub Word. Jest to kluczowe dla wyr\u00f3wnania interes\u00f3w stakeholder\u00f3w, zapewniaj\u0105c jasne przekazanie wgl\u0105d\u00f3w do kierownictwa wy\u017cszego szczebla.<\/p>\n<h2>Porady i sztuczki na sukces<\/h2>\n<p>Aby maksymalnie wykorzysta\u0107 model McKinsey 7S i <a href=\"https:\/\/online.visual-paradigm.com\/knowledge\/business-model-canvas\/business-model-canvas-guide-with-examples\/\">Narz\u0119dzie do kanwy biznesowej<\/a>, rozwa\u017c te praktyczne porady:<\/p>\n<ul>\n<li><strong>Zacznij od Warto\u015bci wsp\u00f3lnych:<\/strong> Poniewa\u017c znajduj\u0105 si\u0119 w centrum modelu, Warto\u015bci wsp\u00f3lne wp\u0142ywaj\u0105 na ka\u017cdy inny element. Je\u015bli s\u0105 niejasne, reszta modelu b\u0119dzie mie\u0107 trudno\u015bci z wyr\u00f3wnaniem.<\/li>\n<li><strong>Nie podwa\u017caj mi\u0119kkich S:<\/strong> \u0141atwo skupi\u0107 si\u0119 na Strategii i Strukturze, poniewa\u017c s\u0105 one materialne. Jednak wi\u0119kszo\u015b\u0107 inicjatyw zmiany ko\u0144czy si\u0119 niepowodzeniem z powodu Stylu, Personelu, Umiej\u0119tno\u015bci lub Warto\u015bci.<\/li>\n<li><strong>U\u017cywaj wielu widok\u00f3w:<\/strong> Podczas korzystania z narz\u0119dzi cyfrowych prze\u0142\u0105czaj si\u0119 mi\u0119dzy widokiem holistycznym, by zobaczy\u0107 ca\u0142o\u015b\u0107, a widokiem skupionym, by szczeg\u00f3\u0142owo przeanalizowa\u0107 konkretne sekcje (np. Systemy) bez rozpraszania.<\/li>\n<li><strong>Iteruj regularnie:<\/strong> Model 7S reprezentuje zdj\u0119cie w czasie. Gdy rynek si\u0119 zmienia (czynniki zewn\u0119trzne), Twoje wyr\u00f3wnanie wewn\u0119trzne musi ewoluowa\u0107. Traktuj to jako dokument dynamiczny, a nie jednorazow\u0105 czynno\u015b\u0107.<\/li>\n<li><strong>Wykorzystaj pe\u0142ny zestaw narz\u0119dzi:<\/strong> Model McKinsey 7S jest pot\u0119\u017cny, ale dzia\u0142a najlepiej w po\u0142\u0105czeniu z innymi narz\u0119dziami. U\u017cyj <em>Kanwy analizy SWOT<\/em> aby zrozumie\u0107 \u015brodowisko zewn\u0119trzne, zanim u\u017cyjesz 7S do wyr\u00f3wnania swoich zasob\u00f3w wewn\u0119trznych w celu pokonania tych wyzwa\u0144.<\/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;\">Zas\u00f3b<\/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);\">Co to jest kanwa modelu biznesowego? Dlaczego warto u\u017cywa\u0107 paradygmat\u00f3w wizualnych i narz\u0119dzi AI<\/a>: Ten kompleksowy przewodnik wyja\u015bnia kanw\u0119 modelu biznesowego, jej podstawowe elementy oraz jak paradygmaty wizualne i narz\u0119dzia wspomagane AI poprawiaj\u0105 planowanie strategiczne i innowacje biznesowe.<\/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);\">Budowniczy kanwy modelu biznesowego z wykorzystaniem AI \u2013 natychmiastowe projektowanie strategii<\/a>: Narz\u0119dzie sterowane przez AI, kt\u00f3re automatyzuje tworzenie szablon\u00f3w modeli biznesowych, oferuj\u0105c inteligentne sugestie i rzeczywiste wgl\u0105d, aby przyspieszy\u0107 planowanie dzia\u0142alno\u015bci.<\/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);\">Narz\u0119dzie AI Canvas \u2013 inteligentny projekt dla struktur biznesowych<\/a>: Aplikacja szablonu zasilana przez AI, kt\u00f3ra pomaga u\u017cytkownikom generowa\u0107 i doskonali\u0107 modele biznesowe, propozycje warto\u015bci oraz ramy strategii dzi\u0119ki inteligentnym sugestiom i automatyzacji.<\/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);\">Narz\u0119dzie do modelu biznesowego AI \u2013 rozw\u00f3j inteligentnej strategii<\/a>: Kompleksowe rozwi\u0105zanie zwi\u0119kszaj\u0105ce mo\u017cliwo\u015bci AI do budowania i doskonalenia modeli biznesowych z inteligentnymi wskaz\u00f3wkami, rzeczywistym feedbackiem i funkcjami wsp\u00f3\u0142pracy.<\/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);\">Aktualizacja wydania edytora AI Canvas<\/a>: Wprowadza edytor szablonu zasilany przez AI, kt\u00f3ry poprawia tworzenie diagram\u00f3w dzi\u0119ki inteligentnym sugestiom i optymalizacji automatycznej uk\u0142adu.<\/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);\">Przewodnik po narz\u0119dziu do modelu biznesowego zasilanym przez AI<\/a>: Przewodnik krok po kroku dotycz\u0105cego korzystania z narz\u0119dzia zwi\u0119kszaj\u0105cego mo\u017cliwo\u015bci AI do generowania i doskonalenia szablon\u00f3w modeli biznesowych z inteligentnym wprowadzaniem i rzeczywistymi rekomendacjami.<\/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);\">Szablon modelu misji | Narz\u0119dzie strategii zasilane przez AI od VP<\/a>: 28 pa\u017adziernika 2025 \u2013 Koordynuj sesje na \u017cywo z zespo\u0142em za pomoc\u0105 wbudowanego timera i eksportuj gotowy szablon lub raporty do profesjonalnych format\u00f3w, takich jak Word, Markdown lub CSV. \u2026 Szablon modelu misji zosta\u0142 specjalnie zaprojektowany dla organizacji po\u017cytku publicznego, instytucji rz\u0105dowych, przedsi\u0119biorstw spo\u0142ecznych oraz dowolnych organizacji, gdzie g\u0142\u00f3wnym celem jest osi\u0105gni\u0119cie misji, a nie zysk.<\/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);\">Kompletny przewodnik: zestaw narz\u0119dzi do szablonu biznesowego zasilany przez AI z Visual Paradigm<\/a>: Ta strona zawiera szczeg\u00f3\u0142owy przewodnik dotycz\u0105cego korzystania z zestawu narz\u0119dzi do szablonu modelu biznesowego zwi\u0119kszaj\u0105cego mo\u017cliwo\u015bci AI zintegrowanego z Visual Paradigm do automatycznego rozwoju strategii biznesowej.<\/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);\">Narz\u0119dzie AI Canvas \u2013 Visual Paradigm<\/a>: Narz\u0119dzie sterowane przez AI w Visual Paradigm, kt\u00f3re pozwala u\u017cytkownikom generowa\u0107 i doskonali\u0107 szablony biznesowe za pomoc\u0105 inteligentnej automatyzacji i wprowadzania tekstu naturalnego.<\/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);\">Opanowanie szablonu modelu biznesowego z AI: przewodnik krok po kroku z u\u017cyciem Visual Paradigm<\/a>: Ten wpis na blogu oferuje zorganizowany przewodnik po wykorzystaniu mo\u017cliwo\u015bci AI w Visual Paradigm do tworzenia, dostosowywania i optymalizowania szablon\u00f3w modelu biznesowego efektywnie.<\/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);\">Jak dzia\u0142a generator szablonu modelu biznesowego z AI \u2013 Visual Paradigm<\/a>: Ta strona wyja\u015bnia funkcjonalno\u015b\u0107 generatora szablonu modelu biznesowego zasilanego przez AI, podkre\u015blaj\u0105c, jak inteligencja maszynowa automatyzuje tworzenie szablon\u00f3w i generowanie strategicznych wgl\u0105d\u00f3w.<\/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);\">Szablon AI z g\u0142\u0119bokim uczeniem | Szablon szablonu analizy narz\u0119dzi strategii<\/a>: Edytuj wersj\u0119 lokaln\u0105: g\u0142\u0119bokie uczenie AI Canvas (TW) | g\u0142\u0119bokie uczenie AI Canvas (CN) Wy\u015bwietl t\u0119 stron\u0119 w: EN TW CN \u00b7 Visual Paradigm Online (VP Online) to oprogramowanie online do tworzenia diagram\u00f3w, kt\u00f3re obs\u0142uguje szablony analizy, r\u00f3\u017cne wykresy, UML, schematy blokowe, diagramy szaf, wykresy organizacyjne, drzewa genealogiczne, ERD, plany pi\u0119ter itp.<\/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);\">Szablon produktu | Narz\u0119dzie strategii zasilane przez AI od VP<\/a>: Tw\u00f3rz produkty, kt\u00f3re kochaj\u0105 ludzie. Po\u0142\u0105cz strategi\u0119, projekt i opinie w jednym przestrzeni wizualnej za pomoc\u0105 naszego szablonu produktu zasilanego przez AI, aby szybciej wprowadza\u0107 pomys\u0142y na rynek.<\/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);\">Szablon Lean UX | Narz\u0119dzie strategii zasilane przez AI od VP<\/a>: 28 pa\u017adziernika 2025 \u2013 Stw\u00f3rz kompletn\u0105 ram\u0119 strategii w chwili. Po prostu opisz swoj\u0105 wizj\u0119, a generator szablonu z AI przekszta\u0142ci j\u0105 w zorganizowany, bogaty w wgl\u0105d szablon, kt\u00f3ry pomaga Ci wizualizowa\u0107, planowa\u0107 i doskonali\u0107 sw\u00f3j nast\u0119pny du\u017cy pomys\u0142.<\/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);\">Szablon Lean \u2013 Visual Paradigm<\/a>: 28 pa\u017adziernika 2025 \u2013 Nasza aplikacja zosta\u0142a zaprojektowana, by by\u0107 waszym partnerem strategicznym, dostarczaj\u0105c inteligentne narz\u0119dzia, kt\u00f3re poprawiaj\u0105 ka\u017cdy krok procesu planowania dla szablonu modelu biznesowego. \u2026 Masz pomys\u0142 na startup? Wpisz tylko \u201eaplikacj\u0119 mobiln\u0105 do dostawy domowych da\u0144 kuchni domowej\u201d i pozw\u00f3l naszemu AI wygenerowa\u0107 kompletny szablon Lean, przedstawiaj\u0105cy problem, rozwi\u0105zanie i kluczowe metryki.<\/p>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>W z\u0142o\u017conym \u015bwiecie strategii biznesowej posiadanie genialnego planu to tylko po\u0142owa walki. Prawdziwym wyzwaniem cz\u0119sto jest realizacja i wyr\u00f3wnanie. Organizacje to systemy \u017cywe, gdzie zmiana w jednym obszarze odbija si\u0119 na innych. Aby porusza\u0107 si\u0119 po tej z\u0142o\u017cono\u015bci, liderzy opieraj\u0105 si\u0119 na solidnych ramach, aby zapewni\u0107, \u017ce ka\u017cdy element ich dzia\u0142alno\u015bci porusza si\u0119 w tym samym kierunku. Jednym z najtrwalszych i najskuteczniejszych narz\u0119dzi jest model McKinsey 7S. Ten przewodnik bada g\u0142\u0119bi\u0119 modelu McKinsey 7S, kluczowego elementu Najlepszego zestawu narz\u0119dzi do tworzenia business canvas. Przeanalizujemy jego kluczowe koncepcje, podamy krok po kroku wytyczne wdro\u017cenia oraz poka\u017cemy, jak sztuczna inteligencja (AI) mo\u017ce prze\u0142omowo zmieni\u0107 spos\u00f3b analizowania i wyr\u00f3wnywania Twojej organizacji. Kluczowe koncepcje: Dekodowanie modelu 7S Model McKinsey 7S to narz\u0119dzie strategiczne zaprojektowane do oceny skuteczno\u015bci organizacji. W przeciwie\u0144stwie do ram, kt\u00f3re skupiaj\u0105 si\u0119 wy\u0142\u0105cznie na czynnikach zewn\u0119trznych (np. PESTLE) lub pozycji konkurencyjnej (np. pi\u0119ciu si\u0142 Portera), model 7S skupia si\u0119 na wyr\u00f3wnaniu wewn\u0119trznym. Za\u0142o\u017cenie jest proste: aby organizacja dzia\u0142a\u0142a skutecznie, siedem okre\u015blonych element\u00f3w musi by\u0107 skoordynowanych i wzajemnie wzmacniaj\u0105cych si\u0119. Te siedem element\u00f3w dzieli si\u0119 na elementy \u201etwarde\u201d i \u201emi\u0119kkie\u201d. Zrozumienie tej r\u00f3\u017cnicy jest kluczowe dla skutecznej analizy. Elementy twarde S\u0105 to elementy materialne, \u0142atwiejsze do zidentyfikowania i bezpo\u015brednio wp\u0142ywaj\u0105ce na decyzje mened\u017cerskie. Strategia: Plan opracowany w celu budowania i utrzymywania przewagi konkurencyjnej wobec konkurencji. Wskazuje drog\u0119, kt\u00f3r\u0105 organizacja zamierza przej\u015b\u0107, aby osi\u0105gn\u0105\u0107 swoje cele. Struktura: Spos\u00f3b, w jaki organizacja jest zorganizowana oraz kto komu podlega. Obejmuje wykres organizacyjny i hierarchi\u0119 w\u0142adzy. Systemy: Codzienne dzia\u0142ania i procedury, w kt\u00f3rych uczestnicz\u0105 pracownicy, aby wykona\u0107 zadania. Obejmuje to wszystko \u2013 od system\u00f3w IT po procedury finansowe i przep\u0142ywy pracy w HR. Elementy mi\u0119kkie S\u0105 to elementy niematerialne, trudniejsze do opisania i kszta\u0142towane przez kultur\u0119. Jednak cz\u0119sto s\u0105 r\u00f3wnie wa\u017cne jak elementy twarde w okre\u015bleniu sukcesu. Wsp\u00f3lne warto\u015bci:J\u0105dro modelu. S\u0105 to podstawowe warto\u015bci firmy, kt\u00f3re wyra\u017caj\u0105 si\u0119 w kulturze korporacyjnej i og\u00f3lnym etosie pracy. \u0141\u0105cz\u0105 wszystkie pozosta\u0142e elementy. Styl:Styl przyj\u0119ty przez lider\u00f3w. Obejmuje styl kulturowy organizacji oraz spos\u00f3b, w jaki kluczowi mened\u017cerowie zachowuj\u0105 si\u0119 w celu osi\u0105gni\u0119cia cel\u00f3w organizacji. Personel:Pracownicy i ich og\u00f3lne kompetencje. Chodzi nie tylko o liczb\u0119 pracownik\u00f3w, ale o zarz\u0105dzanie talentami i spos\u00f3b wychowywania si\u0142y roboczej. Umiej\u0119tno\u015bci:Rzeczywiste umiej\u0119tno\u015bci i kompetencje pracownik\u00f3w firmy. Dotyczy pytania: \u201eCo robimy najlepiej?\u201d Wytyczne: Wdra\u017canie analizy McKinsey 7S Korzystanie z modelu McKinsey 7S wymaga systematycznego podej\u015bcia. Niezale\u017cnie od tego, czy jeste\u015b za\u0142o\u017cycielem startupu korzystaj\u0105cym z zestawu narz\u0119dzi Business Canvas, czy strategiem korporacyjnym, post\u0119puj zgodnie z tymi wytycznymi, aby zapewni\u0107 kompleksow\u0105 analiz\u0119. Krok 1: Ocena stanu obecnego Zacznij od zaznaczenia, jak obecnie funkcjonuje Twoja organizacja we wszystkich siedmiu wymiarach. B\u0105d\u017a szczery i krytyczny. Czy Twoje systemy s\u0105 przestarza\u0142e? Czy Twoja struktura utrudnia realizacj\u0119 strategii? Przegl\u0105d zale\u017cno\u015bci wzajemnych: Szukaj luk. Na przyk\u0142ad, czy Twoja Struktur\u0119 (hierarchiczna) konfliktuje z Twoj\u0105 Strategia (innowacje agile)? Zbieranie danych: U\u017cyj ankiet, rozm\u00f3w i obserwacji, aby oceni\u0107 \u201emi\u0119kkie\u201d elementy, takie jak styl i wsp\u00f3lne warto\u015bci. Krok 2: Okre\u015blenie stanu przysz\u0142ego Okre\u015bl, gdzie organizacja musi si\u0119 znale\u017a\u0107. Je\u015bli uruchamiasz nowy produkt lub wchodzisz na nowy rynek, jak musz\u0105 si\u0119 zmieni\u0107 siedem element\u00f3w, aby wspiera\u0107 to cel? Krok 3: Analiza luk Por\u00f3wnaj sw\u00f3j obecny stan z oczekiwanym stanem przysz\u0142ym. R\u00f3\u017cnice wskazuj\u0105 na obszary wymagaj\u0105ce interwencji. Krok 4: Opracowanie planu dzia\u0142ania Stw\u00f3rz szlak dzia\u0142ania, aby wype\u0142ni\u0107 luki. Pami\u0119taj, \u017ce zmiana jednego elementu wp\u0142ynie na innewp\u0142ynie na inne. Je\u015bli wprowadzisz noweSystemy (np. nowy CRM), mo\u017cesz potrzebowa\u0107 uaktualni\u0107Umiej\u0119tno\u015bci (szkolenia) i dostosowa\u0107Struktur\u0119 (role wsparcia IT). VP AI: Jak Visual Paradigm AI poprawia analiz\u0119 strategiczn\u0105 Tradycyjna analiza strategiczna mo\u017ce by\u0107 czasoch\u0142onna i podatna na uprzedzenia.Narz\u0119dzie Canvas z AI od Visual Paradigm przekszta\u0142ca model McKinsey 7S z statycznego diagramu w dynamiczne, inteligentne \u015brodowisko pracy. Automatyczne generowanie kanwy Zaczynanie od pustej strony cz\u0119sto jest najtrudniejsz\u0105 cz\u0119\u015bci\u0105 planowania strategicznego. Za pomoc\u0105 Visual Paradigm AI mo\u017cesz wygenerowa\u0107 ca\u0142\u0105 kanw\u0119 7S na podstawie jednego polecenia. Na przyk\u0142ad, wpisuj\u0105c \u201eAnaliza McKinsey 7S dla nowoczesnej rozrywki na \u017cywo\u201d, AI natychmiast wyznacza wszystkie siedem element\u00f3w na podstawie standard\u00f3w bran\u017cowych, oszcz\u0119dzaj\u0105c godziny pocz\u0105tkowego rysowania. Ideacja i wgl\u0105d wspomagane przez AI Blokady kreatywno\u015bci mog\u0105 spowodowa\u0107 zatrzymanie analizy. Je\u015bli nie jeste\u015b pewien, jak zdefiniowa\u0107 \u201eWarto\u015bci wsp\u00f3lne\u201d lub zidentyfikowa\u0107 kluczowe \u201eUmiej\u0119tno\u015bci\u201d w specyficznej bran\u017cy, funkcje AI mog\u0105 pom\u00f3c. Przegl\u0105daj\u0105c kontekst organizacyjny i wzorce bran\u017cowe, AI dostarcza wykonalne sugestie na wszystkich siedmiu wymiarach, zapewniaj\u0105c kompletno\u015b\u0107 Twojego modelu. G\u0142\u0119boka analiza strategiczna i rekomendacje Narz\u0119dzia Visual Paradigm id\u017a dalej poza prost\u0105 map\u0119. System mo\u017ce przeprowadzi\u0107 g\u0142\u0119bok\u0105 analiz\u0119, aby wykry\u0107 potencjalne niezgodno\u015bci i zaproponowa\u0107 rekomendacje. Mo\u017ce wskaza\u0107, \u017ce obecna Personel pojemno\u015b\u0107 jest niewystarczaj\u0105ca dla Twojej ambitnej Strategia, co pozwala Ci proaktywnie zarz\u0105dza\u0107 ryzykami. Profesjonalne raportowanie Po zako\u0144czeniu analizy narz\u0119dzie u\u0142atwia komunikacj\u0119. Mo\u017cesz eksportowa\u0107 swoj\u0105 kanw\u0119 i wytwarzane przez AI wgl\u0105d w profesjonalne formaty, takie jak PDF lub Word. Jest to kluczowe dla wyr\u00f3wnania interes\u00f3w stakeholder\u00f3w, zapewniaj\u0105c jasne przekazanie wgl\u0105d\u00f3w do kierownictwa wy\u017cszego szczebla. Porady i sztuczki na sukces Aby maksymalnie wykorzysta\u0107 model McKinsey 7S i Narz\u0119dzie do kanwy biznesowej, rozwa\u017c te praktyczne porady: Zacznij od Warto\u015bci wsp\u00f3lnych: Poniewa\u017c znajduj\u0105 si\u0119 w centrum modelu, Warto\u015bci wsp\u00f3lne wp\u0142ywaj\u0105 na ka\u017cdy inny element. Je\u015bli s\u0105 niejasne, reszta modelu b\u0119dzie mie\u0107 trudno\u015bci z wyr\u00f3wnaniem. Nie podwa\u017caj mi\u0119kkich S: \u0141atwo skupi\u0107 si\u0119 na Strategii i Strukturze, poniewa\u017c s\u0105 one materialne. Jednak wi\u0119kszo\u015b\u0107 inicjatyw zmiany ko\u0144czy si\u0119 niepowodzeniem z powodu Stylu, Personelu, Umiej\u0119tno\u015bci lub Warto\u015bci. U\u017cywaj wielu widok\u00f3w: Podczas korzystania z narz\u0119dzi cyfrowych prze\u0142\u0105czaj si\u0119 mi\u0119dzy widokiem holistycznym, by zobaczy\u0107 ca\u0142o\u015b\u0107, a widokiem skupionym, by szczeg\u00f3\u0142owo przeanalizowa\u0107 konkretne sekcje (np. Systemy) bez rozpraszania. Iteruj regularnie: Model 7S reprezentuje zdj\u0119cie w czasie. Gdy rynek si\u0119 zmienia (czynniki zewn\u0119trzne), Twoje wyr\u00f3wnanie wewn\u0119trzne musi ewoluowa\u0107. Traktuj to jako dokument dynamiczny, a nie jednorazow\u0105 czynno\u015b\u0107. Wykorzystaj pe\u0142ny zestaw narz\u0119dzi: Model McKinsey 7S jest pot\u0119\u017cny, ale dzia\u0142a najlepiej w po\u0142\u0105czeniu z innymi narz\u0119dziami. U\u017cyj Kanwy analizy SWOT aby zrozumie\u0107 \u015brodowisko zewn\u0119trzne, zanim u\u017cyjesz 7S do wyr\u00f3wnania swoich zasob\u00f3w wewn\u0119trznych w celu pokonania tych wyzwa\u0144. Zas\u00f3b Co to jest kanwa modelu biznesowego? Dlaczego warto u\u017cywa\u0107 paradygmat\u00f3w wizualnych i narz\u0119dzi AI: Ten kompleksowy przewodnik wyja\u015bnia kanw\u0119 modelu biznesowego, jej podstawowe elementy oraz jak paradygmaty wizualne i narz\u0119dzia wspomagane AI poprawiaj\u0105 planowanie strategiczne i innowacje biznesowe. Budowniczy kanwy modelu biznesowego z wykorzystaniem AI \u2013 natychmiastowe projektowanie strategii: Narz\u0119dzie sterowane przez AI, kt\u00f3re<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_title":"Ostateczny przewodnik po analizie modelu McKinsey 7S | Visual Paradigm","_yoast_wpseo_metadesc":"Opanuj zgodno\u015b\u0107 organizacyjn\u0105 za pomoc\u0105 modelu McKinsey 7S. 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