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Erfahren Sie, wie Sie OKRs schreiben, bewerten und verfolgen – und wie aktuelle, kontrollierte Daten Teams einen aktuelleren, konsistenteren Überblick über den Fortschritt der Key Results geben.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"container":{"additionalClasses":"hub-hero__authors","columnClassNames":{"content_chip":"aem-GridColumn aem-GridColumn--default--12","content_chip_4664577":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-ab10500997",":items":{"content_chip":{"id":"content-chip-6fd10e9acb","cta":{"id":"cta","showOutboundIcon":false,"linkTargetContentType":"GENERIC","linkType":"SNOWFLAKE_INTERNAL",":type":"snowflake-site/components/button","text":"Biografie lesen"},"image":{"id":"image","isLcpImage":false,"alt":"Laurie 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border-top","layout":"SIMPLE","id":"container-f576b86abf",":items":{"text_894059747":{"id":"text-86711e8d4f","additionalClasses":"seo-hub-hero__related-topic-label","text":"\u003Cp\u003EBusiness-Intelligence-Themen:\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"text":{"id":"text-daca4b9918","additionalClasses":"related-topics ","text":"\u003Cul\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/de/analytics/\"\u003EAnalytics\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/en/analytics/business-intelligence/use-cases/\"\u003EBI-Beispiele und Anwendungsfälle\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/de/analytics/business-intelligence/tools/\"\u003EBI-Tools\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/de/analytics/business-intelligence/kpi/\"\u003EKPIs\u003C/a\u003E\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small"}},":itemsOrder":["text_894059747","text"],":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container"},"isActiveTOC":false,"isBlogPage":false,":type":"snowflake-site/components/flexible-column-container","appliedCssClassNames":"snowflake-flexible-column-container-gray-10-bg"},"flexible_column_cont_663228916":{"id":"flexible-column-container-a2d0ea740b","propertiesId":"hub-body","type":"2-column-60-40","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"medium","bottomPadding":"medium","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"page-section","backgroundImageOption":"none","flexible_column_content_container_1":{"additionalClasses":"longform-content","layout":"SIMPLE","id":"hub-body-content",":items":{"callout__0":{"id":"text-578649cb30","additionalClasses":"callout callout--general","text":"\u003Cp\u003E\u003Cstrong\u003EOKR DEFINIERT\u003C/strong\u003E\u003C/p\u003E\n\u003Cp\u003EEin Objective and Key Result (OKR) ist eine Managementmethode, um eine Priorität als gewünschtes Ergebnis zu kommunizieren und die quantitativen Nachweise zu spezifizieren, die zur Bewertung des Fortschritts innerhalb eines definierten Zeitraums verwendet werden.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"text__0":{"id":"text-159385b5a0","text":"\u003Cp\u003EEin OKR sieht auf dem Papier einfach aus: Wählen Sie ein Ziel (Objective), definieren Sie einige messbare Schlüsselergebnisse (Key Results) und überprüfen Sie den Fortschritt im Laufe des Quartals. In der Praxis verlangt das Framework von Teams, mehrere folgenreiche Entscheidungen zu treffen – welche Ergebnisse Priorität verdienen, welche Nachweise den Fortschritt belegen, ob ein Ziel verbindlich oder erstrebenswert ist und wie oft es überprüft und bewertet werden soll.\u003C/p\u003E\r\n\u003Cp\u003EDie Messung von OKRs ist deutlich anspruchsvoller geworden, seit das Konzept in den 1970er Jahren aufkam. Die Key Results eines modernen Teams können von CRM-Datensätzen, von einem Datenteam gepflegten Geschäftsregeln und Metriken abhängen, die in verschiedenen \u003Ca href=\"https://www.snowflake.com/de/analytics/business-intelligence/\"\u003EBusiness Intelligence\u003C/a\u003E-Dashboards (BI) unterschiedlich definiert sind. Wenn die Messung auf aktuellen, \u003Ca href=\"https://www.snowflake.com/de/data-governance/\"\u003Ekontrollierten Daten\u003C/a\u003E basiert, erhalten Teams aktuellere Zahlen auf der Grundlage konsistenter Definitionen. In Review-Meetings kann weniger Zeit für den Abgleich von Zahlen und mehr Zeit für die Untersuchung der Zielentwicklung, der Einflussfaktoren und der nächsten Schritte aufgewendet werden.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_what-are-okrs":{"id":"title-v2-17aa3ffa54","additionalClasses":"anchor-title anchor-title--what-are-okrs","type":"heading2","lines":["Was sind OKRs?"],":type":"snowflake-site/components/title-v2"},"text_what-are-okrs_0":{"id":"text-66d09bc7f5","text":"\u003Cp\u003EObjectives and Key Results (OKRs) sind ein Framework zur Zielsetzung, das ein qualitatives Ziel mit einer kleinen Gruppe quantitativer Schlüsselergebnisse kombiniert. Das Objective gibt an, was ein Team erreichen möchte, während die Key Results die messbaren Ergebnisse spezifizieren, die den Fortschritt in Richtung des Ziels belegen würden.\u003C/p\u003E\n\u003Cp\u003EHier einige Beispiele:\u003C/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EZiel:\u003C/strong\u003E Das Onboarding für neue Kund:innen erleichtern.\u003C/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EKey Results:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003EDie Aktivierungsrate bis Ende Q4 von 40 % auf 55 % erhöhen.\u003C/li\u003E\n\u003Cli\u003EDie mediane Time-to-First-Value von sieben Tagen auf drei Tage reduzieren.\u003C/li\u003E\n\u003Cli\u003EOnboarding-bezogene Support-Tickets pro Neukund:in um 20 % reduzieren.\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003EDas OKR-Framework \u003Ca href=\"https://www.whatmatters.com/articles/the-origin-story\" target=\"_blank\"\u003Eentstand aus der Arbeit\u003C/a\u003E des Intel-Führungskräfte Andy Grove, der den Managementansatz entwickelte, aus dem sich moderne OKRs entwickelten. John Doerr lernte das System bei Intel kennen und führte es später bei Google ein, was dazu beitrug, OKRs durch \u003Ca href=\"https://www.goodreads.com/en/book/show/39286958-measure-what-matters\" target=\"_blank\"\u003E\u003Cem\u003EMeasure What Matters\u003C/em\u003E\u003C/a\u003E breiter bekannt zu machen.\u003C/p\u003E\n\u003Cp\u003EDoerr beschreibt fünf Vorteile einer effektiven OKR-Praxis durch das Akronym F.A.C.T.S.: Focus, Alignment, Commitment, Tracking und Stretching. Fokus beschränkt die Aufmerksamkeit auf eine kleine Anzahl von Prioritäten; Ausrichtung verbindet Ziele im gesamten Unternehmen; Engagement etabliert gemeinsame Verantwortung; Tracking hält den Fortschritt während des gesamten Zyklus sichtbar; und Stretching fördert ehrgeizige Ziele.\u003C/p\u003E\n\u003Cp\u003EUnternehmen legen OKRs in der Regel in einem wiederkehrenden Rhythmus fest, oft vierteljährlich, und überprüfen und bewerten sie dann während oder am Ende des Zyklus. Dieser Rhythmus unterscheidet OKRs von einer statischen Aufgabenliste: Das Framework bietet einen kontinuierlichen Bezugspunkt für die Entscheidung, wo die Arbeit das beabsichtigte Ergebnis liefert und wo sie hinter den Erwartungen zurückbleibt.\u003C/p\u003E\n\u003Cp\u003E\u003Cem\u003EErfahren Sie, wie Thomson Reuters Cortex Analyst nutzt, um KI-gestützte Analysen von Unternehmensdaten zu erstellen:\u003C/em\u003E\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"yt_what-are-okrs_0":{"id":"embed-b777bbedc6","youtubeVideoId":"8KIHr7d2sg8","layout":"responsive","youtubeAspectRatio":"56.25","youtubeAutoPlay":false,"youtubeLoop":false,"youtubeMute":false,"youtubePlaysInline":false,"youtubeRel":false,"isLcpImage":false,"embeddableResourceType":"core/wcm/components/embed/v1/embed/embeddable/youtube","type":"EMBEDDABLE",":type":"snowflake-site/components/youtube"},"title_the-anatomy-of-an-okr-objectives-and-key-results":{"id":"title-v2-d5bf608292","additionalClasses":"anchor-title anchor-title--the-anatomy-of-an-okr-objectives-and-key-results","type":"heading2","lines":["Die Anatomie eines OKRs: Objectives und Key Results"],":type":"snowflake-site/components/title-v2"},"text_the-anatomy-of-an-okr-objectives-and-key-results_0":{"id":"text-a8daf99a3a","text":"\u003Cp\u003EDie beiden Komponenten eines OKRs erfüllen unterschiedliche Aufgaben. Ein Objective ist eine qualitative Absichtserklärung. Es sollte dem Team eine klare Richtung vorgeben und gleichzeitig Raum für verschiedene Wege zur Zielerreichung lassen. „Ein reibungsloseres Onboarding-Erlebnis bieten“ beschreibt beispielsweise das vom Team gewünschte Ergebnis, ohne ein bestimmtes Feature, eine bestimmte Kampagne oder einen bestimmten Workflow vorzuschreiben.\u003C/p\u003E\n\u003Cp\u003EEin Key Result übersetzt diese Richtung in messbare Nachweise. Betrachten Sie dieses Key Result, das ein reibungsloseres Onboarding-Erlebnis belegen würde: „Die mediane Time-to-First-Value bis Ende Q4 von sieben Tagen auf drei Tage reduzieren.“ Die Metrik ist die mediane Time-to-First-Value. Sieben Tage sind die Baseline, drei Tage sind das Ziel und das Ende von Q4 bildet die zeitliche Begrenzung.\u003C/p\u003E\n\u003Cp\u003EDiese Struktur hilft auch dabei, Ergebnisse (Outcomes) von Outputs zu trennen. „Fünf Onboarding-Verbesserungen ausliefern“ erfasst die Aktivität. „Die Time-to-First-Value von sieben Tagen auf drei Tage reduzieren“ misst das Ergebnis, das die Arbeit erzielen soll.\u003C/p\u003E\n\u003Cp\u003EJedes Key Result benennt ein messbares Ergebnis, was bedeutet, dass sich jedes auch auf eine Metrikdefinition und eine Datenquelle stützt. Das Framework legt fest, was das Team messen möchte, aber die Daten hinter der Metrik bestimmen, wie zuverlässig das Team sie misst.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"card_v2_the-anatomy-of-an-okr-objectives-and-key-results_0":{"id":"card-v2-d29b8e7fba","additionalClasses":"seo-customer","configurationStatus":{"configured":true,"message":""},"button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/customers/all-customers/video/urban-company/"},"linkTargetContentType":"GENERIC","linkType":"SNOWFLAKE_INTERNAL",":type":"snowflake-site/components/button","text":"Customer Story ansehen"},"title":{"id":"title","type":"heading4","lines":["Customer Story: Urban Company"],":type":"snowflake-site/components/title-v2"},"image":{"id":"image","isLcpImage":false,"alt":"Urban Company logo","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--df82bfae-0f7a-4d22-b5c3-5636761bb8d7/ubran-company.png?preferwebp=true&quality=85","lazyEnabled":true,"height":"351","width":"624",":type":"snowflake-site/components/image"},"type":"content-card","text":{"id":"text","text":"\u003Cp\u003EUrban Company nutzt Snowflake, um Daten aus Kundeninteraktionen, Servicebereitstellung und Partner-Abläufen zu vereinheitlichen, sodass Teams North-Star-Metriken wie Partner-Verfügbarkeit, Nachfrageverlust, NPS und Partner-Einnahmen in Echtzeit überwachen können. Diese Datengrundlage unterstützt auch KI-Anwendungen, darunter GenAI-gestützte Voicebots für das Partner-Onboarding, automatisierte Qualitätsprüfungen und Text-to-SQL-Agenten, die mit Snowflake Cortex AI erstellt wurden.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text"},"layoutStyle":"horizontal",":type":"snowflake-site/components/card-v2"},"title_types-of-okrs-committed-vs-aspirational":{"id":"title-v2-f35eceb9ff","additionalClasses":"anchor-title anchor-title--types-of-okrs-committed-vs-aspirational","type":"heading2","lines":["Arten von OKRs: verbindlich vs. ehrgeizig"],":type":"snowflake-site/components/title-v2"},"text_types-of-okrs-committed-vs-aspirational_0":{"id":"text-3d6d1648fe","text":"\u003Cp\u003EUnternehmen unterscheiden oft zwischen verbindlichen und erstrebenswerten OKRs, eine Praxis, die insbesondere mit der Implementierung des Frameworks durch Google in Verbindung gebracht wird.\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cstrong\u003EEin verbindliches OKR\u003C/strong\u003E stellt ein Ergebnis dar, das das Team voraussichtlich innerhalb des Zyklus liefern wird. Ressourcen und Prioritäten sollten diese Erwartung widerspiegeln, und das Ziel wird im Allgemeinen als 100%ige Verpflichtung behandelt.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003EEin ehrgeiziges OKR\u003C/strong\u003E greift bewusst weiter. Diese Stretch-Ziele bergen mehr Unsicherheit, und eine teilweise Erreichung kann dennoch einen erheblichen Fortschritt darstellen. \u003Ca href=\"https://www.whatmatters.com/resources/google-okr-playbook\" target=\"_blank\"\u003EGoogles Bewertungsansatz\u003C/a\u003E behandelt beispielsweise 0,7 bis 1,0 als grünen Bereich für ehrgeizige OKRs, während von verbindlichen OKRs erwartet wird, dass sie 1,0 erreichen.\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003EDie Kennzeichnung des Typs zu Beginn des Zyklus gibt der späteren Bewertung einen nützlichen Kontext. Eine 0,7 bei einem sehr ehrgeizigen Expansionsziel und eine 0,7 bei einem erforderlichen regulatorischen Meilenstein stellen sehr unterschiedliche Ergebnisse dar.\u003C/p\u003E\n\u003Cp\u003EEinige Unternehmen trennen auch strategische OKRs, die übergeordnete oder längerfristige Prioritäten ausdrücken, von operativen oder Team-OKRs, die diese unterstützen. Unabhängig davon, welche Terminologie ein Unternehmen anwendet, sollte die Hierarchie zeigen, wie die messbaren Ergebnisse eines Teams mit umfassenderen Prioritäten zusammenhängen.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_okrs-vs-kpis-how-they-relate":{"id":"title-v2-af848b2476","additionalClasses":"anchor-title anchor-title--okrs-vs-kpis-how-they-relate","type":"heading2","lines":["OKRs vs. KPIs: Wie sie zusammenhängen"],":type":"snowflake-site/components/title-v2"},"text_okrs-vs-kpis-how-they-relate_0":{"id":"text-e02927e3af","text":"\u003Cp\u003EOKRs und Key Performance Indicators (\u003Ca href=\"https://www.snowflake.com/de/analytics/business-intelligence/kpi/\"\u003EKPIs\u003C/a\u003E) sind eng miteinander verwandt, was einen Großteil der Verwirrung zwischen ihnen erklärt.\u003C/p\u003E\r\n\u003Cp\u003EEin KPI ist ein fortlaufendes Maß für die Performance. Monatliche Abwanderung, Bruttomarge, Betriebszeit, Prognosegenauigkeit und Konversionsrate können Quartal für Quartal auf einem Dashboard verbleiben, da das Unternehmen deren Zustand kontinuierlich überwachen möchte.\u003C/p\u003E\r\n\u003Cp\u003EEin OKR spezifiziert ein Ziel mit Schlüsselergebnissen, die das Unternehmen in einem definierten Zeitraum erzielen möchte.\u003C/p\u003E\r\n\u003Cp\u003ENehmen wir die Kundenabwanderung:\u003C/p\u003E\r\n\u003Cp\u003EEin KPI für die monatliche Kundenabwanderung könnte 5 % betragen. Ein OKR-Key-Result könnte dieselbe Metrik auf diese Weise enthalten: Die monatliche Kundenabwanderung bis Ende Q2 von 5 % auf 3 % reduzieren.\u003C/p\u003E\r\n\u003Cp\u003EDer KPI liefert die Messung. Das Key Result fügt eine Baseline, ein Ziel und eine Frist hinzu, die die beabsichtigte Änderung beschreiben.\u003C/p\u003E\r\n\u003Cp\u003EViele Key Results verwenden daher bestehende KPIs, obwohl diese Beziehung nicht zwingend erforderlich ist. Ein Team könnte eine neue Metrik für eine Initiative erstellen, die noch nie zuvor gemessen wurde. In jedem Fall benötigt das Key Result eine vereinbarte Berechnungsmethode und eine zuverlässige Quelle für die zugrunde liegenden Daten.\u003C/p\u003E\r\n\u003Cp\u003EKPIs können auch als Leitplanken für ein OKR dienen. Ein Produktteam, das eine schnelle Akzeptanz anstrebt, könnte beispielsweise das Supportvolumen oder die Kundenzufriedenheit neben seinem Wachstumsziel verfolgen, damit der Fortschritt bei einer Metrik nicht die Verschlechterung bei einer anderen verbirgt.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_best-practices-for-writing-good-okrs":{"id":"title-v2-a159a0431a","additionalClasses":"anchor-title anchor-title--best-practices-for-writing-good-okrs","type":"heading2","lines":["Best Practices für das Verfassen guter OKRs"],":type":"snowflake-site/components/title-v2"},"text_best-practices-for-writing-good-okrs_0":{"id":"text-1dd520662d","text":"\u003Cp\u003EEin gutes OKR engt den Fokus ein. Wenn ein Team mit 15 Zielen, Dutzenden von Key Results und ohne klare Priorisierung in ein Quartal startet, wird das Framework nicht effektiv genutzt. Das Verfassen nützlicher OKRs beginnt mit den folgenden Best Practices.\u003C/p\u003E\n\u003Ch3\u003EFormulieren Sie Ziele anhand von Ergebnissen\u003C/h3\u003E\n\u003Cp\u003EEin Ziel sollte ein Ergebnis beschreiben, das das Team erreichen möchte. „Drei Akquisitionskampagnen durchführen” beschreibt geplante Arbeit. „Qualifizierte Nachfrage von Zielkunden steigern” gibt dem Team ein Ergebnis vor, zu dem verschiedene Arten von Arbeit beitragen können. Das Ziel benötigt keine Metrik, da die Key Results des Ziels diese liefern.\u003C/p\u003E\n\u003Ch3\u003EGeben Sie jedem Key Result eine Baseline und ein Ziel\u003C/h3\u003E\n\u003Cp\u003EBaselines zeigen auch das Ausmaß der geplanten Veränderung. Die Aktivierung auf 60 % zu erhöhen, bedeutet etwas ganz anderes, wenn die aktuelle Rate bei 58 % liegt im Vergleich zu 35 %.\u003C/p\u003E\n\u003Cp\u003EKey Results sollten auch spezifische Ziele haben. „Prognosegenauigkeit verbessern” lässt zu vieles offen. „Vierteljährliche Prognosegenauigkeit bis Ende Q4 von 72 % auf 85 % erhöhen” legt sowohl die Ausgangsposition als auch das erwartete Ergebnis fest.\u003C/p\u003E\n\u003Ch3\u003EWeisen Sie eine:n namentlich genannte:n Verantwortliche:n zu\u003C/h3\u003E\n\u003Cp\u003EEin Key Result hängt oft von der Arbeit mehrerer Personen ab, aber die Verantwortung für die Nachverfolgung sollte klar bleiben. Diese Person hält die Messung sichtbar und stellt sicher, dass Änderungen Beachtung finden.\u003C/p\u003E\n\u003Ch3\u003EUnterziehen Sie die Messung einem Stresstest\u003C/h3\u003E\n\u003Cp\u003EBevor Sie sich auf ein Key Result festlegen, fragen Sie sich, wie dessen aktueller Wert während des Zyklus berechnet wird. Woher stammen die Daten? Wie oft werden sie aktualisiert? Wer ist für die Definition der Metrik verantwortlich? Bezieht sich dieselbe Bezeichnung über Dashboards und Teams hinweg auf dieselbe Berechnung?\u003C/p\u003E\n\u003Cp\u003EEin Key Result, das eine neue Mess-Pipeline erfordert, ist nicht zwangsläufig ein schlechtes Key Result. Das Team muss diese Arbeit lediglich auf sein Konto nehmen, bevor der Zyklus beginnt.\u003C/p\u003E\n\u003Cp\u003EDerselbe Test deckt Key Results auf, die überhaupt schwer zu bewerten sind. „Markenvertrauen verbessern” erfordert beispielsweise einen definierten Messansatz, bevor das Team bestimmen kann, wie Fortschritt aussieht.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"callout_best-practices-for-writing-good-okrs_0":{"id":"text-877037ec4c","additionalClasses":"callout callout--tip","text":"\u003Cp\u003E\u003Cstrong\u003EKURZER TIPP\u003C/strong\u003E\u003C/p\u003E\n\u003Cp\u003EBevor Sie ein Key Result finalisieren, identifizieren Sie die Metrik, Baseline, das Ziel und die Datenquelle, die Sie zur Messung verwenden werden. Dies während der Planung zu tun, deckt oft mehrdeutige Definitionen oder Messlücken auf, bevor sie den OKR-Zyklus stören.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"title_okr-examples-by-team":{"id":"title-v2-030f6f0177","additionalClasses":"anchor-title anchor-title--okr-examples-by-team","type":"heading2","lines":["OKR-Beispiele nach Team"],":type":"snowflake-site/components/title-v2"},"text_okr-examples-by-team_0":{"id":"text-2a3eb7494f","text":"\u003Cp\u003EOKRs nehmen im gesamten Unternehmen unterschiedliche Formen an, da jedes Team unterschiedliche Geschäftsergebnisse beeinflusst. Die Metriken können von Aktivierung und Kundenbindung bis hin zu Pipeline und Prognosegenauigkeit reichen, aber jedes Key Result sollte dem Team eine messbare Möglichkeit geben, seine Arbeit mit einem übergeordneten Ziel zu verknüpfen.\u003C/p\u003E\n\u003Ch3\u003EFührung\u003C/h3\u003E\n\u003Cp\u003E\u003Cstrong\u003EZiel:\u003C/strong\u003E Die vertrauenswürdigste Marke der Kategorie werden.\u003C/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EMögliche Key Results:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003ENet Promoter Score von X auf Y erhöhen\u003C/li\u003E\n\u003Cli\u003EWettbewerbs-Gewinnrate von X % auf Y % steigern\u003C/li\u003E\n\u003Cli\u003EKundenbindung von X % auf Y % erhöhen\u003C/li\u003E\n\u003C/ul\u003E\n\u003Ch3\u003EProdukt\u003C/h3\u003E\n\u003Cp\u003E\u003Cstrong\u003EZiel:\u003C/strong\u003E Das Onboarding für neue Kund:innen erleichtern.\u003C/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EMögliche Key Results:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003EAktivierungsrate von X % auf Y % erhöhen\u003C/li\u003E\n\u003Cli\u003EMediane Zeit bis zum ersten Mehrwert von X Tagen auf Y Tage reduzieren\u003C/li\u003E\n\u003Cli\u003EOnboarding-Support-Tickets pro neuer Kund:in von X auf Y reduzieren\u003C/li\u003E\n\u003C/ul\u003E\n\u003Ch3\u003EMarketing\u003C/h3\u003E\n\u003Cp\u003E\u003Cstrong\u003EZiel:\u003C/strong\u003E Eine vorhersehbarere Demand Engine aufbauen.\u003C/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EMögliche Key Results:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003EQualifizierte Pipeline von X USD auf Y USD erhöhen\u003C/li\u003E\n\u003Cli\u003EOpportunity-Konvertierung von X % auf Y % steigern\u003C/li\u003E\n\u003Cli\u003EKosten pro Opportunity von X USD auf Y USD reduzieren\u003C/li\u003E\n\u003C/ul\u003E\n\u003Ch3\u003ESales und Revenue Operations\u003C/h3\u003E\n\u003Cp\u003E\u003Cstrong\u003EZiel:\u003C/strong\u003E Vertrauen in die Umsatzprognose verbessern.\u003C/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EMögliche Key Results:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003EPrognosegenauigkeit von X % auf Y % erhöhen\u003C/li\u003E\n\u003Cli\u003EMediane Länge des Verkaufszyklus von X Tagen auf Y Tage reduzieren\u003C/li\u003E\n\u003Cli\u003EPipeline-Abdeckung von X auf Y erhöhen\u003C/li\u003E\n\u003C/ul\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_how-to-score-and-grade-okrs":{"id":"title-v2-db92721344","additionalClasses":"anchor-title anchor-title--how-to-score-and-grade-okrs","type":"heading2","lines":["So bewerten und benoten Sie OKRs"],":type":"snowflake-site/components/title-v2"},"text_how-to-score-and-grade-okrs_0":{"id":"text-4eb9cf9e7e","text":"\u003Cp\u003EViele OKR-Programme bewerten einzelne Key Results auf einer Skala von 0,0 bis 1,0 und verwenden diese Ergebnisse dann, um das Ziel als Ganzes zu beurteilen.\u003C/p\u003E\n\u003Cp\u003EAngenommen, ein Key Result zielt darauf ab, die Aktivierung von 40 % auf 55 % zu erhöhen. Wenn die Aktivierung den Zyklus bei 50 % beendet, übersetzt die Bewertungsmethode diesen Fortschritt in ein standardisiertes Ergebnis, sodass Teams verschiedene KRs konsistent überprüfen können.\u003C/p\u003E\n\u003Cp\u003EDie Interpretation hängt teilweise von der Art des OKRs ab. Der Ansatz von Google ordnet ehrgeizige Bewertungen von 0,7 bis 1,0 in den grünen Bereich ein, während von verbindlichen OKRs erwartet wird, dass sie 1,0 erreichen. Das konsequente Erreichen von 100 % bei sehr ehrgeizigen Zielen könnte auch darauf hindeuten, dass die Ziele das Team nicht sehr fordern.\u003C/p\u003E\n\u003Cp\u003EDie Bewertung ist nur ein Teil der Überprüfung am Ende des Zyklus, bei der auch betrachtet werden sollte, was zum Ergebnis beigetragen hat, welche Annahmen sich bestätigt haben und was sich im nächsten Zyklus ändern sollte.\u003C/p\u003E\n\u003Cp\u003EBeispielsweise könnte ein Team, das 0,6 erreicht hat, auf eine falsche Annahme, eine externe Abhängigkeit oder eine Verschiebung der Geschäftsprioritäten gestoßen sein. Ein anderes Team mit derselben Bewertung hat möglicherweise spät begonnen oder zugelassen, dass das KR aus der täglichen Arbeit herausfällt. Die Bewertung allein kann zwischen diesen Umständen nicht unterscheiden.\u003C/p\u003E\n\u003Cp\u003ESchließlich hängt die Qualität der Bewertung von der Qualität der zugrunde liegenden Messung ab. Eine sorgfältig gestaltete Skala von 0,0 bis 1,0 ist von geringem Wert, wenn der Quellmetrik nicht vertraut werden kann, weil sie veraltet ist oder widersprüchlich definiert wurde.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"callout_how-to-score-and-grade-okrs_0":{"id":"text-1fd7d154e3","additionalClasses":"callout callout--warning","text":"\u003Cp\u003E\u003Cstrong\u003EHÄUFIGER FALLSTRICK\u003C/strong\u003E\u003C/p\u003E\n\u003Cp\u003EDie direkte Verknüpfung von OKR-Bewertungen mit der individuellen Vergütung schafft widersprüchliche Anreize, insbesondere bei ehrgeizigen Zielen. Wenn ein:e Mitarbeiter:in erwartet, dass eine niedrigere Bewertung eines Stretch-Ziels die Vergütung verringert, ist die rationale Reaktion, sicherere Ziele zu wählen. Das Framework verliert dann einen Teil seiner Nützlichkeit als Mittel, um ehrgeizige Ergebnisse zu verfolgen und aus Fehlern zu lernen.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"title_the-okr-cycle-setting-check-ins-and-retrospectives":{"id":"title-v2-50af274a71","additionalClasses":"anchor-title anchor-title--the-okr-cycle-setting-check-ins-and-retrospectives","type":"heading2","lines":["Der OKR-Zyklus: Festlegung, Check-ins und Retrospektiven"],":type":"snowflake-site/components/title-v2"},"text_the-okr-cycle-setting-check-ins-and-retrospectives_0":{"id":"text-7e9408eb3f","text":"\u003Cp\u003EOKRs sind so konzipiert, dass sie als wiederkehrender Management-Rhythmus funktionieren. Die Planung legt das Ziel fest, Check-ins decken Änderungen frühzeitig auf und die Retrospektive macht das Endergebnis zum Input für den nächsten Zyklus.\u003C/p\u003E\n\u003Ch3\u003ELegen Sie die OKRs fest\u003C/h3\u003E\n\u003Cp\u003EEin typischer vierteljährlicher Zyklus beginnt mit dem Entwerfen und Abstimmen von Zielen, dem Festlegen von Key Results und der Benennung von Verantwortlichen. In dieser Phase sollten Teams bestätigen, dass jedes Key Result eine klare Baseline, ein klares Ziel und eine klare Messquelle hat, da ungelöste Definitionen tendenziell später bei Check-ins auftauchen.\u003C/p\u003E\n\u003Ch3\u003EÜberprüfen Sie den Fortschritt regelmäßig\u003C/h3\u003E\n\u003Cp\u003EWährend des Quartals überprüfen Teams den Fortschritt wöchentlich oder zweiwöchentlich, identifizieren KRs, die abrutschen, und passen die Arbeit entsprechend an. Häufige Check-ins geben Teams die Möglichkeit zu reagieren, solange noch Zeit ist, das Ergebnis zu beeinflussen. Anstatt bis zum Ende des Quartals zu warten, um festzustellen, dass ein Key Result nicht erreicht wurde, können Teams untersuchen, was Änderungen an einer Metrik antreibt, und ihre Arbeit entsprechend anpassen.\u003C/p\u003E\n\u003Cp\u003EEin nützlicher Check-in beginnt mit dem aktuellen Wert jedes Key Results und fragt dann, was sich geändert hat, was weitere Fortschritte blockiert und welche Maßnahmen vor der nächsten Überprüfung Beachtung verdienen.\u003C/p\u003E\n\u003Cp\u003EWenn der erste Teil jedes Meetings dafür verwendet wird, Tabellenkalkulations-Updates zu sammeln oder widersprüchliche Zahlen abzugleichen, bringt der Rhythmus unnötigen administrativen Aufwand mit sich. Wenn zum Zeitpunkt des Meetings aktuelle Messungen vorliegen, kann die Diskussion schneller zur Entwicklung des Ziels und den nächsten Schritten übergehen.\u003C/p\u003E\n\u003Ch3\u003EBewerten und führen Sie eine Retrospektive durch\u003C/h3\u003E\n\u003Cp\u003EAm Ende des Zyklus bewerten Teams die Ergebnisse und überprüfen, was sie geprägt hat. Die Bewertung zeigt, wie viel Fortschritt das Team in Richtung des Ziels gemacht hat, während die Retrospektive betrachtet, was zum Ergebnis beigetragen hat, welche Annahmen sich bestätigt haben und was sich im nächsten Zyklus ändern sollte. Diese Überprüfung sollte direkt in die nächste Planungsrunde einfließen.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_common-okr-mistakes-and-how-to-avoid-them":{"id":"title-v2-37afe1ee87","additionalClasses":"anchor-title anchor-title--common-okr-mistakes-and-how-to-avoid-them","type":"heading2","lines":["Häufige OKR-Fehler und wie man sie vermeidet"],":type":"snowflake-site/components/title-v2"},"text_common-okr-mistakes-and-how-to-avoid-them_0":{"id":"text-a8724ec406","text":"\u003Cp\u003EDie meisten OKR-Probleme fallen in einige wenige wiederkehrende Muster, von denen einige erst nach Beginn der Ausführung auftreten.\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cstrong\u003EZu viele OKRs:\u003C/strong\u003E Eine lange Liste schwächt die Priorisierung, die das Framework eigentlich schaffen soll. Halten Sie die aktive Auswahl so klein, dass jedes Objective während des gesamten Zyklus Beachtung findet.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003EOutputs, die als Outcomes formuliert sind:\u003C/strong\u003E „Ein neues Feature einführen” erfasst den Abschluss einer Arbeit. Ein KR wie „Die wöchentliche Akzeptanz des Workflows von 22 % auf 35 % steigern” misst, was passiert ist, nachdem das Feature die Nutzer:innen erreicht hat.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003ESchwache Abstimmung:\u003C/strong\u003E Team-OKRs sollten sichtbar mit den Unternehmensprioritäten verknüpft sein, anstatt als unabhängige Planungsebene zu fungieren.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003EPlanung nach dem „Set-and-Forget”-Prinzip:\u003C/strong\u003E Quartalsziele verlieren an operativer Relevanz, wenn Teams sie nur während der Planung und beim Abschluss überprüfen. Regelmäßige Check-ins halten die Metrik im Entscheidungszyklus.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003EZiele, die von der täglichen Arbeit losgelöst sind:\u003C/strong\u003E Ein Team muss in der Lage sein, seine Key Results durch die Entscheidungen, die es während des Quartals trifft, zu beeinflussen. Andernfalls fungiert die Metrik in erster Linie als Beobachtung.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003EManipulation der Bewertung:\u003C/strong\u003E Die Erreichung von OKRs als direkten Indikator für die Performance von Mitarbeiter:innen zu betrachten, fördert sicherere Ziele und erschwert die Verwendung von ehrgeizigen OKRs.\u003C/li\u003E\n\u003Cli\u003E\u003Cstrong\u003ENicht vertrauenswürdige Messung:\u003C/strong\u003E Eine manuell kopierte oder veraltete Zahl oder eine umstrittene Definition verschwendet Zeit bei Abstimmungsaufgaben. Dieses Problem wird leicht als Problem mit OKR-Tools abgetan, beginnt aber oft weiter unten im Stack bei Metrikdefinitionen, Datenquellen und Governance.\u003C/li\u003E\n\u003C/ul\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_tracking-key-results-on-live-governed-data":{"id":"title-v2-4bf16788a7","additionalClasses":"anchor-title anchor-title--tracking-key-results-on-live-governed-data","type":"heading2","lines":["Verfolgung von Key Results anhand von Live-Daten und kontrollierten Daten"],":type":"snowflake-site/components/title-v2"},"text_tracking-key-results-on-live-governed-data_0":{"id":"text-0c2e2afe38","text":"\u003Cp\u003ETabellenkalkulationen und spezielle OKR-Tools reichen oft aus, um Objectives, Verantwortliche und Bewertungen zu erfassen. Die Herausforderung besteht darin, die Messung hinter jedem Key Result aktuell und konsistent zu halten, insbesondere wenn diese Messung von Daten aus mehreren Systemen abhängt.\u003C/p\u003E\n\u003Cp\u003EStellen Sie sich ein KR vor, das die Konversion der qualifizierten Pipeline von 18 % auf 24 % erhöhen soll. Die Teams müssen sich darüber einig sein, welche Opportunities sich qualifizieren, welcher Phasenübergang als Konversion zählt, wie wiedereröffnete Opportunities behandelt werden und welche Daten die Aufnahme in den Berichtszeitraum bestimmen. Wenn diese Regeln separat in einem CRM-Bericht, einem BI-Dashboard und einer Abfrage durch eine:n Analyst:in implementiert werden, liefert jedes System möglicherweise ein anderes Ergebnis, obwohl dasselbe KR gemessen wird.\u003C/p\u003E\n\u003Cp\u003EDas Kopieren eines Werts in eine Tabellenkalkulation bringt ein weiteres Problem mit sich: Die erfasste Bewertung spiegelt die Metrik zu dem Zeitpunkt wider, als sie eingegeben wurde, und nicht ihren aktuellen Wert.\u003C/p\u003E\n\u003Cp\u003EDie Verknüpfung eines Key Results mit Live-Daten und kontrollierten Daten löst beide Probleme. Die zugrunde liegenden Daten werden gemäß den Anforderungen des Unternehmens verwaltet und aktualisiert, während eine gemeinsame Geschäftslogik festlegt, wie die Metrik berechnet wird. Die OKR-Ansicht kann dann auf diese Messung verweisen, anstatt eine separate Kopie zu pflegen.\u003C/p\u003E\n\u003Cp\u003EDer Ablauf sieht in etwa so aus:\u003C/p\u003E\n\u003Cp\u003E\u003Cb\u003EQuelldaten → Integration und Transformation → kontrollierte Metrikdefinition → aktueller Metrikwert → OKR-Tracking und -Analyse\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003E„Live” bedeutet nicht zwangsläufig Echtzeit. Ein KR für den Quartalsumsatz erfordert möglicherweise tägliche Updates, während eine operative Metrik viel geringere Latenzanforderungen hat. Entscheidend ist, dass die Messung mit ihrer verwalteten Quelle verbunden bleibt und in einem Rhythmus aktualisiert wird, der den Entscheidungen entspricht, die das Team treffen muss.\u003C/p\u003E\n\u003Cp\u003EGovernance wendet konsistente Metrikdefinitionen, Verantwortlichkeiten, Lineage und angemessene Berechtigungen an, um Teams dabei zu helfen, zu verstehen, was eine Zahl darstellt, woher sie stammt und ob sie sie für ein bestimmtes Key Result verwenden sollten.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_whats-next-ai-assisted-and-agentic-okrs":{"id":"title-v2-1b4bda2c42","additionalClasses":"anchor-title anchor-title--whats-next-ai-assisted-and-agentic-okrs","type":"heading2","lines":["Der nächste Schritt: KI-gestützte und agentenbasierte OKRs"],":type":"snowflake-site/components/title-v2"},"text_whats-next-ai-assisted-and-agentic-okrs_0":{"id":"text-9d719fe682","text":"\u003Cp\u003EKI beginnt, verschiedene Bereiche des Zielmanagements zu beeinflussen, einschließlich der Arbeit, die das Entwerfen, Überwachen und Zusammenfassen von OKRs umfasst.\u003C/p\u003E\r\n\u003Ch3\u003EOKRs während der Planung verbessern\u003C/h3\u003E\r\n\u003Cp\u003EWährend der Zielsetzung können KI-gestützte Tools Entwürfe für Objectives und Key Results auf strukturelle Probleme wie vage Formulierungen, fehlende Baselines, unrealistische Ziele oder als Outcomes präsentierte Aktivitäten überprüfen.\u003C/p\u003E\r\n\u003Cp\u003EDiese Art der Überprüfung ist am nützlichsten als Qualitätskontrolle und nicht als Ersatz für strategisches Urteilsvermögen. Ein \u003Ca href=\"https://www.snowflake.com/en/artificial-intelligence/\"\u003EKI-System\u003C/a\u003E könnte beispielsweise darauf hinweisen, dass „drei Onboarding-Verbesserungen einführen” einen Output beschreibt, während das Team noch entscheiden muss, welches Kunden-Outcome diesen ersetzen soll und welches Maß an Verbesserung realistisch ist.\u003C/p\u003E\r\n\u003Ch3\u003EFortschritt während des Zyklus überwachen\u003C/h3\u003E\r\n\u003Cp\u003ESobald das Quartal läuft, hat KI eine andere Rolle: Sie hilft Teams dabei, Änderungen zu erkennen, die Beachtung verdienen. Wenn Key Results mit aktuellen Metriken verknüpft sind, kann ein analytisches oder \u003Ca href=\"https://www.snowflake.com/de/artificial-intelligence/agents/\"\u003Eagentenbasiertes System\u003C/a\u003E den Fortschritt mit dem Ziel vergleichen, eine unerwartete Verschiebung aufzeigen und unterstützende Informationen darüber sammeln, was sich geändert hat. Ein Vertriebs-KR, das ins Hintertreffen gerät, könnte beispielsweise vor der nächsten geplanten Überprüfung eine Analyse nach Region, Segment oder Pipeline-Phase auslösen.\u003C/p\u003E\r\n\u003Cp\u003EDadurch wird ein Teil der Überwachungsarbeit aus der manuellen Statusvorbereitung ausgelagert. Anstatt darauf zu warten, dass jemand ein Problem in einer Tabellenkalkulation bemerkt, erhalten Teams frühzeitigere Signale, die eine Untersuchung rechtfertigen.\u003C/p\u003E\r\n\u003Ch3\u003EVorbereitung auf Reviews und Retrospektiven\u003C/h3\u003E\r\n\u003Cp\u003EZum Zeitpunkt der Überprüfung kann eine KI-gestützte Analyse dabei helfen, den Kontext hinter einer Bewertung zusammenzustellen. Ein System könnte zusammenfassen, wie sich eine Metrik im Laufe des Quartals verändert hat, Phasen der Beschleunigung oder des Rückgangs identifizieren, zugehörige KPIs aufzeigen und ein Pre-Read entwerfen, das das Team vor einem Quarterly Business Review überprüfen kann.\u003C/p\u003E\r\n\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/en/artificial-intelligence/natural-language-processing/\"\u003ENatürlichsprachliche\u003C/a\u003E Schnittstellen bieten Führungskräften eine weitere Möglichkeit, das Ergebnis zu untersuchen. Fragen wie „Was hat in diesem Monat am meisten zum Rückgang der Aktivierung beigetragen?” oder „Welche Kundensegmente sind am weitesten vom Q4-Ziel entfernt?” können direkt in die Analyse führen, wenn dem System die relevanten Metriken und Geschäftskonzepte zur Verfügung stehen.\u003C/p\u003E\r\n\u003Cp\u003EÜber alle drei Phasen hinweg gilt die gleiche Einschränkung: KI erbt die Qualität der Messungen, die sie verwendet. Wenn ein Key Result auf inkonsistenten Definitionen, veralteten Werten oder schlecht kontrollierten Quelldaten beruht, reproduziert eine schnellere Analyse diese Schwächen einfach mit höherer Geschwindigkeit. Live-Daten, kontrollierte Daten und gemeinsame Metrikdefinitionen bieten KI-gestützten und agentenbasierten Workflows eine zuverlässigere Grundlage für die Interpretation des Fortschritts.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_how-snowflake-supports-okr-tracking-on-governed-data":{"id":"title-v2-05a141f2b1","additionalClasses":"anchor-title anchor-title--how-snowflake-supports-okr-tracking-on-governed-data","type":"heading2","lines":["Wie Snowflake das OKR-Tracking anhand kontrollierter Daten unterstützt"],":type":"snowflake-site/components/title-v2"},"text_how-snowflake-supports-okr-tracking-on-governed-data_0":{"id":"text-cbdc8f9d5d","text":"\u003Cp\u003EUnternehmen können Snowflake nutzen, um Daten aus operativen Systemen zusammenzuführen, eine konsistente Geschäftslogik anzuwenden und kontrollierte Metriken für BI-, \u003Ca href=\"https://www.snowflake.com/de/analytics/\"\u003EAnalytics-\u003C/a\u003E und KI-Workflows bereitzustellen. Für das OKR-Tracking kann ein Key Result auf dieselbe Metrikdefinition verweisen, die auch an anderer Stelle verwendet wird, anstatt sich auf eine separate Berechnung zu verlassen, die speziell für den OKR-Prozess gepflegt wird.\u003C/p\u003E\r\n\u003Cp\u003E\u003Ca href=\"https://docs.snowflake.com/de/user-guide/views-semantic/overview\"\u003ESnowflake Semantic Views\u003C/a\u003E sind Objekte auf Schemaebene zur Definition von Geschäftskonzepten, einschließlich Metriken, Dimensionen und Beziehungen, über physische Daten. Die Zentralisierung dieser Logik trägt dazu bei, doppelte Metrikdefinitionen über Abfragen und Analysetools hinweg zu reduzieren, während die resultierenden Semantic Views direkt mit SQL abgefragt und von \u003Ca href=\"https://www.snowflake.com/en/developers/guides/getting-started-with-cortex-analyst/\"\u003ECortex Analyst\u003C/a\u003E verwendet werden können.\u003C/p\u003E\r\n\u003Cp\u003EFür ein KR für eine qualifizierte Pipeline könnte eine Semantic View beispielsweise die Metrik und die Beziehungen definieren, die erforderlich sind, um sie gemäß den vereinbarten Geschäftsregeln des Unternehmens zu berechnen. Der Semantic View Editor in Snowsight bietet eine visuelle Schnittstelle zum Erstellen und Bearbeiten dieser Definitionen, einschließlich logischer Tabellen, Dimensionen, Fakten, Metriken und Beziehungen.\u003C/p\u003E\r\n\u003Cp\u003ECortex Analyst verwendet Semantic Views, um natürlichsprachliche Fragen zu interpretieren und SQL für die zugehörigen Daten zu generieren. Während eines OKR-Reviews könnte ein Team diesen semantischen Kontext nutzen, um eine Änderung in einer Key-Result-Metrik zu untersuchen – beispielsweise durch Betrachtung der Performance über Regionen, Produkte oder Kundensegmente hinweg, die in der Ansicht dargestellt sind.\u003C/p\u003E\r\n\u003Cp\u003EDa Semantic Views Snowflake-Objekte auf Schemaebene sind, lassen sie sich auch in das Berechtigungssystem und den Metadatenkatalog von Snowflake integrieren. Dadurch bleiben Metrikdefinitionen, Zugriffskontrollen und die zugrunde liegenden Daten in derselben kontrollierten Umgebung, während dieselben Geschäftskonzepte SQL, BI und KI-gestützte Analysen unterstützen können.\u003C/p\u003E\r\n\u003Cp\u003EFür OKR-Programme ist der Vorteil spezifisch: Teams können ein Key Result anhand derselben kontrollierten Definitionen messen, die bereits an anderer Stelle im Unternehmen verwendet werden, anstatt separate Formeln zu pflegen und deren Ergebnisse regelmäßig in einen Statusbericht zu kopieren.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_build-okrs-on-metrics-teams-trust":{"id":"title-v2-0fe609f00a","additionalClasses":"anchor-title anchor-title--build-okrs-on-metrics-teams-trust","type":"heading2","lines":["OKRs auf Metriken aufbauen, denen Teams vertrauen"],":type":"snowflake-site/components/title-v2"},"text_build-okrs-on-metrics-teams-trust_0":{"id":"text-8f6f2968b0","text":"\u003Cp\u003EOKRs bieten Teams eine disziplinierte Möglichkeit, Prioritäten zu setzen, messbare Outcomes zu definieren und diese während eines Planungszyklus zu überprüfen. Das Framework funktioniert am besten, wenn sich diese Messdisziplin auf die Daten hinter jedem Key Result erstreckt.\u003C/p\u003E\n\u003Cp\u003EFür ein kleines Team kann das unterstützende System unkompliziert sein. Da OKRs Funktionen, Analysetools und KI-Schnittstellen umfassen, benötigen Teams gemeinsame Metrikdefinitionen und aktuelle Daten, die eine konsistentere Grundlage für die Bewertung des Fortschritts und die Entscheidung über den Handlungsbedarf bieten.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"callout_build-okrs-on-metrics-teams-trust_0":{"id":"text-c20d3fa34b","additionalClasses":"callout callout--general","text":"\u003Cp\u003E\u003Cstrong\u003EWICHTIGSTE ERKENNTNIS\u003C/strong\u003E\u003C/p\u003E\n\u003Cp\u003EEffektive OKRs hängen sowohl von der Zielgestaltung als auch von der Messdisziplin ab: Teams benötigen aussagekräftige Outcomes, klare Ziele, regelmäßige Überprüfungen und zuverlässige Metriken, die zeigen, ob die Arbeit das beabsichtigte Ergebnis liefert.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"}},":itemsOrder":["callout__0","text__0","title_what-are-okrs","text_what-are-okrs_0","yt_what-are-okrs_0","title_the-anatomy-of-an-okr-objectives-and-key-results","text_the-anatomy-of-an-okr-objectives-and-key-results_0","card_v2_the-anatomy-of-an-okr-objectives-and-key-results_0","title_types-of-okrs-committed-vs-aspirational","text_types-of-okrs-committed-vs-aspirational_0","title_okrs-vs-kpis-how-they-relate","text_okrs-vs-kpis-how-they-relate_0","title_best-practices-for-writing-good-okrs","text_best-practices-for-writing-good-okrs_0","callout_best-practices-for-writing-good-okrs_0","title_okr-examples-by-team","text_okr-examples-by-team_0","title_how-to-score-and-grade-okrs","text_how-to-score-and-grade-okrs_0","callout_how-to-score-and-grade-okrs_0","title_the-okr-cycle-setting-check-ins-and-retrospectives","text_the-okr-cycle-setting-check-ins-and-retrospectives_0","title_common-okr-mistakes-and-how-to-avoid-them","text_common-okr-mistakes-and-how-to-avoid-them_0","title_tracking-key-results-on-live-governed-data","text_tracking-key-results-on-live-governed-data_0","title_whats-next-ai-assisted-and-agentic-okrs","text_whats-next-ai-assisted-and-agentic-okrs_0","title_how-snowflake-supports-okr-tracking-on-governed-data","text_how-snowflake-supports-okr-tracking-on-governed-data_0","title_build-okrs-on-metrics-teams-trust","text_build-okrs-on-metrics-teams-trust_0","callout_build-okrs-on-metrics-teams-trust_0"],":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium"},"flexible_column_content_container_2":{"additionalClasses":"hub-sidebar","layout":"SIMPLE","id":"hub-body-aside",":items":{"container":{"additionalClasses":"sticky-sidebar","columnClassNames":{"text_943981956_copy_":"aem-GridColumn 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zusammenhängen\u003C/li\u003E\u003Cli data-anchor=\"best-practices-for-writing-good-okrs\"\u003EBest Practices für das Verfassen guter OKRs\u003C/li\u003E\u003Cli data-anchor=\"okr-examples-by-team\"\u003EOKR-Beispiele nach Team\u003C/li\u003E\u003Cli data-anchor=\"how-to-score-and-grade-okrs\"\u003ESo bewerten und benoten Sie OKRs\u003C/li\u003E\u003Cli data-anchor=\"the-okr-cycle-setting-check-ins-and-retrospectives\"\u003EDer OKR-Zyklus: Festlegung, Check-ins und Retrospektiven\u003C/li\u003E\u003Cli data-anchor=\"common-okr-mistakes-and-how-to-avoid-them\"\u003EHäufige OKR-Fehler und wie man sie vermeidet\u003C/li\u003E\u003Cli data-anchor=\"tracking-key-results-on-live-governed-data\"\u003EVerfolgung von Key Results anhand von Live-Daten und kontrollierten Daten\u003C/li\u003E\u003Cli data-anchor=\"whats-next-ai-assisted-and-agentic-okrs\"\u003EDer nächste Schritt: KI-gestützte und agentenbasierte OKRs\u003C/li\u003E\u003Cli data-anchor=\"how-snowflake-supports-okr-tracking-on-governed-data\"\u003EWie Snowflake das OKR-Tracking anhand kontrollierter Daten unterstützt\u003C/li\u003E\u003Cli data-anchor=\"build-okrs-on-metrics-teams-trust\"\u003EOKRs auf Metriken aufbauen, denen Teams vertrauen\u003C/li\u003E\u003C/ul\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small text-color-text-05"}},":itemsOrder":["text_943981956_copy_","text_copy"],":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium"}},":itemsOrder":["container"],":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small"},"isActiveTOC":false,"isBlogPage":false,":type":"snowflake-site/components/flexible-column-container"},"flexible_column_cont_1786318617":{"id":"flexible-column-container-c48f9c6cea","propertiesId":"hub-faq","type":"2-column-40-60","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"large","bottomPadding":"large","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"hub-faq-intro",":items":{"title_v2_copy":{"id":"title-v2-3f1025a24a","additionalClasses":"hub-faq__headline","type":"heading2","lines":["Häufig gestellte Fragen"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment"},"text_copy":{"id":"text-cc0e2da68e","additionalClasses":"hub-faq__subheadline","text":"\u003Cp\u003EIhre häufigsten Fragen zu OKRs, beantwortet von Snowflake-Expert:innen.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2_copy","text_copy"],":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"hub-faq-accordions",":items":{"simple_snowflake_acc":{"id":"simple-snowflake-accordion-75e65d4da3","additionalClasses":"seo-hub__faqs","showDivider":false,"accordionItemsList":[{"title":"Wie viele OKRs sollte ein Team pro Quartal festlegen?","richText":"\u003Cp\u003EDie meisten OKR-Richtlinien bevorzugen eine kleine Anzahl von Objectives mit jeweils einigen wenigen Key Results. Die genaue Anzahl variiert je nach Unternehmen, aber die Auswahl sollte klein genug bleiben, damit jedes Objective regelmäßig Beachtung findet und wirklich eine Priorität darstellt.\u003C/p\u003E"},{"title":"Sind OKRs dasselbe wie SMART-Ziele oder eine Balanced Scorecard?","richText":"\u003Cp\u003ESie befassen sich mit unterschiedlichen Aspekten des Ziel- und Performance-Managements. SMART bietet Kriterien für die Formulierung eines spezifischen Ziels, während eine \u003Ca href=\"https://www.snowflake.com/en/analytics/business-intelligence/strategy/balanced-scorecard/\"\u003EBalanced Scorecard\u003C/a\u003E die strategische Performance über verschiedene Perspektiven eines Unternehmens hinweg organisiert. OKRs nutzen Objectives und messbare Key Results innerhalb eines wiederkehrenden Rhythmus für Planung, Tracking und Bewertung. Unternehmen nutzen diese Ansätze manchmal gemeinsam.\u003C/p\u003E"},{"title":"Funktionieren OKRs für kleine Teams und Start-ups?","richText":"\u003Cp\u003EJa. Kleinere Teams haben oft weniger Ebenen der Zielausrichtung und weniger Systeme, die Daten für Key Results liefern, aber es gelten weiterhin dieselben Kernpraktiken: Halten Sie das Set fokussiert, definieren Sie messbare Key Results, benennen Sie Verantwortliche, überprüfen Sie den Fortschritt regelmäßig und nutzen Sie eine vertrauenswürdige Quelle für jede Messung.\u003C/p\u003E"}],":type":"snowflake-site/components/simple-snowflake-accordion"}},":itemsOrder":["simple_snowflake_acc"],":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container"},"isActiveTOC":false,"isBlogPage":false,":type":"snowflake-site/components/flexible-column-container","appliedCssClassNames":"snowflake-flexible-column-container-gray-10-bg"},"flexible_column_cont_1467213961":{"id":"flexible-column-container-f8fe545cbc","propertiesId":"hub-explore-resources-header","type":"1-column","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"large","bottomPadding":"none","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-373e416e53",":items":{"title_v2":{"id":"title-v2-6109c1bda3","additionalClasses":"hub-explore-resources-header__headline","type":"heading2","lines":["Ressourcen zu Analytics 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