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Intelligence",":type":"snowflake-site/components/structure/page","appliedCssClassNames":"summit-page"},{"id":"breadcrumb-f7c87e3394-item-94e50cfb5d","link":{"valid":true,"url":"/fr/analytics/business-intelligence/okr/"},"active":true,"current":true,"title":"OKR",":type":"snowflake-site/components/structure/page","appliedCssClassNames":"summit-page"}],":type":"snowflake-site/components/breadcrumb"}},":itemsOrder":["breadcrumb"]},":type":"snowflake-site/components/flexible-column-container","isActiveTOC":false,"isBlogPage":false,"appliedCssClassNames":"snowflake-flexible-column-container-gray-10-bg"},"flexible_column_cont_939100716":{"id":"flexible-column-container-ebfd1e6b78","propertiesId":"hub-hero","type":"2-column-even","alignColumns":"center","containerMaxWidth":"extra-large","topPadding":"extra-small","bottomPadding":"extra-small","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"page-section","backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-784ba829bc",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"title_v2":{"id":"title-v2-1bb310443f","additionalClasses":"hub-hero__headline","type":"heading1","lines":["Méthode OKR : comment définir, mesurer et suivre les résultats clés"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment"},"text":{"id":"text-6660bb5144","additionalClasses":"hub-hero__subheadline","text":"\u003Cp\u003ELes OKR offrent aux équipes un moyen structuré de traduire les priorités en objectifs mesurables, puis de suivre ces objectifs grâce à un cycle récurrent de points d'étape et d’évaluations. Découvrez comment rédiger, évaluer et suivre les OKR, et comment des données gouvernées en direct offrent aux équipes une vue plus actuelle et concordante de la progression des résultats clés.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"container":{"additionalClasses":"hub-hero__authors","layout":"RESPONSIVE_GRID","columnCount":12,"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","id":"container-6607efed74",":type":"snowflake-site/components/container",":items":{"content_chip":{"id":"content-chip-0e0dbf543a","cta":{"id":"cta","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/blog/authors/Laurie-Macpherson/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Lire la biographie"},"image":{"id":"image","height":"800","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--d76c5f1c-c1a7-47c1-ae53-19ff8db7bef9/laurie-macpherson.jpg?preferwebp=true&quality=85","lazyEnabled":true,"alt":"Laurie MacPherson","isLcpImage":false,"width":"800",":type":"snowflake-site/components/image"},"headline":{"id":"title","type":"heading5","lines":["Laurie MacPherson","Technical Writer, Snowflake"],":type":"snowflake-site/components/title-v2"},":type":"snowflake-site/components/content-chip"},"content_chip_4664577":{"id":"content-chip-8bdd9f8f49","cta":{"id":"cta","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/blog/authors/tracy-kabuya/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_EXTERNAL","text":"Lire la biographie"},"image":{"id":"image","height":"709","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--9ad7a3c0-e23e-4370-bc36-f59a5fe02eff/img-1817.jpg?preferwebp=true&quality=85","lazyEnabled":true,"alt":"Tracy Kabuya","isLcpImage":false,"width":"709",":type":"snowflake-site/components/image"},"headline":{"id":"title","type":"heading5","lines":["Tracy Kabuya","Contributrice locale, Snowflake"],":type":"snowflake-site/components/title-v2"},":type":"snowflake-site/components/content-chip"}},":itemsOrder":["content_chip","content_chip_4664577"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-small"}},":itemsOrder":["title_v2","text","container"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"flexible_column_content_container_2":{"additionalClasses":"hub-hero__video-column","layout":"SIMPLE","id":"container-9737a408fb",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"youtube":{"id":"embed-33993b5134","youtubeVideoId":"560rRpKij6U","layout":"responsive","youtubeAspectRatio":"56.25","youtubeAutoPlay":false,"youtubeLoop":false,"youtubeMute":false,"youtubePlaysInline":false,"youtubeRel":false,"embeddableResourceType":"core/wcm/components/embed/v1/embed/embeddable/youtube","isLcpImage":true,"type":"EMBEDDABLE",":type":"snowflake-site/components/youtube"}},":itemsOrder":["youtube"]},":type":"snowflake-site/components/flexible-column-container","isActiveTOC":false,"isBlogPage":false,"appliedCssClassNames":"snowflake-flexible-column-container-gray-10-bg"},"flexible_column_cont_1398138236":{"id":"flexible-column-container-088ff1cceb","propertiesId":"hub-hero-related-topics","type":"1-column","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"extra-small","bottomPadding":"medium","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"page-section","backgroundImageOption":"none","flexible_column_content_container_1":{"additionalClasses":"related-topics-outer-container border-top","layout":"SIMPLE","id":"container-a0f95c8aca",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"text_894059747":{"id":"text-b94d32ca20","additionalClasses":"seo-hub-hero__related-topic-label","text":"\u003Cp\u003EThèmes liés à la Business Intelligence :\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"text":{"id":"text-c224bf9cf8","additionalClasses":"related-topics ","text":"\u003Cul\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/fr/analytics/business-intelligence/tools/\"\u003EOutils de Business Intelligence\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E\u003Ca href=\"https://www.snowflake.com/fr/analytics/business-intelligence/kpi/\"\u003EKPI\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","isActiveTOC":false,"isBlogPage":false,"appliedCssClassNames":"snowflake-flexible-column-container-gray-10-bg"},"flexible_column_cont_663228916":{"id":"flexible-column-container-117ed0b9ac","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",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"callout__0":{"id":"text-7b9457b370","additionalClasses":"callout callout--general","text":"\u003Cp\u003E\u003Cb\u003EDÉFINITION DES OKR\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003ELa méthode OKR (objectifs et résultats clés, de l'anglais Objectives and Key Results) consiste à fixer un objectif qualitatif et à lui associer quelques résultats clés mesurables pour suivre les progrès sur une période définie, généralement un trimestre.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"text__0":{"id":"text-1c2543122c","text":"\u003Cp\u003EUn OKR semble simple sur le papier : choisissez un objectif, définissez quelques résultats clés mesurables et examinez les progrès tout au long du trimestre. En pratique, le framework demande aux équipes de faire plusieurs choix conséquents : quels résultats méritent la priorité, quelles preuves démontreront les progrès, si un objectif est un engagement ou une aspiration, et à quelle fréquence l’examiner et l’évaluer.\u003C/p\u003E\n\u003Cp\u003ELa mesure des OKR est devenue beaucoup plus complexe depuis l’apparition du concept dans les années 1970. Aujourd'hui, les résultats clés d'une équipe peuvent dépendre à la fois d'enregistrements du CRM, de règles métier gérées par une équipe data et d'indicateurs définis différemment d'un tableau de bord de \u003Ca href=\"https://www.snowflake.com/fr/analytics/business-intelligence/\"\u003EBusiness Intelligence\u003C/a\u003E (BI) à l'autre. Lorsque la mesure s’appuie sur des \u003Ca href=\"https://www.snowflake.com/fr/data-governance/\"\u003Edonnées gouvernées\u003C/a\u003E en direct, les équipes obtiennent des chiffres plus récents basés sur des définitions concordantes. Les réunions d’évaluation peuvent passer moins de temps à rapprocher les chiffres et plus de temps à examiner la trajectoire de l’objectif, les facteurs qui l’influencent et les prochaines étapes.\u003C/p\u003E","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_what-are-okrs":{"id":"title-v2-8e32b064be","additionalClasses":"anchor-title anchor-title--methode-okr","type":"heading2","lines":["Qu’est-ce que la méthode OKR ?"],":type":"snowflake-site/components/title-v2"},"text_what-are-okrs_0":{"id":"text-e24729c21b","text":"\u003Cp\u003ELes objectifs et résultats clés (OKR) constituent un framework de définition d’objectifs qui associe un objectif qualitatif à un petit ensemble de résultats clés quantitatifs. L'objectif énonce ce qu'une équipe souhaite accomplir, tandis que les résultats clés précisent les résultats mesurables qui permettraient de démontrer les progrès réalisés vers cet objectif.\u003C/p\u003E\r\n\u003Cp\u003EPar exemple :\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003EObjectif :\u003C/b\u003E faciliter l’intégration des nouveaux clients.\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003ERésultats clés :\u003C/b\u003E\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003EAugmenter le taux d’activation de 40 % à 55 % d’ici la fin du 4e trimestre.\u003C/li\u003E\r\n\u003Cli\u003ERéduire le délai médian avant la première valeur (\u003Ci style=\"font-weight: bold;\"\u003Etime to value\u003C/i\u003E)\u003Cb\u003E \u003C/b\u003Ede sept à trois jours.\u003C/li\u003E\r\n\u003Cli\u003ERéduire de 20 % le nombre de tickets de support liés à l’intégration par nouveau client.\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003ELe framework des OKR \u003Ca rel=\"noopener noreferrer\" target=\"_blank\" href=\"https://www.whatmatters.com/articles/the-origin-story\"\u003Eest né des travaux\u003C/a\u003E du dirigeant d’Intel, Andy Grove, qui a développé l’approche de gestion ayant évolué vers les OKR modernes. John Doerr a appris le système chez Intel et l’a ensuite introduit chez Google, contribuant ainsi à populariser plus largement les OKR grâce à son livre \u003Ca rel=\"noopener noreferrer\" target=\"_blank\" href=\"https://www.goodreads.com/en/book/show/39286958-measure-what-matters\"\u003E\u003Ci\u003EMesurez ce qui compte\u003C/i\u003E\u003C/a\u003E.\u003C/p\u003E\r\n\u003Cp\u003EDoerr décrit cinq avantages d’une pratique efficace des OKR à travers l’acronyme F.A.C.T.S. (en anglais) : Focus (concentration), Alignment (alignement), Commitment (engagement), Tracking (suivi) et Stretching (dépassement). La concentration limite l’attention à un petit nombre de priorités ; l’alignement relie les objectifs à travers l’organisation ; l’engagement établit une responsabilité partagée ; le suivi maintient la visibilité des progrès tout au long du cycle ; et le dépassement encourage des cibles ambitieuses.\u003C/p\u003E\r\n\u003Cp\u003ELes entreprises définissent généralement les OKR selon une cadence récurrente, souvent trimestrielle, puis les examinent et les évaluent tout au long ou à la fin du cycle. Ce rythme distingue les OKR d’une liste de tâches statique : le framework fournit un point de référence continu pour déterminer où le travail produit le résultat escompté et où il échoue.\u003C/p\u003E\r\n\u003Cp\u003E\u003Ci\u003EDécouvrez comment Thomson Reuters utilise Cortex Analyst pour créer des analyses \u003Cb\u003Efondées sur l'IA à partir des\u003C/b\u003E données d'entreprise :\u003C/i\u003E\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"yt_what-are-okrs_0":{"id":"embed-91761c4e89","youtubeVideoId":"8KIHr7d2sg8","layout":"responsive","youtubeAspectRatio":"56.25","youtubeAutoPlay":false,"youtubeLoop":false,"youtubeMute":false,"youtubePlaysInline":false,"youtubeRel":false,"embeddableResourceType":"core/wcm/components/embed/v1/embed/embeddable/youtube","isLcpImage":false,"type":"EMBEDDABLE",":type":"snowflake-site/components/youtube"},"title_the-anatomy-of-an-okr-objectives-and-key-results":{"id":"title-v2-4b90113497","additionalClasses":"anchor-title anchor-title--anatomie-okr","type":"heading2","lines":["L’anatomie d’un OKR : objectif et résultats clés"],":type":"snowflake-site/components/title-v2"},"text_the-anatomy-of-an-okr-objectives-and-key-results_0":{"id":"text-a6dbf1713a","text":"\u003Cp\u003ELes deux composants d’un OKR remplissent des rôles différents. Un objectif est une déclaration d’intention qualitative. Il doit donner à l’équipe une direction claire tout en laissant la place à différentes manières de l’atteindre. « Offrir une expérience d’intégration plus fluide », par exemple, décrit le résultat souhaité par l’équipe sans prescrire de fonctionnalité, de campagne ou de workflow particulier.\u003C/p\u003E\r\n\u003Cp\u003EUn résultat clé traduit cette direction en preuves mesurables. Prenez ce résultat clé qui démontrerait une expérience d’intégration plus fluide : « Réduire le délai médian d’obtention de la première valeur de sept à trois jours d’ici la fin du 4e trimestre. » L'indicateur est le délai médian d’obtention de la première valeur. Sept jours constituent la valeur de départ, trois jours sont la cible et la fin du 4e trimestre fournit la limite de temps.\u003C/p\u003E\r\n\u003Cp\u003ECette structure aide également à séparer les résultats des livrables. « Livrer cinq améliorations d’intégration » enregistre une activité. « Réduire le délai d’obtention de la première valeur de sept à trois jours » mesure le résultat que le travail est censé produire.\u003C/p\u003E\r\n\u003Cp\u003EChaque résultat clé nomme un résultat mesurable, ce qui signifie que chacun s’appuie également sur une définition d'indicateur et une source de données. Le cadre fixe ce que l'équipe entend mesurer, mais ce sont les données qui sous-tendent l'indicateur qui déterminent avec quelle fiabilité elle le mesure.\u003C/p\u003E\r\n","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-v2-610375e027","additionalClasses":"seo-customer","configurationStatus":{"configured":true,"message":""},"button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/fr/customers/all-customers/case-study/etam/"},"linkTargetContentType":"GENERIC",":type":"snowflake-site/components/button","linkType":"SNOWFLAKE_INTERNAL","text":"Lire le témoignage client"},":type":"snowflake-site/components/card-v2","title":{"id":"title","type":"heading4","lines":["TÉMOIGNAGE CLIENT : Etam"],":type":"snowflake-site/components/title-v2"},"image":{"id":"image","height":"450","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--ffca81ca-74a7-4ca7-9416-f7931f17a19b/etam.png?preferwebp=true&quality=85","lazyEnabled":true,"alt":"Etam","isLcpImage":false,"width":"624",":type":"snowflake-site/components/image"},"type":"content-card","text":{"id":"text","text":"\u003Cp\u003ELa marque de prêt-à-porter française Etam a centralisé ses données sur l’AI Data Cloud de Snowflake pour démocratiser leur accès dans tous ses services. Grâce au modèle « as a service », l’entreprise peut désormais calculer les coûts et le retour sur investissement de chaque projet de données, qu’elle conçoit et déploie en deux à trois mois contre six auparavant. Ses prévisions ont gagné 8 à 15 % de précision, et deux cas d’usage devraient à eux seuls rapporter entre 5 et 7 millions d’euros. Sophie Buresi, directrice data et CRM chez Etam, témoigne : « Grâce à Snowflake, nous pouvons maximiser la valeur de ces informations et obtenir un véritable retour sur investissement. »\u003Cbr\u003E\r\n\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text"},"layoutStyle":"horizontal"},"title_types-of-okrs-committed-vs-aspirational":{"id":"title-v2-55868f189c","additionalClasses":"anchor-title anchor-title--okr-engages-ambitieux-apprentissage","type":"heading2","lines":["Types d’OKR : engagés, ambitieux et d'apprentissage"],":type":"snowflake-site/components/title-v2"},"text_types-of-okrs-committed-vs-aspirational_0":{"id":"text-b66a967c51","text":"\u003Cp\u003EOn distingue généralement trois types d’OKR, selon le degré de certitude attaché au résultat visé. Les deux premiers sont associés en particulier à la manière dont Google a mis en œuvre ce framework. Le troisième s’est répandu plus récemment, pour les situations où l’équipe ne sait pas encore quel résultat viser.\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cb\u003ELes OKR engagés\u003C/b\u003E portent sur un résultat que l’équipe est tenue d’obtenir au cours du cycle. Les ressources et les priorités doivent refléter cette attente, et la cible est généralement considérée comme devant être atteinte à 100 %.\u003C/li\u003E\r\n\u003Cli\u003E\u003Cb\u003ELes OKR d’aspiration\u003C/b\u003E vont délibérément plus loin. Ces objectifs de dépassement comportent davantage d’incertitude, et une réalisation partielle peut déjà représenter un progrès important. \u003Ca href=\"https://www.whatmatters.com/resources/google-okr-playbook\"\u003EL’approche de notation de Google\u003C/a\u003E considère ainsi qu’un score compris entre 0,7 et 1,0 est satisfaisant pour un OKR ambitieux, tandis qu’un OKR d’engagement doit atteindre 1,0.\u003C/li\u003E\r\n\u003Cli\u003E\u003Cb\u003ELes OKR d’apprentissage\u003C/b\u003E s’emploient lorsque l’équipe manque d’éléments pour fixer une cible réaliste : nouveau marché, nouveau produit, problème encore mal compris. Les résultats clés mesurent alors ce que l’équipe doit apprendre plutôt qu’un résultat métier : hypothèses testées, entretiens clients menés, expérimentations réalisées, valeur de départ établie. Ils préparent le terrain pour un OKR d’engagement ou ambitieux au cycle suivant.\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Cp\u003EIndiquer le type de chaque OKR dès le début du cycle donne au score final un contexte utile. Un 0,7 obtenu sur un objectif de croissance très ambitieux et un 0,7 obtenu sur une échéance réglementaire obligatoire ne signifient pas du tout la même chose. Pour un OKR d’apprentissage, le score compte moins que ce que l’équipe a appris et la façon dont elle s’en sert pour fixer ses prochaines cibles.\u003C/p\u003E\r\n\u003Cp\u003ECertaines organisations distinguent également les OKR stratégiques, qui expriment des priorités de haut niveau ou à plus long terme, des OKR opérationnels ou d’équipe qui y contribuent. Quelle que soit la terminologie retenue, la hiérarchie des OKR doit montrer comment les résultats mesurables de chaque équipe se rattachent aux priorités de l’organisation.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_okrs-vs-kpis-how-they-relate":{"id":"title-v2-e7ba8ed282","additionalClasses":"anchor-title anchor-title--okr-vs-kpi","type":"heading2","lines":["OKR et KPI : quelle différence ?"],":type":"snowflake-site/components/title-v2"},"text_okrs-vs-kpis-how-they-relate_0":{"id":"text-700d611faf","text":"\u003Cp\u003ELes OKR et les indicateurs clés de performance (\u003Ca href=\"https://www.snowflake.com/fr/analytics/business-intelligence/kpi/\"\u003EKPI\u003C/a\u003E) sont étroitement liés, ce qui explique en grande partie la confusion entre les deux.\u003C/p\u003E\r\n\u003Cp\u003EUn KPI est une mesure continue de la performance. Le taux d'attrition mensuel, la marge brute, la disponibilité, la précision des prévisions et le taux de conversion peuvent figurer sur un tableau de bord trimestre après trimestre, car l'organisation souhaite en surveiller l'évolution en continu.\u003C/p\u003E\r\n\u003Cp\u003EUn OKR spécifie un objectif avec des résultats clés que l’organisation souhaite produire au cours d’une période définie.\u003C/p\u003E\r\n\u003Cp\u003EPrenez l’attrition client :\u003C/p\u003E\r\n\u003Cp\u003EUn KPI d’attrition client mensuelle pourrait être de 5 %. Un résultat clé d’OKR pourrait inclure le même indicateur de cette façon : Réduire l’attrition client mensuelle de 5 % à 3 % d’ici la fin du 2e trimestre.\u003C/p\u003E\r\n\u003Cp\u003ELe KPI fournit la mesure. Le résultat clé ajoute une valeur de départ, une cible et une échéance qui décrivent le changement prévu.\u003C/p\u003E\r\n\u003Cp\u003EDe nombreux résultats clés utilisent donc des KPI existants, bien que cette relation ne soit pas obligatoire. Une équipe peut créer un nouvel indicateur pour une initiative qui n’a jamais été mesurée auparavant. Dans les deux cas, le résultat clé nécessite une méthode de calcul convenue et une source fiable pour les données sous-jacentes.\u003C/p\u003E\r\n\u003Cp\u003ELes KPI peuvent également servir de garde-fous autour d’un OKR. Une équipe produit qui vise une adoption rapide peut, par exemple, suivre le volume de demandes au support ou la satisfaction client en parallèle de son objectif de croissance, afin que les progrès sur un indicateur ne masquent pas la dégradation d'un autre.\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-v2-63881ddd16","additionalClasses":"anchor-title anchor-title--rediger-okr-efficaces","type":"heading2","lines":["Comment rédiger des OKR efficaces ?"],":type":"snowflake-site/components/title-v2"},"text_best-practices-for-writing-good-okrs_0":{"id":"text-820e3fa57e","text":"\u003Cp\u003EUn bon OKR permet de cibler l’attention. Si une équipe aborde un trimestre avec 15 objectifs, des dizaines de résultats clés et aucun ordre de priorité clair entre eux, c'est que le framework n'est pas utilisé efficacement. La rédaction d’un ensemble utile d’OKR commence par les bonnes pratiques suivantes.\u003C/p\u003E\r\n\u003Ch3\u003ERédiger des objectifs axés sur les résultats\u003C/h3\u003E\r\n\u003Cp\u003EUn objectif doit décrire un résultat que l’équipe souhaite produire. « Lancer trois campagnes d’acquisition » décrit un travail planifié. « Augmenter la demande qualifiée provenant des comptes cibles » donne à l’équipe un résultat auquel plusieurs types de travaux peuvent contribuer. L’objectif n’a pas besoin d’un indicateur, car les résultats clés de l’objectif la fournissent.\u003C/p\u003E\r\n\u003Ch3\u003EDonner à chaque résultat clé une valeur de départ et une cible\u003C/h3\u003E\r\n\u003Cp\u003ELes bases de référence révèlent également l’ampleur du changement proposé. Augmenter l’activation à 60 % a une signification très différente si le taux actuel est de 58 % ou de 35 %.\u003C/p\u003E\r\n\u003Cp\u003ELes résultats clés doivent également s'accompagner de cibles précises. « Améliorer la précision des prévisions » laisse trop de points en suspens. « Augmenter la précision des prévisions trimestrielles de 72 % à 85 % d’ici la fin du 4e trimestre » établit à la fois la position de départ et le résultat attendu.\u003C/p\u003E\r\n\u003Ch3\u003EAttribuer un \u003Cb\u003Eresponsable\u003C/b\u003E désigné\u003C/h3\u003E\r\n\u003Cp\u003EUn résultat clé dépend souvent du travail de plusieurs personnes, mais la responsabilité de son suivi doit rester claire. Cette personne maintient la visibilité de la mesure et s’assure que les changements font l’objet d’une attention particulière.\u003C/p\u003E\r\n\u003Ch3\u003EÉprouver la mesure\u003C/h3\u003E\r\n\u003Cp\u003EAvant de vous engager sur un résultat clé, demandez-vous comment sa valeur actuelle sera calculée au cours du cycle. D’où proviennent les données ? À quelle fréquence sont-elles actualisées ? Qui est responsable de la définition de la métrique ? La même étiquette fait-elle référence au même calcul dans les différents tableaux de bord et équipes ?\u003C/p\u003E\r\n\u003Cp\u003EUn résultat clé qui nécessite un nouveau pipeline de mesure n’est pas nécessairement un mauvais résultat clé. L’équipe doit simplement tenir compte de ce travail avant le début du cycle.\u003C/p\u003E\r\n\u003Cp\u003ELe même test permet de repérer les résultats clés qui sont difficiles à évaluer. Un résultat clé comme « Renforcer la confiance dans la marque », par exemple, nécessite une méthode de mesure définie avant que l'équipe puisse déterminer ce que représente un progrès.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"callout_best-practices-for-writing-good-okrs_0":{"id":"text-da87f6eba3","additionalClasses":"callout callout--tip","text":"\u003Cp\u003E\u003Cb\u003EASTUCE\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003EAvant de finaliser un résultat clé, identifiez l'indicateur, la base de référence, la cible et la source de données que vous utiliserez pour le mesurer. Le faire lors de la planification permet souvent de mettre en évidence des définitions ambiguës ou des lacunes de mesure avant qu’elles ne perturbent le cycle des OKR.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"title_okr-examples-by-team":{"id":"title-v2-17e04ad2ab","additionalClasses":"anchor-title anchor-title--exemples-okr","type":"heading2","lines":["Exemples d’OKR par équipe"],":type":"snowflake-site/components/title-v2"},"text_okr-examples-by-team_0":{"id":"text-c89e7d6b0a","text":"\u003Cp\u003ELes OKR prennent différentes formes au sein de l’organisation, car chaque équipe influence des résultats stratégiques différents. Les indicateurs peuvent aller de l’activation et de la rétention au pipeline et à la précision des prévisions, mais chaque résultat clé doit donner à l’équipe un moyen mesurable de relier son travail à un objectif plus large.\u003C/p\u003E\r\n\u003Ch3\u003ELeadership\u003C/h3\u003E\r\n\u003Cp\u003E\u003Cb\u003EObjectif :\u003C/b\u003E Devenir la marque de référence de la catégorie.\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003ERésultats clés possibles :\u003C/b\u003E\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003EAugmenter le Net Promoter Score de X à Y\u003C/li\u003E\r\n\u003Cli\u003EAugmenter le taux de signature face à la concurrence de X % à Y %\u003C/li\u003E\r\n\u003Cli\u003EAugmenter la fidélisation des clients de X % à Y %\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Ch3\u003EProduit\u003C/h3\u003E\r\n\u003Cp\u003E\u003Cb\u003EObjectif :\u003C/b\u003E Faciliter l’intégration des nouveaux clients.\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003ERésultats clés possibles :\u003C/b\u003E\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003EAugmenter le taux d’activation de X % à Y %\u003C/li\u003E\r\n\u003Cli\u003ERéduire le délai médian d’obtention de la première valeur de X jours à Y jours\u003C/li\u003E\r\n\u003Cli\u003ERéduire le nombre de tickets d’assistance à l’intégration par nouveau client de X à Y\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Ch3\u003EMarketing\u003C/h3\u003E\r\n\u003Cp\u003E\u003Cb\u003EObjectif :\u003C/b\u003E Créer un moteur de demande plus prévisible.\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003ERésultats clés possibles :\u003C/b\u003E\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003EAugmenter le pipeline qualifié de X € à Y €\u003C/li\u003E\r\n\u003Cli\u003EAugmenter la conversion des opportunités de X % à Y %\u003C/li\u003E\r\n\u003Cli\u003ERéduire le coût par opportunité de X € à Y €\u003C/li\u003E\r\n\u003C/ul\u003E\r\n\u003Ch3\u003EOpérations commerciales et de revenus\u003C/h3\u003E\r\n\u003Cp\u003E\u003Cb\u003EObjectif :\u003C/b\u003E Améliorer la confiance dans les prévisions de revenus.\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003ERésultats clés possibles :\u003C/b\u003E\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003EAugmenter la précision des prévisions de X % à Y %\u003C/li\u003E\r\n\u003Cli\u003ERéduire la durée médiane du cycle de vente de X jours à Y jours\u003C/li\u003E\r\n\u003Cli\u003EAugmenter la couverture du pipeline de X à Y\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_how-to-score-and-grade-okrs":{"id":"title-v2-4190ed3382","additionalClasses":"anchor-title anchor-title--noter-evaluer-okr","type":"heading2","lines":["Comment noter et évaluer les OKR ?"],":type":"snowflake-site/components/title-v2"},"text_how-to-score-and-grade-okrs_0":{"id":"text-03173bcb2b","text":"\u003Cp\u003EDe nombreux programmes d’OKR notent les résultats clés individuels sur une échelle de 0,0 à 1,0, puis utilisent ces résultats pour évaluer l’objectif dans son ensemble.\u003C/p\u003E\n\u003Cp\u003ESupposons qu’un résultat clé vise à augmenter l’activation de 40 % à 55 %. Si l’activation termine le cycle à 50 %, la méthode de notation traduit cette progression en un résultat standardisé afin que les équipes puissent examiner les différents résultats clés de manière cohérente.\u003C/p\u003E\n\u003Cp\u003EL’interprétation dépend en partie du type d’OKR. L’approche de Google place les scores ambitieux de 0,7 à 1,0 dans sa plage verte, tandis que les OKR engagés sont censés atteindre 1,0. Atteindre systématiquement 100 % d’objectifs très ambitieux pourrait également indiquer que les cibles ne poussent pas l’équipe très loin.\u003C/p\u003E\n\u003Cp\u003ELe score n’est qu’une partie de l’examen de fin de cycle, qui doit également examiner ce qui a contribué au résultat, quelles hypothèses se sont vérifiées et ce qui devrait changer au cours du cycle suivant.\u003C/p\u003E\n\u003Cp\u003EPar exemple, une équipe qui a atteint 0,6 peut avoir rencontré une hypothèse incorrecte, une dépendance externe ou un changement dans les priorités stratégiques. Une autre équipe avec le même score peut avoir commencé tard ou avoir laissé le résultat clé s’éloigner du travail quotidien. Le score seul ne permet pas de distinguer ces circonstances.\u003C/p\u003E\n\u003Cp\u003EEnfin, la qualité du score dépend de la qualité de la mesure sous-jacente. Une échelle de 0,0 à 1,0, aussi soigneusement conçue soit-elle, n'a guère de valeur si l'indicateur source n'est pas fiable, parce qu'il n'est pas à jour ou qu'il fait l'objet de définitions contradictoires.\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-f2a738ce91","additionalClasses":"callout callout--warning","text":"\u003Cp\u003E\u003Cb\u003EPIÈGE COURANT\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003ELier directement les scores des OKR à la rémunération individuelle crée des incitations contradictoires, en particulier pour les objectifs ambitieux. Si un collaborateur s’attend à ce qu’un score d’objectif ambitieux plus faible réduise sa rémunération, la réponse rationnelle consiste à choisir des cibles plus sûres. Le framework perd alors une partie de son utilité en tant que moyen de poursuivre des résultats ambitieux et d’apprendre de ses erreurs.\u003C/p\u003E\r\n","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-v2-79a442f32d","additionalClasses":"anchor-title anchor-title--cycle-okr","type":"heading2","lines":["Le cycle des OKR : définition, points d'étape et rétrospectives"],":type":"snowflake-site/components/title-v2"},"text_the-okr-cycle-setting-check-ins-and-retrospectives_0":{"id":"text-78c30a2cf0","text":"\u003Cp\u003ELes OKR sont conçus pour fonctionner selon une cadence de gestion récurrente. La planification établit la cible, les points d'étape font remonter les changements tôt et la rétrospective transforme le résultat final en données d’entrée pour le cycle suivant.\u003C/p\u003E\r\n\u003Ch3\u003EDéfinir les OKR\u003C/h3\u003E\r\n\u003Cp\u003EUn cycle trimestriel typique commence par la rédaction et l’alignement des objectifs, l’établissement des résultats clés et la désignation des responsables. À ce stade, les équipes doivent s'assurer que chaque résultat clé dispose d'une valeur de départ, d'une cible et d'une source de mesure clairement établies, car les définitions laissées en suspens ont tendance à refaire surface plus tard, lors des points d'étape.\u003C/p\u003E\r\n\u003Ch3\u003EExaminer les progrès régulièrement\u003C/h3\u003E\r\n\u003Cp\u003EAu cours du trimestre, les équipes examinent les progrès chaque semaine ou toutes les deux semaines, identifient les résultats clés qui dérapent et ajustent le travail en conséquence. Des points d'étape fréquents donnent aux équipes l’occasion de réagir pendant qu’il est encore temps d’influencer le résultat. Plutôt que d’attendre la fin du trimestre pour découvrir qu’un résultat clé n’a pas été atteint, les équipes peuvent rechercher ce qui motive les changements dans un indicateur et ajuster leur travail en conséquence.\u003C/p\u003E\r\n\u003Cp\u003EUn point de contrôle utile commence par la valeur actuelle de chaque résultat clé, puis demande ce qui a changé, ce qui bloque tout mouvement ultérieur et quelles actions méritent l’attention avant le prochain examen.\u003C/p\u003E\r\n\u003Cp\u003ESi la première partie de chaque réunion est consacrée à la collecte de mises à jour de feuilles de calcul ou au rapprochement de chiffres contradictoires, la cadence entraîne des frais opérationnels inutiles. Avec les mesures actuelles disponibles au moment de la réunion, la discussion peut passer plus rapidement à la trajectoire de l’objectif et à ce qu’il faut faire ensuite.\u003C/p\u003E\r\n\u003Ch3\u003ENoter et exécuter une rétrospective\u003C/h3\u003E\r\n\u003Cp\u003EÀ la fin du cycle, les équipes notent les résultats et examinent ce qui les a façonnés. Le score montre les progrès réalisés par l’équipe vers la cible, tandis que la rétrospective examine ce qui a contribué au résultat, quelles hypothèses se sont vérifiées et ce qui devrait changer au cours du cycle suivant. Cet examen devrait alimenter directement le prochain cycle de planification.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_common-okr-mistakes-and-how-to-avoid-them":{"id":"title-v2-9655bc3c2b","additionalClasses":"anchor-title anchor-title--erreurs-okr","type":"heading2","lines":["Erreurs courantes liées aux OKR et comment les éviter"],":type":"snowflake-site/components/title-v2"},"text_common-okr-mistakes-and-how-to-avoid-them_0":{"id":"text-52ad046f10","text":"\u003Cp\u003ELa plupart des problèmes liés aux OKR relèvent de quelques modèles récurrents, dont plusieurs ne font surface qu’après le début de l’exécution.\u003C/p\u003E\r\n\u003Cul\u003E\r\n\u003Cli\u003E\u003Cb\u003ETrop d’OKR :\u003C/b\u003E une longue liste affaiblit la priorisation que le framework est censé créer. Limitez le nombre d'objectifs en cours afin que chacun bénéficie d'une attention suffisante tout au long du cycle.\u003C/li\u003E\r\n\u003Cli\u003E\u003Cb\u003EDes livrables présentés comme des résultats :\u003C/b\u003E « Lancer une nouvelle fonctionnalité » enregistre l’achèvement d’un travail. Un résultat clé tel que « Faire passer l'adoption hebdomadaire du workflow de 22 % à 35 % » mesure ce qui s'est produit une fois la fonctionnalité mise à disposition des utilisateurs.\u003C/li\u003E\r\n\u003Cli\u003E\u003Cb\u003EUn alignement faible :\u003C/b\u003E les OKR d’équipe doivent être visiblement liés aux priorités de l’entreprise plutôt que de fonctionner comme une couche de planification indépendante.\u003C/li\u003E\r\n\u003Cli\u003E\u003Cb\u003EUne planification sans suivi :\u003C/b\u003E les objectifs trimestriels perdent leur pertinence opérationnelle lorsque les équipes ne les examinent qu'au moment de la planification et du bilan de clôture. Des points d'étape réguliers maintiennent l'indicateur dans le cycle de décision.\u003C/li\u003E\r\n\u003Cli\u003E\u003Cb\u003EDes objectifs détachés du travail quotidien :\u003C/b\u003E Une équipe doit avoir une certaine capacité à influencer ses résultats clés par les choix qu’elle fait au cours du trimestre. Sinon, l'indicateur fonctionne principalement comme une observation.\u003C/li\u003E\r\n\u003Cli\u003E\u003Cb\u003EBiaiser les scores :\u003C/b\u003E considérer l'atteinte des OKR comme un indicateur direct de la performance des collaborateurs incite à fixer des cibles moins ambitieuses et complique le recours aux OKR ambitieux.\u003C/li\u003E\r\n\u003Cli\u003E\u003Cb\u003EDes mesures peu fiables :\u003C/b\u003E un chiffre copié manuellement ou obsolète, ou une définition contestée, fait perdre du temps sur des tâches de réconciliation. On a tendance à réduire ce problème à une question d'outillage OKR, alors qu'il prend souvent naissance plus bas dans la pile technique, au niveau des définitions d'indicateurs, des sources de données et de la gouvernance.\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_tracking-key-results-on-live-governed-data":{"id":"title-v2-9eb67ec473","additionalClasses":"anchor-title anchor-title--suivi-resultats-cles","type":"heading2","lines":["Suivre les résultats clés sur des données gouvernées et à jour"],":type":"snowflake-site/components/title-v2"},"text_tracking-key-results-on-live-governed-data_0":{"id":"text-aa772b8a67","text":"\u003Cp\u003ELes feuilles de calcul et les outils OKR dédiés suffisent souvent pour enregistrer les objectifs, les responsables et les scores. Toute la difficulté consiste à maintenir à jour et cohérente la mesure qui sous-tend chaque résultat clé, en particulier lorsqu'elle repose sur des données issues de plusieurs systèmes.\u003C/p\u003E\r\n\u003Cp\u003EPrenons l’exemple d’un résultat clé visant à augmenter la conversion du pipeline qualifié de 18 % à 24 %. Les équipes doivent s'accorder sur les opportunités à prendre en compte, le passage d'étape qui vaut conversion, le traitement des opportunités rouvertes et les dates qui déterminent leur rattachement à la période de reporting. Si ces règles sont mises en œuvre séparément dans un rapport CRM, un tableau de bord de BI et une requête d'analyste, chaque système risque de produire un résultat différent pour un même résultat clé.\u003C/p\u003E\r\n\u003Cp\u003ELa copie d’une valeur dans une feuille de calcul introduit un autre problème : le score enregistré reflète l'indicateur au moment où quelqu’un l’a saisie, plutôt que sa valeur actuelle.\u003C/p\u003E\r\n\u003Cp\u003ELa connexion d’un résultat clé à des données gouvernées en direct résout ces deux problèmes. Les données sous-jacentes sont gérées et actualisées selon les exigences de l'organisation, tandis qu'une logique métier commune définit la manière dont l'indicateur est calculé. La vue OKR peut alors référencer cette mesure plutôt que de conserver une copie distincte.\u003C/p\u003E\r\n\u003Cp\u003ELe flux ressemble à peu près à ceci :\u003C/p\u003E\r\n\u003Cp\u003E\u003Cb\u003EDonnées sources → intégration et transformation → définition d'indicateur gouverné → valeur d'indicateur actuelle → suivi et analyse des OKR\u003C/b\u003E\u003C/p\u003E\r\n\u003Cp\u003E« En direct » ne signifie pas nécessairement en temps réel. Un résultat clé portant sur le chiffre d'affaires trimestriel peut nécessiter une actualisation quotidienne, alors qu'un indicateur opérationnel exige une latence beaucoup plus faible. Ce qui compte, c’est que la mesure reste connectée à sa source gérée et s’actualise à une cadence appropriée aux décisions que l’équipe doit prendre.\u003C/p\u003E\r\n\u003Cp\u003ELa gouvernance applique des définitions d'indicateurs cohérentes, une attribution claire des responsabilités, une \u003Ca href=\"/fr/data-governance/data-lineage/\"\u003Etraçabilité\u003C/a\u003E et des droits d'accès appropriés, afin d'aider les équipes à comprendre ce que représente un chiffre, d'où il provient et s'il convient de l'utiliser pour un résultat clé donné.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"title_whats-next-ai-assisted-and-agentic-okrs":{"id":"title-v2-3fc350486d","additionalClasses":"anchor-title anchor-title--okr-ia","type":"heading2","lines":["Quel rôle pour l’IA dans la méthode OKR ?"],":type":"snowflake-site/components/title-v2"},"text_whats-next-ai-assisted-and-agentic-okrs_0":{"id":"text-6b125b0312","text":"\u003Cp\u003EL’IA commence à influencer plusieurs aspects de la gestion des objectifs, y compris le travail qui implique la rédaction, le suivi et le résumé des OKR.\u003C/p\u003E\r\n\u003Ch3\u003EAméliorer les OKR lors de la planification\u003C/h3\u003E\r\n\u003Cp\u003ELors de la définition des objectifs, les outils assistés par l’IA peuvent examiner les projets d’objectifs et de résultats clés pour détecter des problèmes structurels tels qu’un langage vague, des bases de référence manquantes, des cibles irréalistes ou des activités présentées comme des résultats.\u003C/p\u003E\r\n\u003Cp\u003ECe type d’examen est plus utile comme contrôle de qualité que comme substitut au jugement stratégique. Un \u003Ca href=\"https://www.snowflake.com/fr/artificial-intelligence/\"\u003Esystème d’IA\u003C/a\u003E peut signaler que « lancer trois améliorations d’intégration » décrit un livrable, par exemple, tandis que l’équipe doit encore décider quel résultat client doit le remplacer et quel niveau d’amélioration est réaliste.\u003C/p\u003E\r\n\u003Ch3\u003ESuivre les progrès pendant le cycle\u003C/h3\u003E\r\n\u003Cp\u003EUne fois le trimestre entamé, l’IA a un rôle différent : aider les équipes à identifier les changements qui méritent l’attention. Lorsque les résultats clés sont connectés aux indicateurs actuelles, un système analytique ou \u003Ca href=\"https://www.snowflake.com/fr/artificial-intelligence/agents/\"\u003Eagentique\u003C/a\u003E peut comparer les progrès avec la cible, faire ressortir un changement inattendu et recueillir des informations à l’appui sur ce qui a changé. Un résultat clé commercial qui commence à prendre du retard peut, par exemple, déclencher une analyse par région, par segment ou par étape du pipeline avant même la prochaine revue planifiée.\u003C/p\u003E\r\n\u003Cp\u003ECela permet de retirer une partie du travail de suivi de la préparation manuelle des statuts. Plutôt que d’attendre que quelqu’un remarque un problème dans une feuille de calcul, les équipes reçoivent des signaux plus précoces qui justifient une enquête.\u003C/p\u003E\r\n\u003Ch3\u003ESe préparer aux examens et aux rétrospectives\u003C/h3\u003E\r\n\u003Cp\u003EAu moment de l’examen, l’analyse assistée par l’IA peut aider à assembler le contexte derrière un score. Un système peut ainsi résumer l'évolution d'un indicateur au cours du trimestre, repérer les périodes d'accélération ou de recul, faire remonter les KPI associés et rédiger un document préparatoire que l'équipe relira avant la revue trimestrielle d'activité.\u003C/p\u003E\r\n\u003Cp\u003ELes interfaces en langage naturel offrent aux dirigeants un autre moyen d’étudier le résultat. Des questions telles que « Qu’est-ce qui a le plus contribué à la baisse de l’activation ce mois-ci ? » ou « Quels segments de clientèle sont les plus éloignés de la cible du T4 ? » peuvent mener directement à une analyse lorsque les indicateurs et les concepts métier pertinents sont à la disposition du système.\u003C/p\u003E\r\n\u003Cp\u003EÀ travers ces trois étapes, la même contrainte s’applique : l’IA hérite de la qualité des mesures qu’elle utilise. Si un résultat clé repose sur des définitions incohérentes, des valeurs obsolètes ou des données sources mal gouvernées, une analyse plus rapide reproduit simplement ces faiblesses à une vitesse supérieure. Des données gouvernées et à jour, associées à des définitions d'indicateurs partagées, offrent aux workflows assistés par l'IA et agentiques une base plus fiable pour interpréter les progrès.\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-fd9d72ffaf","additionalClasses":"anchor-title anchor-title--snowflake-suivi-okr","type":"heading2","lines":["Comment Snowflake facilite le suivi des OKR sur des données gouvernées"],":type":"snowflake-site/components/title-v2"},"text_how-snowflake-supports-okr-tracking-on-governed-data_0":{"id":"text-3f74153515","text":"\u003Cp\u003ELes entreprises peuvent utiliser Snowflake pour rassembler les données des systèmes opérationnels, appliquer une logique métier homogène et fournir des indicateurs gouvernées pour la BI, l’\u003Ca href=\"https://www.snowflake.com/fr/analytics/\"\u003Eanalytique\u003C/a\u003E et les workflows d’IA. Pour le suivi des OKR, un résultat clé peut référencer la même définition d'indicateur utilisée ailleurs au lieu de s’appuyer sur un calcul distinct maintenu spécifiquement pour le processus OKR.\u003C/p\u003E\r\n\u003Cp\u003ELes \u003Ca href=\"https://docs.snowflake.com/fr/user-guide/views-semantic/overview\"\u003ESnowflake Semantic Views\u003C/a\u003E sont des objets de niveau schéma qui permettent de définir des concepts métier, tels que des indicateurs, des dimensions et des relations, à partir des données physiques. La centralisation de cette logique permet de réduire les définitions d'indicateurs dupliqués dans les requêtes et les outils analytiques, tandis que les Semantic Views résultantes peuvent être interrogées directement avec SQL et utilisées par \u003Ca href=\"https://www.snowflake.com/fr/product/features/cortex/\"\u003ECortex Analyst\u003C/a\u003E.\u003C/p\u003E\r\n\u003Cp\u003EPour un résultat clé de pipeline qualifié, par exemple, une Semantic View pourrait définir la métrique et les relations requises pour la calculer selon les règles métier convenues par l’organisation. Le Semantic View Editor dans Snowsight fournit une interface visuelle pour créer et modifier ces définitions, y compris les tables logiques, les dimensions, les faits, les indicateurs et les relations.\u003C/p\u003E\r\n\u003Cp\u003ECortex Analyst utilise les Semantic Views pour interpréter les questions en langage naturel et générer du SQL par rapport aux données associées. Lors d’un examen des OKR, une équipe pourrait utiliser ce contexte sémantique pour étudier un changement dans un indicateur de résultat clé, par exemple, en examinant la performance dans les régions, les produits ou les segments de clientèle représentés dans la vue.\u003C/p\u003E\r\n\u003Cp\u003EÉtant donné que les Semantic Views sont des objets au niveau du schéma Snowflake, elles s’intègrent également au système de privilèges et au catalogue de métadonnées de Snowflake. Cela maintient les définitions d'indicateurs, les contrôles d’accès et les données sous-jacentes dans le même environnement gouverné, tout en permettant aux mêmes concepts métier de prendre en charge SQL, la BI et l’analyse assistée par l’IA.\u003C/p\u003E\r\n\u003Cp\u003EPour les démarches OKR, l'avantage est concret : les équipes peuvent mesurer un résultat clé à partir des mêmes définitions gouvernées que celles déjà utilisées ailleurs dans l'organisation, au lieu de gérer des formules distinctes et de reporter régulièrement leurs résultats dans un rapport d'avancement.\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-cf35e03b1d","additionalClasses":"anchor-title anchor-title--okr-indicateurs-fiables","type":"heading2","lines":["Bâtir ses OKR sur des indicateurs fiables"],":type":"snowflake-site/components/title-v2"},"text_build-okrs-on-metrics-teams-trust_0":{"id":"text-d30a9e2d5c","text":"\u003Cp\u003ELes OKR offrent aux équipes une méthode rigoureuse pour choisir leurs priorités, définir des résultats mesurables et les réexaminer tout au long d'un cycle de planification. Le framework donne toute sa mesure lorsque cette rigueur s'étend aux données qui sous-tendent chaque résultat clé.\u003C/p\u003E\r\n\u003Cp\u003EPour une petite équipe, le système de support peut être simple. À mesure que les OKR s'étendent à plusieurs fonctions, outils analytiques et interfaces d'IA, les équipes ont besoin de définitions d'indicateurs partagées et de données à jour, qui offrent une base plus cohérente pour évaluer les progrès et décider où agir.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"},"callout_build-okrs-on-metrics-teams-trust_0":{"id":"text-f9fcf68e0f","additionalClasses":"callout callout--general","text":"\u003Cp\u003E\u003Cstrong\u003EÀ RETENIR\u003C/strong\u003E\u003C/p\u003E\n\u003Cp\u003EL'efficacité des OKR repose à la fois sur la conception des objectifs et sur la rigueur de la mesure : les équipes ont besoin de résultats porteurs de sens, de cibles claires, de revues régulières et d'indicateurs fiables qui montrent si le travail produit l'effet escompté.\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"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium"},"flexible_column_content_container_2":{"additionalClasses":"hub-sidebar","layout":"SIMPLE","id":"hub-body-aside",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"container":{"additionalClasses":"sticky-sidebar","layout":"RESPONSIVE_GRID","columnCount":12,"columnClassNames":{"text_943981956_copy_":"aem-GridColumn aem-GridColumn--default--12","text_copy":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","id":"container-41c83398d7",":type":"snowflake-site/components/container",":items":{"text_943981956_copy_":{"id":"text-0fa22339f9","additionalClasses":"eyebrow-text","text":"\u003Cp\u003EDans ce guide\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular"},"text_copy":{"id":"text-8d2ec0fb64","additionalClasses":"page-toc","text":"\u003Cul\u003E\r\n\u003Cli data-anchor=\"methode-okr\"\u003EQu’est-ce que la méthode OKR ?\u003C/li\u003E\r\n\u003Cli data-anchor=\"anatomie-okr\"\u003EL’anatomie d’un OKR : objectif et résultats clés\u003C/li\u003E\r\n\u003Cli data-anchor=\"okr-engages-ambitieux-apprentissage\"\u003ETypes d'OKR : engagés, ambitieux et d'apprentissage\u003C/li\u003E\r\n\u003Cli data-anchor=\"okr-vs-kpi\"\u003EOKR et KPI : quelle différence ?\u003C/li\u003E\r\n\u003Cli data-anchor=\"rediger-okr-efficaces\"\u003EComment rédiger des OKR efficaces ?\u003C/li\u003E\r\n\u003Cli data-anchor=\"exemples-okr\"\u003EExemples d’OKR par équipe\u003C/li\u003E\r\n\u003Cli data-anchor=\"noter-evaluer-okr\"\u003EComment noter et évaluer les OKR ?\u003C/li\u003E\r\n\u003Cli data-anchor=\"cycle-okr\"\u003ELe cycle des OKR : définition, points d’étape et rétrospectives\u003C/li\u003E\r\n\u003Cli data-anchor=\"erreurs-okr\"\u003EErreurs courantes liées aux OKR et comment les éviter\u003C/li\u003E\r\n\u003Cli data-anchor=\"suivi-resultats-cles\"\u003ESuivre les résultats clés sur des données gouvernées et à jour\u003C/li\u003E\r\n\u003Cli data-anchor=\"okr-ia\"\u003EQuel rôle pour l’IA dans la méthode OKR ?\u003C/li\u003E\r\n\u003Cli data-anchor=\"snowflake-suivi-okr\"\u003EComment Snowflake facilite le suivi des OKR sur des données gouvernées\u003C/li\u003E\r\n\u003Cli data-anchor=\"okr-indicateurs-fiables\"\u003EBâtir ses OKR sur des indicateurs fiables\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small text-color-text-05"}},":itemsOrder":["text_943981956_copy_","text_copy"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium"}},":itemsOrder":["container"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-small"},":type":"snowflake-site/components/flexible-column-container","isActiveTOC":false,"isBlogPage":false},"flexible_column_cont_1786318617":{"id":"flexible-column-container-47ad864e58","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",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"title_v2_copy":{"id":"title-v2-d70d9a7504","additionalClasses":"hub-faq__headline","type":"heading2","lines":["Foire aux questions"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"left-alignment"},"text_copy":{"id":"text-55ea1b739d","additionalClasses":"hub-faq__subheadline","text":"\u003Cp\u003ELes réponses des experts Snowflake à vos questions fréquentes sur les OKR.\u003C/p\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2_copy","text_copy"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small"},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"hub-faq-accordions",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"simple_snowflake_acc":{"id":"simple-snowflake-accordion-14fa7b19d8","additionalClasses":"seo-hub__faqs","showDivider":false,"accordionItemsList":[{"title":"Combien d’OKR une équipe doit-elle définir par trimestre ?","richText":"\u003Cp\u003EEn général, trois à cinq objectifs au maximum, avec deux à cinq résultats clés chacun. Le nombre exact varie selon l’organisation, mais l’ensemble doit rester suffisamment restreint pour que chaque objectif reçoive une attention régulière et représente une véritable priorité. Au-delà, les OKR se diluent et l’équipe perd le bénéfice de la priorisation.\u003C/p\u003E\r\n"},{"title":"Quelle est la différence entre les OKR, les objectifs SMART et le tableau de bord prospectif ?","richText":"\u003Cp\u003ECes approches sont complémentaires et portent sur des aspects différents de la gestion de la performance. La méthode SMART fournit des critères pour bien formuler un objectif : spécifique, mesurable, atteignable, réaliste et temporellement défini. Le tableau de bord prospectif (\u003Ci\u003Ebalanced scorecard\u003C/i\u003E) organise la performance stratégique selon plusieurs perspectives : finances, clients, processus internes, apprentissage. La méthode OKR associe des objectifs à des résultats clés mesurables et les fait vivre dans un cycle récurrent de planification, de suivi et d’évaluation. Les entreprises combinent parfois ces approches : un résultat clé peut, par exemple, être rédigé selon les critères SMART.\u003C/p\u003E\r\n"},{"title":"La méthode OKR convient-elle aux petites équipes et aux start-ups ?","richText":"\u003Cp\u003EOui. Les petites équipes ont souvent moins de niveaux d’objectifs à aligner et moins de systèmes qui alimentent leurs résultats clés, mais les mêmes pratiques s’appliquent : limiter le nombre d’objectifs, définir des résultats clés mesurables, désigner des responsables, faire régulièrement le point sur les progrès et s’appuyer sur une source fiable pour chaque mesure.\u003C/p\u003E\r\n"},{"title":"Comment noter un OKR ?","richText":"\u003Cp\u003ELa plupart des organisations notent chaque résultat clé sur une échelle de 0,0 à 1,0, puis en déduisent un score pour l’objectif. Pour un OKR ambitieux, un score de 0,7 est généralement considéré comme un bon résultat. Un OKR d’engagement doit, lui, atteindre 1,0.\u003C/p\u003E\r\n\u003Cp\u003E \u003C/p\u003E\r\n"},{"title":"Quelle est la différence entre un OKR et un KPI ?","richText":"\u003Cp\u003EUn KPI mesure une performance de façon continue, par exemple le taux d’attrition mensuel. Un OKR fixe un objectif à atteindre sur une période donnée, avec des résultats clés qui décrivent le changement visé : « réduire l’attrition mensuelle de 5 % à 3 % d’ici la fin du 2e trimestre ». Un KPI peut donc servir de résultat clé.\u003C/p\u003E\r\n"}],":type":"snowflake-site/components/simple-snowflake-accordion"}},":itemsOrder":["simple_snowflake_acc"]},":type":"snowflake-site/components/flexible-column-container","isActiveTOC":false,"isBlogPage":false,"appliedCssClassNames":"snowflake-flexible-column-container-gray-10-bg"},"flexible_column_cont_1467213961":{"id":"flexible-column-container-48f158baf2","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-8853b42e72",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"title_v2":{"id":"title-v2-f166cdc7f3","additionalClasses":"hub-explore-resources-header__headline","type":"heading2","lines":["Découvrir les ressources en 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