Bu komut, yapay zek\u00e2ya m\u00fc\u015fteri davran\u0131\u015f \u0131s\u0131 haritalar\u0131n\u0131 (t\u0131klama, kayd\u0131rma, fareyle \u00fczerine gelme, dikkat veya karma \u0131s\u0131 haritalar\u0131) analiz etmesini ve bunlar\u0131 kullan\u0131c\u0131lar\u0131n bir web sayfas\u0131 veya \u00fcr\u00fcn aray\u00fcz\u00fcyle nas\u0131l etkile\u015fim kurdu\u011funa dair net bilgiler haline d\u00f6n\u00fc\u015ft\u00fcrmesini emreder. Yapay zek\u00e2, \u0131s\u0131 haritas\u0131n\u0131n hangi kullan\u0131c\u0131 davran\u0131\u015f\u0131n\u0131 temsil etti\u011fini yorumlamal\u0131, y\u00fcksek etkile\u015fimli ve d\u00fc\u015f\u00fck etkile\u015fimli b\u00f6lgeleri belirlemeli, yanl\u0131\u015f t\u0131klamalar veya \u00f6l\u00fc b\u00f6lgeler gibi anormallikleri tespit etmeli ve kayd\u0131rma derinli\u011findeki d\u00fc\u015f\u00fc\u015fleri veya yanl\u0131\u015f y\u00f6nlendirilmi\u015f dikkat kal\u0131plar\u0131n\u0131 tan\u0131mal\u0131d\u0131r. Bu davran\u0131\u015flar\u0131, ger\u00e7ek davran\u0131\u015f sinyallerini g\u00fcr\u00fclt\u00fcden ay\u0131r\u0131rken, kafa kar\u0131\u015f\u0131kl\u0131\u011f\u0131, s\u00fcrt\u00fcnme, teredd\u00fct veya yo\u011fun ilgi gibi kullan\u0131c\u0131 niyetinin anlaml\u0131 a\u00e7\u0131klamalar\u0131na d\u00f6n\u00fc\u015ft\u00fcrmelidir.<\/p>\n
Model ayr\u0131ca bu davran\u0131\u015flar\u0131n kullan\u0131labilirlik, d\u00f6n\u00fc\u015f\u00fcm ve i\u015f sonu\u00e7lar\u0131n\u0131 nas\u0131l etkiledi\u011fini a\u00e7\u0131klamal\u0131, riskleri (\u00f6rne\u011fin, g\u00f6zden ka\u00e7an harekete ge\u00e7irici mesajlar, k\u00f6t\u00fc yerle\u015fim uyumu, yan\u0131lt\u0131c\u0131 olanaklar) ve iyile\u015ftirme f\u0131rsatlar\u0131n\u0131 belirlemelidir. Yapay zeka daha sonra belirli UX \u00f6nerileri sunmal\u0131d\u0131r: hiyerar\u015fiyi ayarlama, i\u00e7eri\u011fi ta\u015f\u0131ma, harekete ge\u00e7irici mesaj yerle\u015fimini iyile\u015ftirme, d\u00fczeni basitle\u015ftirme veya etkile\u015fimleri netle\u015ftirme. T\u00fcm sonu\u00e7lar renk veya g\u00f6rsel g\u00f6r\u00fcn\u00fcmden ziyade davran\u0131\u015fsal yorumlamaya dayanmal\u0131d\u0131r. Nihai \u00e7\u0131kt\u0131, UX optimizasyonu veya CRO \u00e7al\u0131\u015fmalar\u0131 i\u00e7in uygun yap\u0131land\u0131r\u0131lm\u0131\u015f bir format\u0131 (ba\u011flam, kal\u0131plar, yorumlama, riskler, \u00f6neriler) takip eder.<\/p>","protected":false},"excerpt":{"rendered":"
This prompt instructs an AI to analyze customer-behavior heatmaps (click, scroll, hover, attention, or blended heatmaps) and convert them into clear insights about how users interact with a webpage or product interface. The AI must interpret what user behavior the heatmap represents, identify high-engagement vs low-engagement zones, detect anomalies such as mis-clicks or dead-zones, and […]<\/p>\n","protected":false},"featured_media":25529,"comment_status":"open","ping_status":"closed","template":"","meta":[],"product_brand":[],"product_cat":[4094],"product_tag":[],"class_list":{"0":"post-26483","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-business-marketing","8":"first","9":"instock","10":"downloadable","11":"virtual","12":"product-type-simple"},"bundled_by":[],"bundle_stock_status":"instock","bundle_stock_quantity":null,"bundle_virtual":false,"bundle_layout":"","bundle_add_to_cart_form_location":"","bundle_editable_in_cart":false,"bundle_sold_individually_context":"","bundle_item_grouping":"","bundle_min_size":"","bundle_max_size":"","bundle_price":[],"bundled_items":[],"bundle_sell_ids":[],"_links":{"self":[{"href":"https:\/\/logic-vault.com\/tr\/wp-json\/wp\/v2\/product\/26483","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/logic-vault.com\/tr\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/logic-vault.com\/tr\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/logic-vault.com\/tr\/wp-json\/wp\/v2\/comments?post=26483"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/logic-vault.com\/tr\/wp-json\/wp\/v2\/media\/25529"}],"wp:attachment":[{"href":"https:\/\/logic-vault.com\/tr\/wp-json\/wp\/v2\/media?parent=26483"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/logic-vault.com\/tr\/wp-json\/wp\/v2\/product_brand?post=26483"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/logic-vault.com\/tr\/wp-json\/wp\/v2\/product_cat?post=26483"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/logic-vault.com\/tr\/wp-json\/wp\/v2\/product_tag?post=26483"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}