{"id":40359,"date":"2022-04-08T17:57:31","date_gmt":"2022-04-08T16:57:31","guid":{"rendered":"https:\/\/developer.kore.ai\/v9-2\/?p=40359"},"modified":"2022-04-12T16:10:28","modified_gmt":"2022-04-12T15:10:28","slug":"conversations-dashboard","status":"publish","type":"post","link":"https:\/\/developer.kore.ai\/v9-2\/docs\/bots\/analyzing-your-bot\/conversations-dashboard\/","title":{"rendered":"Conversations Dashboard"},"content":{"rendered":"<section class=\"l-section wpb_row height_auto\"><div class=\"l-section-h i-cf\"><div class=\"g-cols vc_row type_default valign_top\"><div class=\"vc_col-sm-12 wpb_column vc_column_container\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\r\n\t<div class=\"wpb_text_column \">\r\n\t\t<div class=\"wpb_wrapper\">\r\n\t\t\t<p><span style=\"font-weight: 400;\">Once you have implemented a virtual assistant, it is imperative to be aware of the virtual assistant\u2019s benefits and capabilities by constantly measuring its performance. This can only be done by knowing the key virtual assistant metrics, which is an important aspect and a decisive factor for the business requirement.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The Conversations Dashboard is one such dashboard under analytics that provides insights into the usage and containment of the conversation sessions. <\/span><span style=\"font-weight: 400;\">It focuses on whether the calls were successfully answered by the VA, landed with agents or were incomplete.<\/span><span style=\"font-weight: 400;\">You can view many other metrics like conversation sessions trend, conversation path analysis, session distribution by channel, VA\u2019s engagement, etc with the breakup of self-service, drop-off, and agent transfer sessions.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">To navigate to the Conversations Dashboard you need to click on <\/span><b>Analyze <\/b><span style=\"font-weight: 400;\">tab on the top menu and click on <\/span><b>Conversations Dashboard<\/b><span style=\"font-weight: 400;\"> as shown in the figure below:<\/span\n\n\n<img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/kore-wordpress.s3.us-east-2.amazonaws.com\/developer.kore.ai\/v9-2\/wp-content\/uploads\/sites\/26\/20220408181844\/conversation_dashboard.png\" alt=\"\" width=\"800\" height=\"541\" class=\"alignnone size-medium wp-image-40369\" \/><\/p>\n<p><b>Note<\/b><span style=\"font-weight: 400;\">:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The Conversations Dashboard is only available post 9.2 release, i.e post-April 09, 2022.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Usage Metrics and Containment Metrics will be deprecated in future releases.<\/span><\/li>\n<\/ul>\n\r\n\t\t<\/div>\r\n\t<\/div>\r\n<\/div><\/div><\/div><\/div><\/div><\/section><section class=\"l-section wpb_row height_auto\"><div class=\"l-section-h i-cf\"><div class=\"g-cols vc_row type_default valign_top\"><div class=\"vc_col-sm-12 wpb_column vc_column_container\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><div class=\"w-separator size_medium\"><\/div>\r\n\t<div class=\"wpb_text_column \">\r\n\t\t<div class=\"wpb_wrapper\">\r\n\t\t\t<p><span style=\"font-weight: 400;\">The Conversations Dashboard is categorized into 4 categories based on the conversation behavior.<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Conversation_Session\"><span style=\"font-weight: 400;\">Conversation Session<\/span><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Conversation Sessions displays the total number of conversations between the virtual assistant and an user in a specific period of time. The session starts when a user sends a message and ends when the user indicates that the problem is solved, abandons the chat, or reaches the agent transfer node.\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Self-service\"><span style=\"font-weight: 400;\">Self-service<\/span><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Self-service sessions refer to the conversations that are contained by the virtual assistant. The <\/span><b>Self-service rate<\/b><span style=\"font-weight: 400;\"> widget displays the percentage and total number of self-service conversations. It also displays the percentage increase or decrease in the self-service conversations from the last selected period. For example: if the user selects past 24 hours data then the widget will display the percentage and total conversation sessions that have been contained in the past 24 hours. Based on your selection the widget will also display the rise or drop in percentage of conversation sessions from its previous 24 hours.\u00a0<\/span><\/p>\n<p><b>Note<\/b><span style=\"font-weight: 400;\">:\u00a0 Any ongoing conversation will be classified under Self-Service conversation.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If a dialog task reaches the <\/span><i><span style=\"font-weight: 400;\">End Of Dialog <\/span><\/i><span style=\"font-weight: 400;\">node then the platform will consider it as task completion and will categorize it as a self-service. There could be a scenario where a virtual assistant is configured with either Welcome event or an On-Connect event and there are multiple messages sent by the virtual assistant without any user\u2019s interaction. In this case the platform will consider this task to be contained and increase the self-service count.<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Drop-off\"><span style=\"font-weight: 400;\">Drop-off<\/span><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">A drop-off session refers to a conversation session where the user abandons the conversation without completing the task. Below are a few scenarios where the conversations can lead to a drop-off:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">An user left the conversation midway without completing any task.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">The task ended as a failure<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">The last interaction\/message resulted in an \u2018intent not identified\u2019 scenario<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">No response from the assistant<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Live conversation when you abandon the assistant<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">This widget will display the percentage and the total number of drop-offs within a selected period. The widget will also display the percentage increase or decrease in the drop-off sessions from the last selected period.<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Agent_Transfer\"><span style=\"font-weight: 400;\">Agent Transfer<\/span><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">There are conversations where the users are unable to fulfill the tasks using the virtual assistant and the session gets transferred to Human Agent to complete the task. The platform will consider a session to be an Agent Transfer session if the dialog reaches the agent transfer node.\u00a0<\/span><\/p>\n<p><b>Note<\/b><span style=\"font-weight: 400;\">: Unblu and IVR channels don&#8217;t need any Agent Transfer node to transfer the conversation to Agents.<\/span><\/p>\n\r\n\t\t<\/div>\r\n\t<\/div>\r\n<div class=\"w-separator size_medium\"><\/div>\r\n\t<div class=\"wpb_text_column \">\r\n\t\t<div class=\"wpb_wrapper\">\r\n\t\t\t<h3><span class=\"ez-toc-section\" id=\"Metrics_Table\">Metrics Table<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Refer to this table for the list of widgets that are present across each categories in the Conversation Dashboard:<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Metric<\/b><\/td>\n<td><b>Description<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Conversation Session Trend<\/span><\/td>\n<td>\n<p><span style=\"font-weight: 400;\">A line chart which displays the conversation session over a period of time.<\/span><\/p>\n<p><b>Conversation Session<\/b><span style=\"font-weight: 400;\">: Displays self-service, drop-off and agent transfer session over a period of time.<\/span><\/p>\n<p><b>Self-Service<\/b><span style=\"font-weight: 400;\">: Displays self-service versus total conversation line chart over a period of time.<\/span><\/p>\n<p><b>Drop-Off<\/b><span style=\"font-weight: 400;\">: Displays drop off versus total conversation line chart over a period of time.<\/span><\/p>\n<p><b>Agent Transfer<\/b><span style=\"font-weight: 400;\">: Displays agent transfer versus total conversation line chart over a period of time.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Message Trend<\/span><\/td>\n<td>\n<p><span style=\"font-weight: 400;\">A line chart which displays the total number of messages sent by the virtual assistant versus total number of messages received in the VA over a time period.\u00a0<\/span><\/p>\n<p><b>Note<\/b><span style=\"font-weight: 400;\">: This metric is available for the Conversation Session widget.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Most Active Hours<\/span><\/td>\n<td>\n<p><span style=\"font-weight: 400;\">A bar chart which displays the total number of conversations sessions.<\/span><\/p>\n<p><b>Conversation Session<\/b><span style=\"font-weight: 400;\">: Displays total number of hours for self-service, drop-off and agent transfer sessions over a period of time.<\/span><\/p>\n<p><b>Self-Service<\/b><span style=\"font-weight: 400;\">: Displays total number of hours for self-service sessions distributed hourly.<\/span><\/p>\n<p><b>Drop-off:<\/b><span style=\"font-weight: 400;\"> Displays total number of hours for drop-off sessions distributed hourly.<\/span><\/p>\n<p><b>Agent Transfer<\/b><span style=\"font-weight: 400;\">: Displays total number of hours for agent transfer sessions distributed hourly.\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Engagement Analysis<\/span><\/td>\n<td><span style=\"font-weight: 400;\">An interactive bar chart that allows you to analyze the VA\u2019s engagement based on the number of messages exchanged, conversation duration and task completion.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Conversation Path Analysis<\/span><\/td>\n<td>\n<p><span style=\"font-weight: 400;\">A table <\/span><span style=\"font-weight: 400;\">that displays all the paths that have been executed over a period of time.<\/span><\/p>\n<p><b>Conversation Session<\/b><span style=\"font-weight: 400;\">: Displays the most popular conversation path.<\/span><\/p>\n<p><b>Self-Service<\/b><span style=\"font-weight: 400;\">: Displays the <\/span><span style=\"font-weight: 400;\">conversation path that leads to self-service.<\/span><\/p>\n<p><b>Drop-off<\/b><span style=\"font-weight: 400;\">: Displays the conversation path that leads to self-service<\/span><\/p>\n<p><b>Agent Transfer<\/b><span style=\"font-weight: 400;\">: Displays the <\/span><span style=\"font-weight: 400;\">conversation path that leads to agent transfer.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Avg. Conversation per Day<\/span><\/td>\n<td>\n<p><span style=\"font-weight: 400;\">A scorecard which displays the average number of conversation sessions per day in the selected period.<\/span><\/p>\n<p><b>Formula<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Avg Conversation Per Day = Total Number of conversation \/ Number of days.<\/span><\/p>\n<p><b>Note<\/b><span style=\"font-weight: 400;\">: This metric is available only for the Conversation session.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Average Conversation Length<\/span><\/td>\n<td>\n<p><span style=\"font-weight: 400;\">A scorecard which displays the average duration of a conversation (in Mins).\u00a0<\/span><\/p>\n<p><b>Formula<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Average Conversation Length = Total conversation length \/ Total number of conversations.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">User may apply filter on Session Status and in such cases the calculation is mentioned as below:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Conversation Length (for completed conversations) = Conversation End timestamp &#8211; Conversation Start timestamp.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Conversation Length (for ongoing conversations) = Dashboard Load timestamp &#8211; Conversation Start timestamp.<\/span><\/p>\n<p><b>Note<\/b><span style=\"font-weight: 400;\">: This metric is available only for the Conversation session.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Average Conversation Per User<\/span><\/td>\n<td>\n<p><span style=\"font-weight: 400;\">A score card which displays the average number of conversations by user.<\/span><\/p>\n<p><b>Formula<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Average Conversation Per User = Total number of conversation \/ Total number of users.<\/span><\/p>\n<p><b>Note<\/b><span style=\"font-weight: 400;\">: This metric is available only for the Conversation session.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Total\u00a0 Messages<\/span><\/td>\n<td>\n<p><span style=\"font-weight: 400;\">A score card which displays the total number of messages received from the user and sent by the virtual assistant.\u00a0<\/span><\/p>\n<p><b>Note<\/b><span style=\"font-weight: 400;\">: This metric is available only for the Conversation session.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Average Messages Per Session<\/span><\/td>\n<td>\n<p><span style=\"font-weight: 400;\">A score card which displays the average number of messages per session.<\/span><\/p>\n<p><b>Formula<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Average Message Per Session = Total number of messages \/ Total number of sessions during the timeframe.<\/span><\/p>\n<p><b>Note<\/b><span style=\"font-weight: 400;\">: This metric is available only for the Conversation session.<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Session Distributed by Channel<\/span><\/td>\n<td>\n<p><span style=\"font-weight: 400;\">A table which displays the number of sessions distributed across all the channels in a timeframe.<\/span><\/p>\n<p><b>Note<\/b><span style=\"font-weight: 400;\">: This metric is available only for the Conversation session.<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\r\n\t\t<\/div>\r\n\t<\/div>\r\n<div class=\"w-separator size_medium\"><\/div>\r\n\t<div class=\"wpb_text_column \">\r\n\t\t<div class=\"wpb_wrapper\">\r\n\t\t\t<h3><span class=\"ez-toc-section\" id=\"Filter_Criteria\">Filter Criteria<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">You can filter the data based on the following parameters.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Date<\/b><span style=\"font-weight: 400;\">:\u00a0 Filtering the data based on time period in the date filter will display all the conversation sessions that have started in the selected time period. The dashboard displays the data in the local timezone. By default, the dsahboard will display past 24 hours data. <\/span><span style=\"font-weight: 400;\">. By default it is set to <\/span><i><span style=\"font-weight: 400;\">GMT<\/span><\/i><span style=\"font-weight: 400;\"> timezone. you can change it by selecting the appropriate zone. <\/span><span style=\"font-weight: 400;\">\u00a0Below are the filter criterias that could be applied as a date filter.<\/span>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><b>24 Hours<\/b><span style=\"font-weight: 400;\"> \u2013 Data aggregated during the immediately preceding 24 hours is displayed. This is the default setting.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><b>7 Days<\/b><span style=\"font-weight: 400;\"> \u2013 Data aggregated over the past seven days is displayed. The start date is from the day when you selected this filter. For example, <\/span><span style=\"font-weight: 400;\">If today&#8217;s Date is May-17-2022\u00a0 then selecting the past 7 days will display the record between May-11-2022 to May-17-2022.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><b>Custom <\/b><span style=\"font-weight: 400;\">\u2013 You can also choose a custom date range to filter the records. You need to choose the start date and end date in the calendar and click on the Select button to filter the records. You can select a maximum of 90 days duration as a filter.\u00a0 <\/span><b>Note<\/b>: The date format is MMM-DD-YYYY<\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><b>Session Type<\/b><span style=\"font-weight: 400;\">: <\/span><span style=\"font-weight: 400;\">You can filter based on the Session Type.:<\/span>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><b>Interactive sessions <\/b><span style=\"font-weight: 400;\">\u2013 conversations that include one or more messages from the user<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><b>Non-interactive sessions <\/b><span style=\"font-weight: 400;\">\u2013 conversations that do not include any message from the user<\/span><b>Note<\/b><span style=\"font-weight: 400;\">: <\/span><span style=\"font-weight: 400;\">The <\/span><i><span style=\"font-weight: 400;\">Developer Interactions<\/span><\/i><span style=\"font-weight: 400;\"> are not included in the Session Type filter.<\/span><span style=\"font-weight: 400;\">Billing session is completely different from the Conversation Session.\u00a0<\/span><\/li>\n<\/ul>\n<\/li>\n<li aria-level=\"1\"><b>Session Status: <span style=\"font-weight: 400;\">You can also filter by Session Status<\/span><\/b>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Active Sessions<\/b><span style=\"font-weight: 400;\">:These are the ongoing conversations where the users are interacting with the virtual assistant.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Closed Sessions: <\/b><span style=\"font-weight: 400;\">These <\/span><b>\u00a0<\/b><span style=\"font-weight: 400;\">are the conversations that are completed between the virtual assistant and the users<\/span><i><span style=\"font-weight: 400;\">.<\/span><\/i><span style=\"font-weight: 400;\">\u00a0 To know when a session is considered as closed, click <\/span><a href=\"https:\/\/developer.kore.ai\/v9-2\/docs\/bots\/bot-settings\/bot-sessions\/\"><span style=\"font-weight: 400;\">learn more<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/li>\n<\/ul>\n<\/li>\n<li aria-level=\"1\"><b>Tag Based: <span style=\"font-weight: 400;\">You can filter the dashboard using meta tags added at a message, user, or session level. Multiple tags can be selected under the filter criteria, an \u2018<\/span><i><span style=\"font-weight: 400;\">and<\/span><\/i><span style=\"font-weight: 400;\">\u2018 condition will be applied across multiple fields selected for filtering.\u00a0<\/span><\/b><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The following table gives the widget-wise applicability of meta tags on the dashboard.<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Widget Type<\/b><\/td>\n<td><b>Session Tags<\/b><\/td>\n<td><b>User Tags<\/b><\/td>\n<td><b>Message Tags<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Successful Tasks<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Applicable<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Applicable<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Not Applicable<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Sessions<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Applicable<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Applicable<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Not Applicable<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Messages &amp; Conversation Sessions<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Applicable<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Applicable<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Applicable for Chats<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Intent Recognized vs. Failed<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Applicable<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Applicable<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Not Applicable<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Top Tasks<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Applicable<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Applicable<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Not Applicable<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Top Channels<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Applicable<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Applicable<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Not Applicable<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Agent Transfer<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Applicable<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Applicable<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Not Applicable<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\r\n\t\t<\/div>\r\n\t<\/div>\r\n<div class=\"w-separator size_medium\"><\/div><\/div><\/div><\/div><\/div><\/div><\/section>\n","protected":false},"excerpt":{"rendered":"Once you have implemented a virtual assistant, it is imperative to be aware of the virtual assistant\u2019s benefits and capabilities by constantly measuring its performance. This can only be done by knowing the key virtual assistant metrics, which is an important aspect and a decisive factor for the business requirement. The Conversations Dashboard is one...","protected":false},"author":17,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[45],"tags":[],"class_list":["post-40359","post","type-post","status-publish","format-standard","hentry","category-analyzing-your-bot"],"_links":{"self":[{"href":"https:\/\/developer.kore.ai\/v9-2\/wp-json\/wp\/v2\/posts\/40359","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/developer.kore.ai\/v9-2\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/developer.kore.ai\/v9-2\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/developer.kore.ai\/v9-2\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/developer.kore.ai\/v9-2\/wp-json\/wp\/v2\/comments?post=40359"}],"version-history":[{"count":16,"href":"https:\/\/developer.kore.ai\/v9-2\/wp-json\/wp\/v2\/posts\/40359\/revisions"}],"predecessor-version":[{"id":40659,"href":"https:\/\/developer.kore.ai\/v9-2\/wp-json\/wp\/v2\/posts\/40359\/revisions\/40659"}],"wp:attachment":[{"href":"https:\/\/developer.kore.ai\/v9-2\/wp-json\/wp\/v2\/media?parent=40359"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/developer.kore.ai\/v9-2\/wp-json\/wp\/v2\/categories?post=40359"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/developer.kore.ai\/v9-2\/wp-json\/wp\/v2\/tags?post=40359"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}