AI Search analytics: How to improve high average response time caused by user criteriaIssue <!-- /*NS Branding Styles*/ --> .ns-kb-css-body-editor-container { p { font-size: 12pt; font-family: Lato; color: var(--now-color--text-primary, #000000); } span { font-size: 12pt; font-family: Lato; color: var(--now-color--text-primary, #000000); } h2 { font-size: 24pt; font-family: Lato; color: var(--now-color--text-primary, black); } h3 { font-size: 18pt; font-family: Lato; color: var(--now-color--text-primary, black); } h4 { font-size: 14pt; font-family: Lato; color: var(--now-color--text-primary, black); } a { font-size: 12pt; font-family: Lato; color: var(--now-color--link-primary, #00718F); } a:hover { font-size: 12pt; color: var(--now-color--link-primary, #024F69); } a:target { font-size: 12pt; color: var(--now-color--link-primary, #032D42); } a:visited { font-size: 12pt; color: var(--now-color--link-primary, #00718f); } ul { font-size: 12pt; font-family: Lato; } li { font-size: 12pt; font-family: Lato; } img { display: ; max-width: ; width: ; height: ; } } In the AI Search Analytics dashboard, an average response time of 2 sec or less is considered a good user experience, but in some cases the response is more than 4 sec. Steps to reproduce: 1. Open the AI search analytics 2. Check the average response time graph 3. In table [sys_search_signal_event] check for the "Search Response Time(ms)" to find which keyword is taking more time 4. Check in AI search preview and search for the keyword found above to see the response time ( /ais_admin_tools ) Release<!-- /*NS Branding Styles*/ --> .ns-kb-css-body-editor-container { p { font-size: 12pt; font-family: Lato; color: var(--now-color--text-primary, #000000); } span { font-size: 12pt; font-family: Lato; color: var(--now-color--text-primary, #000000); } h2 { font-size: 24pt; font-family: Lato; color: var(--now-color--text-primary, black); } h3 { font-size: 18pt; font-family: Lato; color: var(--now-color--text-primary, black); } h4 { font-size: 14pt; font-family: Lato; color: var(--now-color--text-primary, black); } a { font-size: 12pt; font-family: Lato; color: var(--now-color--link-primary, #00718F); } a:hover { font-size: 12pt; color: var(--now-color--link-primary, #024F69); } a:target { font-size: 12pt; color: var(--now-color--link-primary, #032D42); } a:visited { font-size: 12pt; color: var(--now-color--link-primary, #00718f); } ul { font-size: 12pt; font-family: Lato; } li { font-size: 12pt; font-family: Lato; } img { display: ; max-width: ; width: ; height: ; } } Tokyo and later Cause<!-- /*NS Branding Styles*/ --> .ns-kb-css-body-editor-container { p { font-size: 12pt; font-family: Lato; color: var(--now-color--text-primary, #000000); } span { font-size: 12pt; font-family: Lato; color: var(--now-color--text-primary, #000000); } h2 { font-size: 24pt; font-family: Lato; color: var(--now-color--text-primary, black); } h3 { font-size: 18pt; font-family: Lato; color: var(--now-color--text-primary, black); } h4 { font-size: 14pt; font-family: Lato; color: var(--now-color--text-primary, black); } a { font-size: 12pt; font-family: Lato; color: var(--now-color--link-primary, #00718F); } a:hover { font-size: 12pt; color: var(--now-color--link-primary, #024F69); } a:target { font-size: 12pt; color: var(--now-color--link-primary, #032D42); } a:visited { font-size: 12pt; color: var(--now-color--link-primary, #00718f); } ul { font-size: 12pt; font-family: Lato; } li { font-size: 12pt; font-family: Lato; } img { display: ; max-width: ; width: ; height: ; } } The Scripted User Criteria are cached for each user for each session, hence the first search results are taking more than 5 seconds, but subsequent searches are taking less than 2 seconds. Non-scripted User Criteria are in global cache, thus not impacting performance. However AIS will still process inactive User Criteria. Resolution<!-- /*NS Branding Styles*/ --> .ns-kb-css-body-editor-container { p { font-size: 12pt; font-family: Lato; color: var(--now-color--text-primary, #000000); } span { font-size: 12pt; font-family: Lato; color: var(--now-color--text-primary, #000000); } h2 { font-size: 24pt; font-family: Lato; color: var(--now-color--text-primary, black); } h3 { font-size: 18pt; font-family: Lato; color: var(--now-color--text-primary, black); } h4 { font-size: 14pt; font-family: Lato; color: var(--now-color--text-primary, black); } a { font-size: 12pt; font-family: Lato; color: var(--now-color--link-primary, #00718F); } a:hover { font-size: 12pt; color: var(--now-color--link-primary, #024F69); } a:target { font-size: 12pt; color: var(--now-color--link-primary, #032D42); } a:visited { font-size: 12pt; color: var(--now-color--link-primary, #00718f); } ul { font-size: 12pt; font-family: Lato; } li { font-size: 12pt; font-family: Lato; } img { display: ; max-width: ; width: ; height: ; } } Two possible ways for average response time improvement:- Short-Term fix:Delete the inactive User Criteria after taking a back up of the records (Export XML):/user_criteria_list.do?sysparm_query=active%3DFalse&sysparm_view=- Long-Term fix:Convert Scripted User Criteria to non-scripted User Criteria for better performance and improve the ART:/user_criteria_list.do?sysparm_query=script!%3DNULL&sysparm_view= Related Links<!-- /*NS Branding Styles*/ --> .ns-kb-css-body-editor-container { p { font-size: 12pt; font-family: Lato; color: var(--now-color--text-primary, #000000); } span { font-size: 12pt; font-family: Lato; color: var(--now-color--text-primary, #000000); } h2 { font-size: 24pt; font-family: Lato; color: var(--now-color--text-primary, black); } h3 { font-size: 18pt; font-family: Lato; color: var(--now-color--text-primary, black); } h4 { font-size: 14pt; font-family: Lato; color: var(--now-color--text-primary, black); } a { font-size: 12pt; font-family: Lato; color: var(--now-color--link-primary, #00718F); } a:hover { font-size: 12pt; color: var(--now-color--link-primary, #024F69); } a:target { font-size: 12pt; color: var(--now-color--link-primary, #032D42); } a:visited { font-size: 12pt; color: var(--now-color--link-primary, #00718f); } ul { font-size: 12pt; font-family: Lato; } li { font-size: 12pt; font-family: Lato; } img { display: ; max-width: ; width: ; height: ; } } Related FAQs 1.Q: Is there any reason AIS processes inactive scripts? This does not seem to be right given the performance impacts we are seeing. We would prefer not doing any deletions in our system and assume inactive should take care of these scenarios.A: As per PRB1636952 - Inactive User Criteria are still honoured in AI Search Portal, by design in the m2m relation with the catalog item, AI Search takes into consideration User Criteria even if inactive. The inactive user criteria do not need to be deleted, but the m2m relations on the User Criteria records will need to be removed, so not to be invoked in AIS and the Service Portal.2.Q: We can not switch to non-scripted user criteria as there is a reason why they were scripted.A: You would need to review the Scripted User Criteria and see if you can switch to Non-Scripted. If not, then you can try amalgamate the Scripted User Criteria to reduce the number.3.Q: We see we have several records under scripted user criteria, and we open the to tables [sc_cat_item_user_criteria_mtom] and [sc_cat_item_user_criteria_no_mtom] to check if all of those records are in use. Are these the only two tables that we need to look for usage or are are missing any other areas?A: These are the main responsible tables. However review the below documents related to user criteria:https://www.servicenow.com/community/now-platform-blog/a-deep-dive-to-user-criteria/ba-p/2281285https://docs.servicenow.com/en-US/bundle/utah-servicenow-platform/page/product/service-catalog-management/task/t_AppUserCritItemsCat.htmlhttps://docs.servicenow.com/bundle/utah-servicenow-platform/page/product/service-catalog-management/task/t_CreateAUserCriteriaRecord.htmlhttps://docs.servicenow.com/en-US/bundle/utah-employee-service-management/page/product/wsd-reservation-management/task/create-user-criteria.html