{"id":711,"date":"2021-05-13T20:15:20","date_gmt":"2021-05-13T20:15:20","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/?post_type=pattern&p=711"},"modified":"2023-10-25T07:39:38","modified_gmt":"2023-10-25T14:39:38","slug":"g14-a-comprehensive-updates","status":"publish","type":"pattern","link":"https:\/\/www.microsoft.com\/en-us\/haxtoolkit\/pattern\/g14-a-comprehensive-updates\/","title":{"rendered":"Pattern 14A: Comprehensive updates"},"content":{"rendered":"\n\n
The system adapts as it learns over time and it needs to update its outputs without disrupting or disorienting the user.<\/p>\n\n\n\n
The system makes a controlled and deliberate comprehensive update in response to user behaviors or other additional data.<\/p>\n\n\n\n
Update system outputs in a way that permeates the whole user experience, not just an isolated part.<\/p>\n\n\n\n
Make the update in a controlled and deliberate manner by matching the scale and the rate of the change to user expectations.<\/p>\n\n\n\n
Scale<\/strong>: Balance the proportion of new, updated outputs to previous ones.<\/p>\n\n\n\n Rate<\/strong>: Control how quickly the update is reflected in the user experience. For example, the updated outputs can be released gradually or all at once, depending on user expectations and context.<\/p>\n\n\n\n Collaborate with an AI\/ML practitioner to decide how to infer user intent from user behaviors (if applicable) and to adjust the nature, scale, and rate of the update.<\/p>\n\n\n\nUser benefits<\/h4>\n\n\n\n
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Common pitfalls<\/h4>\n\n\n\n
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References<\/h4>\n\n\n\n