{"id":2236,"date":"2026-04-01T20:00:00","date_gmt":"2026-04-02T00:00:00","guid":{"rendered":"https:\/\/www.chiawei.com\/?post_type=chiawei_portfolio&#038;p=2236"},"modified":"2026-04-28T14:37:42","modified_gmt":"2026-04-28T18:37:42","slug":"making-ai-chat-ux-decisions-under-uncertainty","status":"publish","type":"chiawei_portfolio","link":"https:\/\/www.chiawei.com\/zh\/portfolio\/reframing-ai-assisted-clinical-workflows-for-decision-clarity\/making-ai-chat-ux-decisions-under-uncertainty\/","title":{"rendered":"Making AI Chat UX Decisions Under Uncertainty"},"content":{"rendered":"\n<html><head>\n<\/head><body><h2 class=\"wp-block-heading\">Challenge<\/h2>\n\n\n\n<p>When introducing conversational LLM capabilities for the MVP, the team diverged on how AI should enter the product: through more flexible, distributed interactions, or a more centralized and stable chat structure. The disagreement came from high-impact stakeholders with conflicting expectations, and remained at the level of preference and expression, making it difficult to converge.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Decision<\/h2>\n\n\n\n<p>Reframed the disagreement from preference into comparable trade-offs, making each option&rsquo;s position and applicable scenarios explicit. With no usage data available, prioritized a stable and observable entry point to learn how users actually engage with AI, including what they ask and how they act, so real needs could be learned from use rather than over-designed based on assumptions.<\/p>\n\n\n\n<figure class=\"figure wp-block-image size-full\"><div class=\"frame\" style=\"max-width:3200px; max-height:1800px;\"><div class=\"fill\" style=\"padding-bottom: 56.25%;\"><\/div><div class=\"image\"><div class=\"small-image\"><img decoding=\"async\" id=\"small\" class=\"blurry loaded\" src=\"https:\/\/media.chiawei.com\/images\/ai-chat-decision-space-32x18.jpg\"><\/div><img width=\"3200\" height=\"1800\" id=\"large\" class=\"wp-image-2237\" src=\"https:\/\/media.chiawei.com\/images\/ai-chat-decision-space.jpg\" srcset=\"https:\/\/media.chiawei.com\/images\/ai-chat-decision-space.jpg 3200w, https:\/\/media.chiawei.com\/images\/ai-chat-decision-space-1360x765.jpg 1360w, https:\/\/media.chiawei.com\/images\/ai-chat-decision-space-32x18.jpg 32w, https:\/\/media.chiawei.com\/images\/ai-chat-decision-space-2048x1152.jpg 2048w\" sizes=\"auto, (max-width: 3200px) 100vw, 3200px\" data-action=\"zoom\" data-analytics-event=\"Media\" data-analytics-category=\"Images\" data-analytics-action=\"Zoom\" data-analytics-label=\"2237: \" decoding=\"async\" loading=\"lazy\" alt=\"Comparison of AI chat interaction patterns and entry points mapped across structure, adaptability, and discoverability dimensions.\" data-processed=\"true\"><\/div><\/div><figcaption class=\"wp-element-caption\">A shared decision space that made interaction trade-offs explicit across structure, discoverability, and adaptability.<\/figcaption><\/figure>\n\n\n\n<figure class=\"figure wp-block-image size-full\"><div class=\"frame\" style=\"max-width:3200px; max-height:1800px;\"><div class=\"fill\" style=\"padding-bottom: 56.25%;\"><\/div><div class=\"image\"><div class=\"small-image\"><img decoding=\"async\" id=\"small\" class=\"blurry loaded\" src=\"https:\/\/media.chiawei.com\/images\/trade-offs-under-mvp-constraints-32x18.jpg\"><\/div><img width=\"3200\" height=\"1800\" id=\"large\" class=\"wp-image-2238\" src=\"https:\/\/media.chiawei.com\/images\/trade-offs-under-mvp-constraints.jpg\" srcset=\"https:\/\/media.chiawei.com\/images\/trade-offs-under-mvp-constraints.jpg 3200w, https:\/\/media.chiawei.com\/images\/trade-offs-under-mvp-constraints-1360x765.jpg 1360w, https:\/\/media.chiawei.com\/images\/trade-offs-under-mvp-constraints-32x18.jpg 32w, https:\/\/media.chiawei.com\/images\/trade-offs-under-mvp-constraints-2048x1152.jpg 2048w\" sizes=\"auto, (max-width: 3200px) 100vw, 3200px\" data-action=\"zoom\" data-analytics-event=\"Media\" data-analytics-category=\"Images\" data-analytics-action=\"Zoom\" data-analytics-label=\"2238: \" decoding=\"async\" loading=\"lazy\" alt=\"Two evaluation tables compare AI chat box and entry point options by type, pros, cons, scenario, example, and cost impact, with selected MVP choices marked.\" data-processed=\"true\"><\/div><\/div><figcaption class=\"wp-element-caption\">Turned preference into an MVP-ready decision by comparing trade-offs across use, visibility, and cost.<\/figcaption><\/figure>\n\n","protected":false},"excerpt":{"rendered":"<p>Without real usage data, early assumptions about user behavior are often wrong. Start focused before scaling.<\/p>\n","protected":false},"featured_media":0,"parent":1999,"menu_order":0,"template":"","format":"standard","meta":{"footnotes":""},"projects":[78],"content-types":[12],"career":[77,76],"educational-stages":[],"locations":[7,6,5],"location-types":[],"areas":[],"skills":[82,83],"class_list":["post-2236","chiawei_portfolio","type-chiawei_portfolio","status-publish","format-standard","hentry","projects-clinical-trial-design-platform","content-types-case-study","career-aira-health-inc","career-optional-practical-training-opt","locations-boston","locations-massachusetts","locations-united-states","skills-decision-making","skills-trade-offs","col"],"_links":{"self":[{"href":"https:\/\/www.chiawei.com\/zh\/wp-json\/wp\/v2\/portfolio\/2236","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.chiawei.com\/zh\/wp-json\/wp\/v2\/portfolio"}],"about":[{"href":"https:\/\/www.chiawei.com\/zh\/wp-json\/wp\/v2\/types\/chiawei_portfolio"}],"version-history":[{"count":1,"href":"https:\/\/www.chiawei.com\/zh\/wp-json\/wp\/v2\/portfolio\/2236\/revisions"}],"predecessor-version":[{"id":2239,"href":"https:\/\/www.chiawei.com\/zh\/wp-json\/wp\/v2\/portfolio\/2236\/revisions\/2239"}],"up":[{"embeddable":true,"href":"https:\/\/www.chiawei.com\/zh\/wp-json\/wp\/v2\/portfolio\/1999"}],"wp:attachment":[{"href":"https:\/\/www.chiawei.com\/zh\/wp-json\/wp\/v2\/media?parent=2236"}],"wp:term":[{"taxonomy":"projects","embeddable":true,"href":"https:\/\/www.chiawei.com\/zh\/wp-json\/wp\/v2\/projects?post=2236"},{"taxonomy":"content-types","embeddable":true,"href":"https:\/\/www.chiawei.com\/zh\/wp-json\/wp\/v2\/content-types?post=2236"},{"taxonomy":"career","embeddable":true,"href":"https:\/\/www.chiawei.com\/zh\/wp-json\/wp\/v2\/career?post=2236"},{"taxonomy":"educational-stages","embeddable":true,"href":"https:\/\/www.chiawei.com\/zh\/wp-json\/wp\/v2\/educational-stages?post=2236"},{"taxonomy":"locations","embeddable":true,"href":"https:\/\/www.chiawei.com\/zh\/wp-json\/wp\/v2\/locations?post=2236"},{"taxonomy":"location-types","embeddable":true,"href":"https:\/\/www.chiawei.com\/zh\/wp-json\/wp\/v2\/location-types?post=2236"},{"taxonomy":"areas","embeddable":true,"href":"https:\/\/www.chiawei.com\/zh\/wp-json\/wp\/v2\/areas?post=2236"},{"taxonomy":"skills","embeddable":true,"href":"https:\/\/www.chiawei.com\/zh\/wp-json\/wp\/v2\/skills?post=2236"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}