CritiqueCrew: Orchestrating Multi-Perspective Conversational Design Critique

Fuente: arXiv
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Auteurs principaux: Chen, Xiaojiao, Zhou, Jiahuan, Shu, Yunfeng, Wang, Ruihan, Liu, Qinghua
Format: Preprint
Publié: 2026
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author Chen, Xiaojiao
Zhou, Jiahuan
Shu, Yunfeng
Wang, Ruihan
Liu, Qinghua
author_facet Chen, Xiaojiao
Zhou, Jiahuan
Shu, Yunfeng
Wang, Ruihan
Liu, Qinghua
contents UI designers face growing cognitive load and cross functional friction at the intersection of user needs, business goals, and engineering constraints. Existing automated tools often deliver static "problem lists", lacking actionable repair paths and disrupting creative flow. We introduce CritiqueCrew, a Figma tool that supports designers through conversational critique. CritiqueCrew generates multi-faceted insights by implementing a multi-perspective orchestration of distinct expert roles (UX, PM, Engineer). It translates abstract critiques into concrete actions via in context feedback and interactive remediation. Across two independent controlled studies (Total N=48), CritiqueCrew significantly improved both design quality and subjective experience compared to a traditional static checker. Furthermore, our results confirm that the structured orchestration of expert roles-rather than a unified model-is key to fostering trust and creativity support. Our work demonstrates how AI can shift from a "problem auditor" to a "solution co-creator" by integrating multi-perspective dialogue with interactive repair, offering design implications for future creative tools.
format Preprint
id arxiv_https___arxiv_org_abs_2602_01796
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle CritiqueCrew: Orchestrating Multi-Perspective Conversational Design Critique
Chen, Xiaojiao
Zhou, Jiahuan
Shu, Yunfeng
Wang, Ruihan
Liu, Qinghua
Human-Computer Interaction
UI designers face growing cognitive load and cross functional friction at the intersection of user needs, business goals, and engineering constraints. Existing automated tools often deliver static "problem lists", lacking actionable repair paths and disrupting creative flow. We introduce CritiqueCrew, a Figma tool that supports designers through conversational critique. CritiqueCrew generates multi-faceted insights by implementing a multi-perspective orchestration of distinct expert roles (UX, PM, Engineer). It translates abstract critiques into concrete actions via in context feedback and interactive remediation. Across two independent controlled studies (Total N=48), CritiqueCrew significantly improved both design quality and subjective experience compared to a traditional static checker. Furthermore, our results confirm that the structured orchestration of expert roles-rather than a unified model-is key to fostering trust and creativity support. Our work demonstrates how AI can shift from a "problem auditor" to a "solution co-creator" by integrating multi-perspective dialogue with interactive repair, offering design implications for future creative tools.
title CritiqueCrew: Orchestrating Multi-Perspective Conversational Design Critique
topic Human-Computer Interaction
url https://arxiv.org/abs/2602.01796