{"id":1162665,"date":"2026-02-20T04:10:42","date_gmt":"2026-02-20T12:10:42","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=1162665"},"modified":"2026-02-24T07:32:42","modified_gmt":"2026-02-24T15:32:42","slug":"nudging-attention-to-workplace-meeting-goals-a-large-scale-preregistered-field-experiment","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/nudging-attention-to-workplace-meeting-goals-a-large-scale-preregistered-field-experiment\/","title":{"rendered":"Nudging Attention to Workplace Meeting Goals: A Large-Scale, Preregistered Field Experiment"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1162671\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/02\/chi2026studyoverview-300x169.png\" alt=\"Overview of study.\" width=\"1102\" height=\"621\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/02\/chi2026studyoverview-300x169.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/02\/chi2026studyoverview-1024x576.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/02\/chi2026studyoverview-768x432.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/02\/chi2026studyoverview-1066x600.png 1066w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/02\/chi2026studyoverview-655x368.png 655w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/02\/chi2026studyoverview-240x135.png 240w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/02\/chi2026studyoverview-640x360.png 640w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/02\/chi2026studyoverview-960x540.png 960w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2026\/02\/chi2026studyoverview.png 1280w\" sizes=\"auto, (max-width: 1102px) 100vw, 1102px\" \/><\/p>\n<p>Ineffective meetings are pervasive. Thinking ahead explicitly about meeting goals may improve effectiveness, but current collaboration platforms lack integrated support. We tested a lightweight goal-reflection intervention in a preregistered field experiment in a global technology company (361 employees, 7196 meetings). Over two weeks, workers in the treatment group completed brief pre-meeting surveys in their collaboration platform, nudging attention to goals for upcoming meetings. To measure impact, both treatment and control groups completed post-meeting surveys about meeting effectiveness. While the intervention impact on meeting effectiveness was not statistically significant, mixed-methods findings revealed improvements in self-reported awareness and behaviour across both groups, with post-meeting surveys unintentionally functioning as an intervention. We highlight the promise of supporting goal reflection, while noting challenges of evaluating and supporting workplace reflection for meetings, including workflow and collaboration norms, and attitudes and behaviours around meeting preparation. We conclude with implications for designing technological support for meeting intentionality<\/p>\n<hr \/>\n<div class=\"excerpt\">\n<p><strong>RELATED RESEARCH<\/strong><\/p>\n<p>Formative studies<\/p>\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/mental-models-of-meeting-goals-supporting-intentionality-in-meeting-technologies\/\">Mental Models of Meeting Goals: Supporting Intentionality in Meeting Technology<\/a><\/li>\n<\/ul>\n<p>Prototype studies<\/p>\n<ul class=\"wp-block-list\">\n<li>Before meetings:\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/what-does-success-look-like-catalyzing-meeting-intentionality-with-ai-assisted-prospective-reflection\/\">What Does Success Look Like? Catalyzing Meeting Intentionality with AI-Assisted Prospective Reflection<\/a><\/li>\n<li>Before and during meetings:\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/the-coexplorer-technology-probe-a-generative-ai-powered-adaptive-interface-to-support-intentionality-in-planning-and-running-video-meetings\/\">The CoExplorer Technology Probe: A Generative AI-Powered Adaptive Interface to Support Intentionality in Planning and Running Video Meetings<\/a><\/li>\n<li>During meetings:\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/are-we-on-track-ai-assisted-active-and-passive-goal-reflection-during-meetings\/\">Are We On Track? AI-Assisted Active and Passive Goal Reflection During Meetings \u2013 Microsoft Research<\/a><\/li>\n<li>Between meetings:\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/designing-interfaces-that-support-temporal-work-across-meetings-with-generative-ai\/\">Designing Interfaces that Support Temporal Work Across Meetings with Generative AI<\/a><\/li>\n<\/ul>\n<p><span id=\"label-external-link\" class=\"sr-only\" aria-hidden=\"true\">Opens in a new tab<\/span><\/p>\n<\/div>\n<div class=\"publication-copyright mt-4\">\n<p class=\"small text-gray-475\">Lev Tankelevitch, Ava Elizabeth Scott, Nagaravind Challakere, Payod Panda, and Sean Rintel. 2026. Nudging Attention to Workplace Meeting Goals: A Large-Scale, Preregistered Field Experiment, In CHI Conference on Human Factors in Computing Systems (CHI \u201926), April 13-17, 2026, Barcelona, Spain. ACM,\u00a0New York, NY, USA, 27 pages. https:\/\/doi.org\/10.1145\/3772318.3791199<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Ineffective meetings are pervasive. Thinking ahead explicitly about meeting goals may improve effectiveness, but current collaboration platforms lack integrated support. We tested a lightweight goal-reflection intervention in a preregistered field experiment in a global technology company (361 employees, 7196 meetings). Over two weeks, workers in the treatment group completed brief pre-meeting surveys in their collaboration [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"ACM","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"CHI 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Though useful and powerful, these systems may affect how we think, learn, build&hellip;","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/1053711"}]}},{"ID":717493,"post_title":"The New Future of Work","post_name":"the-new-future-of-work","post_type":"msr-project","post_date":"2021-01-25 07:40:51","post_modified":"2026-02-23 14:40:27","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/the-new-future-of-work\/","post_excerpt":"This cross-company initiative is dedicated to creating solutions for a future of work that is meaningful, productive, and equitable. The focus has shifted from remote to hybrid to the role of artificial intelligence in changing work practices.","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/717493"}]}},{"ID":483294,"post_title":"Intentional Meetings","post_name":"intentional-meetings","post_type":"msr-project","post_date":"2020-02-13 04:03:50","post_modified":"2026-03-24 16:30:04","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/intentional-meetings\/","post_excerpt":"Exploring how to make remote and hybrid telepresence meetings engaging, effective, adaptive, and inclusive.","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/483294"}]}}]},"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/1162665","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-research-item"}],"version-history":[{"count":6,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/1162665\/revisions"}],"predecessor-version":[{"id":1162793,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-item\/1162665\/revisions\/1162793"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=1162665"}],"wp:term":[{"taxonomy":"msr-research-highlight","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-highlight?post=1162665"},{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=1162665"},{"taxonomy":"msr-publication-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-publication-type?post=1162665"},{"taxonomy":"msr-publisher","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-publisher?post=1162665"},{"taxonomy":"msr-focus-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-focus-area?post=1162665"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=1162665"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=1162665"},{"taxonomy":"msr-field-of-study","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-field-of-study?post=1162665"},{"taxonomy":"msr-conference","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-conference?post=1162665"},{"taxonomy":"msr-journal","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-journal?post=1162665"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=1162665"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=1162665"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}