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Overview
Problem The AI user experience was fragmented across GE Healthcare products: AI was thought of as headless service / API-only, both by the product teams, as well as the AI platform team. Role Director of UX. Drove strategy shift with VPs, partnership with product teams, UX design & research planning, and authored first pattern. Duration 3 months to v1 patterns. 10 months to v2 patterns. Outcome AI product leadership and roadmap aligned to a UX consistency mission. Patterns adopted by 23+ product programs. Patterns & process won dmi Design Value Award in 2020. |
Goals
Drive a shared understanding with AI product leadership, that a coordinated implementation of UX across products would create value for the business and the user. Activities Multiple strategy discussions with AI Platform VP Product & VP Engineering. Reviewed platform roadmap and scoped known projects. Outcomes Commitment to a coordinate Product & UX planning with implementing product teams. Alignment of product and UX resources to goal. |
Goals
1) Generate actionable insights regarding users' current pain points, needs, & attitudes toward AI. 2) Draft interaction principles & guidelines. Activities Led AI discovery research with 12 healthcare providers in multiple regions, from 3 global healthcare institutions. Outcomes Personas, AI usage journey map, draft visualization & interaction guidance. |
Goals
1) Share discovery research & pattern concepts, 2) refine AI principles, 3) ideate & find gaps in proposed patterns, 4) align AI research & pattern creation to product roadmaps.
Activities
A UX-led three day workshop with global AI product & platform leadership and clinical product managers.
Outcomes
Final principles, pattern feedback & gaps, product AI roadmaps, and alignment on research & design priorities for AI.
1) Share discovery research & pattern concepts, 2) refine AI principles, 3) ideate & find gaps in proposed patterns, 4) align AI research & pattern creation to product roadmaps.
Activities
A UX-led three day workshop with global AI product & platform leadership and clinical product managers.
Outcomes
Final principles, pattern feedback & gaps, product AI roadmaps, and alignment on research & design priorities for AI.
Goals
1) Author pattern guidance, 2) obtain stakeholder feedback, 3) publish patterns, 4) validate & continue research. Activities Created initial pattern document with visualizations, interactions, tone & voice, based on user & stakeholder input. Plan & execute on the agreed research roadmap. Outcomes Published v1 AI patterns on eds.gehealthcare.com. Continued discovery research & validation of initial patterns. |
Goals
1) Generate visualizations, icons, and refined interactions, 2) conduct targeted research to validate. Activities Created working groups for iconography and visualizations, conducted icon ideation workshop, and led visualization research, including multiple surveys and interview sessions. Outcomes Icons, styles, visualizations, and interactions all refined & validated. |
Goals
1) Publish final patterns, 2) drive adoption with product teams, and 3) submit for awards. Activities Created final pattern document and rolled out to AI Platform and implementing product teams. Authored award submissions. Outcomes v2 patterns published on eds.gehealthcare.com. 23+ product teams adopting the interaction & visual guidelines. AI Patterns & process awarded dmi: Design Value Award in 2020. |