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Overview
Problem AI implementation was fragmented across GE Healthcare products: AI was thought of as headless service / API only, both by AI Platform and implementing teams. 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 UX consistency mission. Patterns currently being adopted by 23+ product programs. Patterns & process won dmi Design Value Award in 2020. |
Goals
Drive a shared understanding with AI product leadership that coordinated implementation of UX across products creates value for the business. Activities Multiple strategy discussions with AI Platform VP Product & VP Engineering. Platform roadmap review & scoping. Outcomes Commitment to coordinate interactions with 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 Discovery research with 12 healthcare providers inside and outside the US, from 3 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 research & pattern creation to product roadmaps for AI.
Activities
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 research & pattern creation to product roadmaps for AI.
Activities
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 Create initial pattern document with visualizations, interactivity, tone & voice; based on initial research, workshop input, and stakeholder feedback. 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 Create icon working groups, visualization working group, conduct icon ideation workshop, and lead 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 Create final pattern document. Partner with Product management from AI Platform team to engage implementing product teams on UX. Author 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. |