Life Sciences · Analytics · Decision Support
SalesIQ — Segmentation & Targeting
Domain
Life Sciences · Analytics
Core challenge
Segmentation depended on manual checks, brittle joins and fragile formulas that hid problems until after decisions were circulated.
Role
Product Designer — workflow, IA and interaction design
Key contribution
A staged workflow connecting validation, business rules and analytical output to a traceable targeting decision.
Impact
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— Validation made an explicit gate
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— Output traceable to rules and data
AI · Human-in-the-loop · Explainability
Agentic AI
Domain
AI · Life Sciences
Core challenge
Insight writing dominated analytical effort, but AI output cannot be published without human understanding and accountability.
Role
Product Designer — AI UX, workflow and interaction design
Key contribution
A human-in-the-loop agent workflow with evidence, editability, approval and exception handling.
Impact
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— ~5 days/market existing process, ~60–70% effort on insight writing
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— ~4 hours target for the redesigned AI-assisted workflow
Marketing Analytics · Modeling · Optimization
MIQ — Marketing Intelligence
Domain
Analytics · Life Sciences
Core challenge
Marketing model output was accurate but not interpretable by the people making investment decisions.
Role
Product Designer — experience design around analytical models
Key contribution
A decision-shaped experience across ROI, propensity, segmentation and portfolio optimization.
Impact
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— Model output reframed as decision support
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— Assumptions surfaced with results
