McKinsey Corporate Finance Platforms
Empowering leaders with real-time value insights for strategic decision‑making
User Testing & Validation
I started by validating early wireframes with McKinsey partners, internal analysts, and client-facing teams. The goal? Ensure clarity of the value levers and uncover intuitive use patterns.
Initial feedback revealed confusion around complex data layers—so I simplified the interface, front‑load those highest‑impact analytics, and prioritized clarity.
Prioritization & Value Discovery
By co‑creating user flows with stakeholders—especially from corporate finance, strategy, and private equity groups—we shifted from assumed use cases to real, ROI-driven value journeys.
Mapping KPIs like EBITDA, pricing, sourcing, and portfolio mix, I designed interactive dashboards that align with McKinsey’s rigorous financial frameworks
AI & Language Models Integration
At McKinsey, I introduced large language models (LLMs) into internal platforms to boost productivity and insight generation.
I designed AI-driven interfaces that let users:
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Query knowledge using natural language
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Get tailored recommendations and summaries
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Extract real-time insights from data
Collaborating with data science teams, I ensured the AI experience aligned with consultant needs — laying the groundwork for smarter, faster decision-making.
Final Product & Impact
Delivered end-to-end with cross-functional squads, the platform integrates client data with McKinsey benchmarks, enabling:
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Real-time value quantification
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Scenario simulation
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Initiative prioritization
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Ongoing performance tracking
Leaders can now identify high-impact levers, simulate outcomes, and monitor value capture—all within a unified, data-rich interface
(Mockup shown is an approximation of the platform I designed).
Design Guidelines & Component Library
I spearheaded the creation of a design system that documented layout behavior, color usage, and pattern libraries across dashboards, tables, and simulation sliders.
This framework empowered rapid iteration, cohesive growth of new modules, and smooth handoff to engineering.
