Designing a Talent Strategy Solution for end-to-end Talent Management by Clients
Overview of the Project
COMPANY:
Boston Consulting Group
CLIENT:
United Nations
TIMEFRAME:
2024
Product:
Talent Builder is BCG’s premium SaaS product for talent strategy and workforce planning, relied on by global enterprises.
My Role:
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Sole Senior Product Designer collaborating with Sr. PM, Product Owner, Engineers, AI Specialists and client stakeholders.
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Owned research, concepting, interaction design, visual design, prototyping and testing.
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Facilitated workshops with global HR/talent leaders to align features with compliance, performance and benefits data needs.
​​​Context:
Used by major organisations including the United Nations & big HealthTechs, Talent Builder helps HR and business leaders forecast, plan and optimise talent at scale. My work transformed the tool from a consultant-driven platform into a self-serve, HRIS-like experience - combining workforce planning, skills taxonomy, compliance and performance insights.
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BCG set a goal to elevate Talent Builder into a self-reliant, AI-powered platform that clients could use independently.
Challenge:​
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Integrate Generative AI into a complex workforce planning tool to make insights actionable and transparent.
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Enhance and modernize UX to reduce consultant dependency and drive client self-service.
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Customize Talent Builder for a high-profile clients with unique workflows and governance structures.​
Goal:​
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Transform Talent Builder into a self-sufficient, AI-powered SaaS product.
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Streamline talent strategy processes like supply-demand analysis, skill gap ratios, job readiness, workforce planning/optimisation.
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Identify opportunities to use generative AI in the user flow to automate manual tasks.
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Deliver a cohesive, accessible, and scalable design system for global clients.
Problem -> Ideation -> A number of scrappy wireframes
My Approach:​
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Synthesised features & constraints:
defined AI-driven forecasting, scenario simulations, and skills-based supply-demand analysis. -
AI Integration:
worked with AI engineers to turn complex workforce & compliance data into actionable insights and skill-gap dashboards. -
Customer Journey Mapping:
mapped end-to-end talent planning flows, embedding AI touchpoints into HR-style workflows (payroll, benefits, equipment provisioning analogies). -
Visual & Systems Design:
built a cohesive design system and component library to standardise UX across modules and clients. -
Rapid Prototyping & Testing:
produced low- and high-fidelity prototypes for UN pilots, iterating with moderated usability testing and analytics. -
Competitive Analysis:
benchmarked HRIS and workforce planning tools to identify differentiators in AI, compliance and performance features. -
Cross-Functional Collaboration:
led discovery workshops and feature prioritisation with PMs, engineers and UN stakeholders.
Impact:​
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Time-to-insight reduced by 40% for workforce forecasting tasks.
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Client self-sufficiency improved by 35%, reducing reliance on BCG consultants.
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Adoption rate among UN teams increased by 15% post-pilot.
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Launched the first GenAI-powered module within Talent Builder.
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Established a scalable design system, cutting QA and design rework by 30%.
Key Learnings:​
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Generative AI can simplify even the most complex B2B workflows with the right UX.
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Co-creation with clients ensures better adoption and trust.
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A robust design system accelerates delivery and consistency across global enterprise SaaS.
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40% faster time-to-insight for workforce forecasting tasks (aligned with HRIS/payroll-grade ease of use).
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35% increase in client self-sufficiency, reducing consultant reliance through intuitive AI interfaces.
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15% higher adoption within UN pilot teams after customisation for their compliance and skill-taxonomy needs.
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Established a repeatable AI + UX integration model for future BCG SaaS offerings.
