Reimagining Generative AI

The Boston Consulting Group, October 2024

OVERVIEW

BCG is one of the top 3 consultancies in the world. One of the premium SAAS product it offers is Talent builder, a talent strategy and workforce planning tool to clients all around the globe. It is being used by major organisations including the UN. The project focused on enhancing the current User experience of the tool and seamlessly reducing the dependencies on the consultancy and make the tool self reliant by incorporating generative AI powered process and UX friendly interfaces. For which we built an entirely new module.

Role

Senior UX Designer

Team

PM, Full stack Engineers, AI Engineers, Product Analyst, 2 consultants, 1 client service rep

Duration

4 months

ABOUT THE PRODUCT

TalentBuilder by BCG is an analytical tool for workforce planning and talent strategy. It uses external data to identify current skill needs, connects decisions through common skills data, and is modular and scalable to fit client needs.

UNDERSTANDING THE PROBLEM SPACE

The existing product, initially launched had fulfilled its foundational purpose. However, with time and user feedback, it became apparent that the product had accrued what we commonly refer to as "design and engineering debt." This debt comprises various aspects, including user experience challenges, navigation complexities, and the absence of a cohesive design language.The new product offering was aimed at resolving the below complexities -

Complex Data Handling

Existing tools were fragmented, making it hard for teams to access data from different sources.

Lack of Predictive Insights

There was no AI-driven predictive analysis for workforce trends, which hampered proactive decision-making.

Lack of Visual Hierarchy

The current workforce management tools were cumbersome, non-intuitive, and required significant training to operate effectively.

Scalability

There was a need for restructuring to incorporate inovation & insightful ways of consuming data

Thus, the project was focused on building a user-friendly, AI-driven workforce planning tool that could address these pain points.

Note - Due to strict NDA agreements, I am unable to share specific designs or screenshots from the final product. However, I will provide a detailed overview of the process and the UX learnings.

CONTRIBUTIONS AS THE SENIOR PRODUCT DESIGNER 👩🏻‍💻

Synthesising Features, Constraints & Considerations

Defined key features like AI-driven forecasting and scenario simulations based on user research and business needs.

Collaborated with stakeholders to prioritize features, ensuring alignment with both user pain points and business objectives.

AI Integration & Feasibility Reports

Worked with AI engineers to integrate GenAI, transforming complex data into actionable insights.

Evaluated feasibility reports to ensure AI capabilities were practical and user-friendly.

Customer Journey Mapping

Created user journey maps to visualise pain points and optimize workflows.
Integrated AI touchpoints seamlessly into the journey, enhancing user interaction with predictive tools.

Visual Design Direction

Developed a cohesive design system, component library aligned with the consultancy’s brand identity.

Ensured consistent UI/UX branding across all touchpoints, reinforcing the product’s professionalism.

Competitive Analysis

Analyzed competitors to identify gaps and opportunities for differentiating the product.
Informed product positioning with unique AI features that offered added value.

Rapid Prototyping & Wireframing

Produced low-fidelity wireframes and high-fidelity prototypes for rapid iteration and user testing.

Collaborated with stakeholders to refine designs based on feedback and usability results.

Cross Functional Collaboration

Worked closely with engineering, product management, and business teams to align on design implementation and product goals.

Led workshops to ensure all teams contributed to key decisions, balancing technical feasibility with user-centered design.