Company

Chief connects senior women executives across industries through vetted professional chapters, always-on forums, and peer matching by role and location. The platform's mission centers on helping C-Suite and VP-level leaders build personal boards of advisors while accessing business experts and curated programming that accelerate leadership growth.

The Challenge

Chief needed to deliver personalized content and connect members with the right experts, but lacked the infrastructure to do so effectively. Without a unified data architecture, questions and posts disappeared into a generic feed where executives struggled to find relevant discussions. The solution required a scalable system that could understand diverse leadership topics—from strategic planning to crisis management—and match members with peers and experts across industries who could meaningfully contribute to their specific challenges.

The Solution

Through A.Team's network, Chief brought on a data scientist to transform how members discover valuable connections. The approach centered on building a unified data architecture that could process posts, events, and member profiles in real-time. The builder utilized natural language processing to categorize discussions by leadership topic and identified key details like role transitions, industry challenges, and functional expertise. This structured understanding powered two systems working together: a recommendation engine that personalized each member's feed based on their interests and experience, and an expert-matching algorithm that connected questions with members who had relevant expertise to share. The infrastructure delivered instant recommendations without lag, turning Chief's generic feed into an intelligent network that surfaced the right conversations and connections at the right time.