I went straight to the API angle, talking about OAuth flows and surfacing profile data in the meeting UI.
Start by clarifying the user problem and business value, then outline a phased integration approach using LinkedIn APIs and Webex SDKs, and finally address technical and privacy considerations. Emphasize a minimum viable product (MVP) that delivers immediate value while planning for scalability and compliance.
Pro tip: Demonstrate awareness of LinkedIn's API rate limits and data privacy policies (e.g., GDPR) early on, and propose a fallback mechanism for when profile data isn't available. This shows you understand real-world constraints beyond just technical feasibility.
Articulate the user pain point (e.g., difficulty recalling participant backgrounds) and the business value (e.g., enhanced engagement, differentiation). Identify target users and key use cases.
Describe how LinkedIn profile data would be fetched (via LinkedIn API) and displayed in Webex (using Webex SDK/APIs). Consider authentication (OAuth), data flow, and where profile info appears (e.g., participant list, hover cards).
Discuss API rate limits, data privacy (GDPR, CCPA), user consent, and caching strategies. Propose solutions like opt-in, data minimization, and fallback to Webex profiles.
Suggest a phased rollout: start with basic profile display for opted-in users, then add features like real-time updates or AI-driven insights. Define success metrics (e.g., adoption rate, user satisfaction).
Identify potential risks (e.g., API changes, privacy backlash) and propose mitigations (e.g., abstraction layer, clear user controls). Highlight dependencies on LinkedIn partnership.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.