This project delivers an end-to-end analytics solution for a modern AI-driven career platform, integrating user growth, AI performance, learning engagement and employer marketplace dynamics into a unified reporting layer. Instead of isolated reports, each dashboard contributes to one cohesive narrative — helping stakeholders identify growth opportunities, optimise AI recommendations, improve partner performance, and proactively manage marketplace demand and supply across the entire user lifecycle, from acquisition to job placement.
Platform Health and Growth Analysis
The executive command centre for platform performance — combining total users, activation rates, retention and engagement into a single decision-ready interface. It shows leadership whether growth is sustainable or leaking at critical stages, layering new-users-vs-retention trends with channel efficiency and global demand mapping to reveal where growth is coming from and which markets carry the highest potential.
Career Score Engine & AI Efficacy
Built to answer one of the most critical product questions: is the AI actually delivering value? It analyzes how AI-driven recommendations influence user outcomes by tracking score improvements, engagement funnels and behavioural differences between engaged and non-engaged users — measuring every step of the AI impact funnel, from recommendation delivery to job-match achievement, to identify drop-offs and optimisation opportunities.
Learning Pathway & Partner Revenue
Connects learning engagement directly with business outcomes — tracking the full journey from course discovery (CTR) to completion and score improvement, so stakeholders understand which learning partners and content types actually drive impact. Revenue waterfalls and cost-to-performance analysis turn this from passive reporting into a revenue optimisation engine for pricing and partnership decisions.
Employer Marketplace & B2B Pipeline
Focuses on the supply-demand dynamics of the hiring ecosystem — employer activity, candidate quality and deal progression, visualising the full hiring funnel from AI-generated matches to confirmed hires. Comparing employer demand thresholds against candidate score distributions surfaces gaps that directly affect hiring success, while a churn-risk matrix flags at-risk employers before revenue is affected.
User Intelligence Report
Granular, row-level visibility into every user and employer on the platform — the backbone for deep-dive analysis and operational decision-making. Teams can slice and filter across geography, industry, user segment and skill category to uncover patterns aggregated dashboards would miss, making this the single source of truth for both technical and business users.
