Aug 1, 2026

What I learned building an HR analytics product

Key Takeaways

Leaders don’t want more data tables; they want contextual clarity.

Enterprise HR data is messy, distributed, and requires extreme privacy guardrails.

Graph models (Neo4j) match how organizations actually work far better than traditional relational tables.

When I started building Workfonic, my initial instinct was to build the ultimate analytics cockpit: 50 different charts, retention curves, eNPS trendlines, and hiring funnel breakdowns.

Feedback from enterprise people leaders quickly humbled that approach. CHROs don’t lack charts; they are already drowning in them. What they lack is synthesis.

A CHRO doesn’t want to spend 20 minutes slicing a dashboard to discover that engineering middle managers have an unhealthy span of control. They want an automated briefing memo that flags: "Engineering span of control has widened to 9.2 in Bangalore; team satisfaction dropped 14 points in that cohort; here are two rebalancing options."

Building Workfonic taught me that the best product experience is the one that minimizes cognitive overhead for the decision-maker.