Case Study: Coursedog achieves clearer engineering performance with Span

Coursedog boosts AI adoption to 95% with Span

Coursedog, a provider of academic operations software, faced a challenge as AI-assisted development accelerated across its engineering teams. Their leadership needed greater visibility into how AI was influencing execution, quality, and the overall health of the development lifecycle, moving beyond just measuring adoption to understanding its operational impact. Before using Span, reporting required stitching together data from multiple sources, making it difficult to see patterns clearly as development accelerated.

Span provided an operating layer that unified signals across pull requests, tickets, and deployment data. This gave Coursedog leadership a reliable, system-level view of engineering performance. The results included AI adoption scaling from 30% to 95% weekly usage and a 40% year-over-year increase in pull requests. Crucially, Span surfaced an early 25% increase in rework, allowing the company to introduce new quality guardrails and ensure that faster development translated into stronger, more resilient engineering performance.

Coursedog