Case Study: Air boosts new feature allocation and reduces review bottlenecks with Span

Air boosts new feature allocation from 55% to 65% with Span

Air, a creative operations platform, faced a challenge in gaining visibility into its engineering workflows to support a major strategic shift toward AI feature development. Their leadership, including VP of Engineering Ping Ma, needed a unified data surface to monitor this shift and align on engineering priorities, moving beyond scattered dashboards and gut feelings. They adopted Span, an engineering observability platform, to address this.

Using Span, Air's leadership gained deep visibility into their development lifecycle and investment mix. This allowed them to successfully track and drive their strategic shift, increasing allocation to new features from 55% to 65% within a year. Span also helped identify and rebalance code review bottlenecks. The solution provided a shared data surface for bi-weekly leadership reviews, enabling data-driven decisions and confidence that strategic goals were being met.

Air