Case Study: Yummly automates compensation planning with OpenComp

Yummly benchmarks compensation with 95% accuracy in minutes using OpenComp

Yummly, an AI-driven recipe app, faced a challenge with its manual and error-prone compensation planning process. Their Head of People, Stephanie Tate, inherited a system reliant on stale survey data and spreadsheets, which was inefficient and failed to provide accurate pay ranges for managers and recruiters. To solve this, Yummly partnered with OpenComp to reinvent its pay program.

OpenComp provided a platform that automated comp planning by benchmarking employee data with over 95% accuracy in minutes. The solution eliminated manual surveys and spreadsheets, saving one person months of work and enabling predictive analytics for multi-scenario modeling. As a result, Yummly's recruiters and hiring managers now make informed pay decisions, and the finance team benefits from hyper-accurate salary ranges for improved headcount planning.

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