Case Study: Greenhouse achieves weeks of dashboard development time savings and faster churn prediction with Mode

Why Greenhouse made the switch to Mode

Greenhouse, a provider of recruiting and applicant tracking software, needed an analytics platform that could scale with the company while balancing a powerful, flexible workflow for data teams and accessible self-service tools for business stakeholders. As Greenhouse grew, existing options required too much reworking of their data stack or lacked alignment with the team’s SQL-first workflow, slowing down data-driven decision making.

By adopting Mode (and its Helix engine), Greenhouse gave data scientists a seamless SQL-to-Python workflow and delivered interactive, explorable dashboards to stakeholders. The team now builds predictive churn models shared via Python notebooks, stakeholders run self-serve analyses, and Helix has cut weeks off dashboard development—freeing the data team for deeper work and accelerating business impact.

Greenhouse

Andrew Zirm

Senior Data Scientist