Greenhouse levels up everybody's ability to answer questions using data and decentralize product analytics
Greenhouse uses Hex to build a library of product intelligence, prototype ML models, conduct statistical modeling, and decentralize product analytics across data science and engineering teams.
About Greenhouse
Greenhouse is changing the way the world hires. Every day, they work to build a company where people are growing their impact and their careers. Where humans come first and collaboration is as abundant as our ambition.
Outcome
- Decentralized product analytics
- Leveled up everyone's ability to answer questions with data
- Bridged gap between data science and product engineering
Scale achieved
- Built a library of product intelligence for future reference
- Prototype ML models, long-form research & statistical modeling
- Share & collaborate across R&D
Written by: Mona Khalil, Data Scientist at Greenhouse
We're amazed at how useful Hex has been for the needs of Greenhouse's data science team while, also being easy to use for our product engineering teams. It bridges that gap with the powerful and flexible notebook environment that also integrates easy SQL querying and native chart abilities. It's really enabled us to level up everybody's ability to answer questions using data and decentralize a lot of product analytics.
The data team at Greenhouse is leveraging Hex to build a library of product intelligence for future reference, prototype machine learning models, conduct long-form research & statistical modeling, and to share & collaborate with teams across R&D.