DataFlow recognized that unconscious bias was affecting their hiring decisions and limiting their ability to build a diverse engineering team.
The Challenge
**Unconscious Bias**: Resume screening was influenced by candidate names and educational backgrounds.
**Inconsistent Standards**: Different interviewers had varying evaluation criteria.
**Limited Diversity**: Engineering team lacked diversity despite efforts to recruit broadly.
The Solution
DataFlow implemented ApexHire's blind assessment features to create a more equitable hiring process.
Blind Screening
Initial assessments removed identifying information, focusing purely on skills and problem-solving.
Objective Scoring
Standardized rubrics ensured all candidates were evaluated against the same criteria.
Results
DataFlow achieved meaningful progress toward their diversity goals:
- **40% increase** in diversity hires
- **100% elimination** of name-based bias in initial screening
- More **consistent evaluation** across all candidates
- Improved **employer brand** as a diverse workplace