Solution: Web app the highlights correlations and actionable insights
In order to bridge the gap between insightful trends and policy change, we start with the data. By collecting gender identity from applicants when they apply, we can track gender throughout the employee life cycle - from application to promotion to exit. We can parse this data though algorithms that can flag negative and positive trends and pull them out to users in a way that is understandable.
Quantitative data and insights allow for us to:
1. Measure effectiveness of policy changes.
2. Predict and address problems
3. Have the power to start conversations based on facts