Empowerment Dashboard Design with Synthetic Data

The Feminine Intelligence Agency (FIA) is a social innovation startup that builds tools to help women and other vulnerable populations recognize coercion, build psychological resilience, and protect themselves in relationships, workplaces, and digital environments. We’ve developed a suite of educational tools based on years of psychological research, including: The Agency Calculator – A diagnostic tool that scores users on 20 dimensions of personal agency (e.g., boundaries, emotional regulation, critical thinking, autonomy). The BlindSpot Quiz – A self-awareness tool that reveals a user's potential manipulation blind spots or psychological vulnerabilities. The Player Identifier Chatbot – An AI-guided conversation tool that scores patterns in past or present relationships to detect early warning signs of coercive control. All tools are grounded in a custom-built trait scoring system, and the backend is currently being migrated to a graph database (Neo4j) to support interactive analysis and visualization. The Goal of This Project: Your job is to take our structured psychological framework and design a user-facing data dashboard using synthetic data . This dashboard should help users: Understand their strengths and areas for growth across the 20 agency traits See how their relationship history or quiz patterns affect their risk profile Get personalized suggestions for chatbot training modules or education content Track their learning journey or improvement over time This dashboard should be visually intuitive , empowering , and curious-user-friendly . Think of it as the bridge between psychological insight and actionable growth. Data Provided: You’ll be given structured synthetic datasets that mirror real patterns from FIA’s tools (no real user data, no PII). These datasets will include: Trait scores from the Agency Calculator (0–10 scale, 20 traits) Vulnerability cluster types from the BlindSpot Quiz Player-type pattern flags from relationship assessments Sample chatbot session logs (e.g., user selected “Egocentric Evan,” answered 6/10 confrontation questions) Suggested learning modules and growth paths (Optional) simulated session timestamps for visualizing progress over time