Overview

We partnered with a nonprofit to design and implement an AI-powered data platform that integrates public data with community insights. The platform helps policymakers, advocates, and community leaders understand opportunities and challenges across jurisdictions by translating complex data into accessible, human-centered insights.

The Challenge

Public health and behavioral health systems often rely on lagging, aggregate indicators that limit local context and nuance. While data is widely available, it can be difficult to understand what is driving outcomes across regions, interpret how community experiences align with available statistics, and identify where targeted interventions can have the greatest impact.

We needed a way to combine validated quantitative data with qualitative insights at scale and make it usable for a broad external audience.

Our Approach

We worked closely with leadership, research, and product teams to build a public-facing platform grounded in a strong data foundation and clear governance.

Key initiatives included:

• Integrated data foundation: We unified internal survey, interview, and focus group data with validated external datasets using a modern, cloud-based data infrastructure.

• Data governance: We established a shared data dictionary and governance protocols across partner organizations to ensure data quality and responsible use.

• AI-powered public tool: We developed an external-facing platform that combines interactive dashboards with a natural-language AI interface.

Results & Impact

• Richer context: Users can access both quantitative indicators and community insights in one place.

• Improved decision-making: Policymakers and advocates can identify patterns, gaps, and intervention opportunities beyond surface-level metrics.

• Greater accessibility: Non-technical users can engage meaningfully with complex data.

• Scalable foundation: The platform supports additional datasets, jurisdictions, and future use cases.