Session One: Building the Foundation for Community Assessment

This session reframes community assessment as a strategic asset rather than a federal box to check. Participants will learn to distinguish OHS compliance requirements from the broader opportunities intentional CA design creates for program planning and grant applications. The session also tackles a growing challenge head-on: many traditional demographic and socioeconomic data sources have become less reliable, less granular, or harder to access in recent years. Staff will learn practical strategies for validating and triangulating secondary data, expanding use of local and nontraditional data sets, and positioning agency-generated data as credible evidence for external funders. The session closes with primary data collection skills — designing effective surveys, focus groups, and interviews, engaging multilingual and culturally diverse families, and partnering with community organizations to gather the kind of data funders actually value.

Session Two: Integrating Data Across Head Start Systems

Here the focus shifts from collecting data to putting it to work. Participants will explore how community assessment findings connect to and strengthen every major Head Start system — ERSEA recruitment priorities, PFCE family engagement strategies, education and school-readiness goals, health and mental health partnerships, fiscal and resource allocation decisions, and governance reporting to boards and councils. The session also introduces the idea of building a “community of learners” within the agency: cross-role dialogue between educators, family advocates, fiscal staff, and leadership, along with feedback loops that keep data flowing between departments. Finally, participants will look at how to move from a once-a-year compliance mindset to a sustainable, year-round practice — using annual updates as opportunities for reflection, developing internal champions, and building the CA so future funding applications require minimal extra work.

Session Three: Practical Tools for Data Use and Communication

A hands-on, exploratory session focused on the software and tools that make CA work easier and more effective. Participants will get exposure to spreadsheet tools like Excel and Google Sheets for organizing and cleaning data, dashboard platforms like Power BI, Tableau, or Google Data Studio for turning data into funder-ready visuals, and simple survey tools like Google Forms or SurveyMonkey. The session also covers how shared drives, Teams, or SharePoint can support ongoing collaboration across a community of learners. The session ends with an applied exercise: taking a single CA data point and transforming it into a simple chart or one-page narrative suitable for Policy Council presentations or funding applications.

Session Four: Using AI Tools in Community Assessment and Head Start Planning

This session provides practical, monitoring-safe guidance for introducing ChatGPT and similar AI tools into CA work — positioning AI strictly as a decision-support and synthesis tool, never as a data source. Participants will get a structured approach to onboarding staff to AI, foundational AI literacy (understanding what these tools can and can’t do), and hands-on training in writing high-quality prompts using role, context, task, and constraint framing. The session covers real-world applications specific to Head Start, such as drafting CA narratives, translating findings into Policy Council–friendly language, and cross-walking data across ERSEA, PFCE, health, and education systems. It closes with essential guardrails: human oversight and internal controls, ethical boundaries (AI should never determine eligibility or generate fabricated data), and strategies for sustaining responsible AI use over time.