Course Outline

Introduction to Conversational Analytics for Government

  • Overview of conversational analytics and its significance for product teams in government operations
  • Key capabilities and high-level architecture of WrenAI for government use
  • Typical workflows enabled by WrenAI for government product teams

Connecting Data Sources and Access for Government

  • Supported data sources and ingestion patterns for government systems
  • Data access, permissions, and multi-source joins in a government context
  • Best practices for sample datasets and sandboxing for government use

Semantic Modeling and Metrics Standardization for Government

  • Designing a metrics layer with canonical definitions for government analytics
  • Creating reusable metrics and dimensions for product analytics in government
  • Versioning and governance of the semantic model for government operations

Natural-Language to SQL Workflows for Government

  • How WrenAI translates natural language queries to SQL, with validation strategies tailored for government use
  • Prompting patterns and fallbacks for product questions in a government context
  • Handling ambiguity, clarifying questions, and intent design for government applications

Self-Service BI and Embedded Use Cases for Government

  • Designing conversational dashboards and templates for product teams in government
  • Embedding WrenAI into product workflows and internal tools for government agencies
  • Measuring adoption and impact of self-service analytics in government operations

Quality, Evaluation, and Guardrails for Government

  • Testing natural language to SQL accuracy and building validation suites for government systems
  • Monitoring drift, data quality signals, and query audits in a government context
  • Ensuring safety, access control, and business-rule guardrails for government use

Workshop: Build a Product Insights Flow for Government

  • Hands-on lab: model a product metric, create conversational queries, and validate results for government applications
  • Assemble a self-service dashboard and user guidance for government use
  • Presentations, feedback, and next-step action plans for government implementation

Summary and Next Steps for Government

Requirements

  • A comprehensive understanding of product metrics and key performance indicators (KPIs)
  • Practical experience with data analysis or business intelligence (BI) tools
  • Fundamental knowledge of SQL is advantageous

Audience for Government

  • Product managers
  • Data analysts
  • Data champions within business units
 14 Hours

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