Background: A consumer goods provider sought to transform their HR function into a metrics-driven and AI-ready organization. However, no baseline measure of data literacy and data use practices existed. The organization could not quantify its current capabilities, identify gaps, or prioritize investments—making it impossible to build a credible roadmap toward a metrics-driven, AI-ready HR function.

Objectives: (1) Obtain executive sponsorship for a data-driven approach to HR transformation, introducing a measurement framework in an environment where initiatives had not previously been tracked using standardized KPIs. (2) Design and execute the HR Organization's first standardized diagnostic to establish a clear baseline of HR data literacy and data-use maturity. 

Impact:  Introduced a standardized diagnostic that shifted HR  transformation discussions from concept-driven to evidence-based. Capability gaps were identified and broad-based training was reduced in favor of focused capability building for high-impact HR roles, improving consistency of data-informed decisions and reducing reliance on anecdotal insights. 

Background: A consumer goods provider sought to leverage Workday's native survey functionality as a potential solution for HR enterprise diagnostics and HR measurement use cases.

Objectives: Assess Workday's native survey capability using survey science standards and end-to-end workflow validation to determine enterprise fit, governance risks, and decision readiness. 

Impact:  The assessment identified structural limitations restricting Workday Surveys to low-risk feedback use cases, including constraints to anonymity, longitudinal comparability, and measurement governance. Findings enabled leadership to appropriately scope usage and avoid misapplication for enterprise-grade measurement diagnostics.