Three-Step Guide for Reliable Gen AI Data Analytics

  • Supports more reliable AI-assisted analysis by guiding users through structured prompting, validation, and review steps
  • Promotes responsible use of generative AI by emphasizing compliance with organizational data security, privacy, and governance policies
  • Improves confidence in reported insights by encouraging reasonableness checks, triangulation, and human review before conclusions are shared
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Downloads 7 downloads Type Guide Publication date August 07, 2026 Topics AI for HRDigital HRPeople Analytics

This guide provides a structured, three-step approach for using generative AI to analyze data more accurately and reliably. It is designed for HR professionals who use LLMs to explore data sets, test hypotheses, validate calculations, and translate results into well-supported insights.

Included in this resource:

  • Introduction, including a compliance check for using company or sensitive data with LLMs
  • Step 1: Explore—Understanding, scoping, and validating the data
  • Step 2: Test—Testing hypotheses and analyzing scenarios
  • Step 3: Report—Translating data into validated insights
  • Glossary—Essential Terminology
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