Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.humanintelligence.com/llms.txt

Use this file to discover all available pages before exploring further.

Datasets are the organized business areas where your metrics and dimensions live. Think of each dataset as a topic — like “recruiting” or “compensation” — that groups together all the related data points you might want to explore. You don’t build datasets yourself. They’re created automatically when you connect an integration. Your job is simply to understand what’s available so you can ask the right questions.

Available Datasets

Here are the most common datasets you’ll see in Human Intelligence:
  • Worker Roster — Your current and historical employee population
  • Recruiting Applications — Candidates moving through your hiring pipeline
  • Job Openings — Open roles and requisition details
  • Offers — Offers extended, accepted, and declined
  • Performance Reviews — Review cycles, ratings, and manager feedback
  • Engagement Surveys — Survey responses and sentiment scores
  • Compensation History — Pay changes, bands, and equity grants

What’s Inside a Dataset

Every dataset contains dimensions — the individual data points you use to build metrics, filter reports, and explore trends. Dimensions come in two types: dimensions (for grouping and filtering) and time dimensions (for tracking trends over time).
To learn more about the dimensions inside your datasets, see Dimensions.
You don’t need to know the technical details behind datasets. Just think of them as organized business areas that hold the building blocks for your analytics.