Help center

Tutorials & guides

Onboarding content, step-by-step guides, and answers to common questions.

Set up your workspace, invite users, import data, and review your first dashboard.

Navigate the Skills Intelligence module and turn insight into action.

Configure cycles, capture feedback, and generate AI-drafted summaries.

Identify critical roles, score readiness, and develop your bench.

Spot risk early, understand drivers, and run interventions that work.

Frequently asked questions

How does the AI explain its recommendations?

Every AI suggestion includes an 'Explain why' panel showing the inputs, signals, and weights that produced it.

Can we control who sees diversity data?

Yes. By default, only HR Admin and Executive roles see diversity metadata. You can tighten further in Settings → AI policies.

How do you prevent bias in candidate scoring?

We disclose bias-awareness checks on every candidate score and require human review before hiring decisions.

Where does training data come from?

Models are trained on aggregated, anonymized signals. Your tenant data is never used to train shared models.

9-box grid: Performance × potential matrix used in talent reviews.
Bench depth: Number of viable successors per critical role.
Calibration: Cross-team review to align performance ratings.
Critical role: A position whose vacancy would meaningfully impact the business.
Readiness: Successor's preparedness for a target role: Now, 1y, or Emerging.
Risk score: Composite likelihood of an employee leaving within 12 months.