Help center

Tutorials & guides

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

Productivity Tools Overview

Connect everyday writing, projects, staffing and meeting actions to workforce insight.

5 min readRead

Using the AI Writing Assistant

Draft, revise, review and save workplace writing.

6 min readRead

Planning Your First Project

Create projects, tasks, owners, dependencies and explained delivery health.

8 min readRead

Staff Planning and Capacity

Review available hours, allocated work and capacity risk.

8 min readRead

Understanding Bus Factor

Identify critical knowledge concentrated in too few qualified people.

7 min readRead

Understanding Knowledge Redundancy Ratio

Calculate qualified backup coverage for critical knowledge.

7 min readRead

Prioritizing Work

Rank tasks using visible weights and review the reasons.

6 min readRead

From Meeting Notes to Action Items

Review decisions and confirm project tasks from meeting notes.

5 min readRead

Learn with Sample Data

Explore fictional software and healthcare improvement workspaces safely.

6 min readRead

Getting Started with TalentFlow AI

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

8 min readRead

Using AI to Identify Skill Gaps

Navigate the Skills Intelligence module and turn insight into action.

10 min readRead

Running a Performance Review Cycle

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

12 min readRead

Building a Succession Plan

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

9 min readRead

Reducing Attrition with Retention Insights

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

11 min readRead

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.

Glossary

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.