# What Is Talent Intelligence?

Canonical URL: https://skillsociety.com.au/blog/glossary/what-is-talent-intelligence
Markdown URL: https://skillsociety.com.au/blog/glossary/what-is-talent-intelligence/markdown
Published: 2026-07-07
Updated: 2026-09-16
Author: Alberto Cubeddu
Excerpt: Talent intelligence combines skills data, labour market insight, candidate pipelines, and hiring outcomes so teams can plan and recruit with better evidence.

Talent intelligence is the use of internal and external workforce, skills, market, and candidate data to make better hiring, mobility, and workforce planning decisions.

Recruiting data often lives in separate systems: ATS records, sourcing notes, market research, interview feedback, and workforce plans. Talent intelligence tries to connect those signals into decisions.

## What to Distinguish

Talent intelligence combines data to support decisions; an ATS records an operational hiring process. Market estimates, inferred skills and observed candidate answers have different evidence strength and should retain their sources and dates.

## A Practical Example

**Illustrative example:** A company plans expansion into a new region. Talent intelligence combines labour market supply, salary expectations, skill availability, and past hiring conversion to choose where to hire and which skills to prioritise.

## What to Measure

Use explicit definitions for your reporting. The following are practical measurement choices, not universal benchmarks or claimed product results.

| Measure | Definition | Interpretation |
| --- | --- | --- |
| Evidence freshness | Records updated within the chosen window ÷ records used for a decision × 100. | Choose the window for the question; changing availability needs fresher evidence than completed education. |
| Internal fill share | Roles filled by existing employees ÷ all filled roles in the period × 100. | Define transfers and promotions consistently and compare similar role families. |

## How to Apply It

Start with a decision, such as where to recruit a role or whether to develop skills internally. Record the evidence, uncertainty and owner, then compare the eventual result with the original assumption.

## Common Mistakes

- Building dashboards without decision ownership.
- Mixing stale and current data.
- Using skills labels without definitions.
- Ignoring privacy and consent boundaries.

## Where Skill Society Fits

Skill Society provides role-specific screening conversations, transcripts and evidence for human review. Use that candidate evidence alongside your market research and workforce plan, and confirm any required reporting or data connection.

[Book a demo](https://skillsociety.com.au/booking?utm_source=blog&utm_medium=cta&utm_campaign=what-is-talent-intelligence) to discuss your screening workflow, evidence requirements and human review points.

## Related Reading

Continue with [market mapping](/blog/glossary/what-is-market-mapping).

## Further Reading

- [Talroo AI in Hiring Glossary](https://www.talroo.com/blog/decoding-ai-the-recruiters-glossary-to-artificial-intelligence-in-hiring) - AI recruiting terms such as NLP, conversational AI, semantic search, AI agents, explainable AI, and algorithmic bias.
- [Phenom HR AI Glossary](https://www.phenom.com/blog/hr-ai-glossary-terms) - AI-powered HR terms, including candidate matching and talent intelligence.
- [OECD Skills-First Report](https://www.oecd.org/en/publications/empowering-the-workforce-in-the-context-of-a-skills-first-approach_345b6528-en/full-report/skills-first-in-oecd-countries-concepts-trends-and-implications-for-the-labour-market_0d6ba66f.html) - skills-first labour market context and skill-based matching trends.
- [LinkedIn Skills-First Report](https://economicgraph.linkedin.com/research/skills-first-report) - skills-first hiring and labour market matching context.