What kinds of skills and attributes can SHL assessments measure?
Updated
SHL assessments can measure a broad set of job-relevant attributes: hard skills, soft skills, motivation, situational judgment, and cognitive ability. According to SHL, this is done through what the company describes as the industry's broadest portfolio of assessment and interview technology. These measures are used across hiring, development, and internal mobility decisions, and results are delivered through dashboards intended to make people decisions more objective and fair.
The main categories of measurement
Based on SHL's own description of its portfolio, the measurable dimensions fall into five groups:
| Category | What it covers (per SHL) |
|---|---|
| Hard skills | Job-specific or technical skills |
| Soft skills | Interpersonal and behavioral competencies |
| Motivation | What drives a person's engagement and performance |
| Situational judgment | How someone responds to realistic work scenarios |
| Cognitive ability | Reasoning and problem-solving capacity |
SHL frames these collectively as measuring "fit, readiness, and potential." That framing matters: the assessments are not limited to whether a candidate can do a job today, but also whether they are ready for a future role and have the potential to grow into it.
From measurement to decision
Measurement alone does not help a hiring manager or HR team. SHL states that its science is delivered through intuitive dashboards, with the goal of bringing "agility, objectivity, and fairness" to every hiring, development, and mobility decision. In practice, that means an assessment score is meant to feed directly into a decision workflow rather than sit in a separate report.
SHL also emphasizes the scale behind its insights: its science is drawn from what it calls the world's largest bank of talent data, with over 45 billion data points on workforce skills, performance, and potential. The company reports that 45 million SHL assessments are taken every year worldwide.
Where these measures apply
The same attribute categories serve different purposes depending on the stage of the employee lifecycle:
- Hiring and screening — measuring fit for a specific role, including volume hiring and graduate hiring scenarios.
- Development — identifying skill gaps and building personalized feedback and development reports.
- Mobility and succession — assessing readiness and potential for the next role, including high-potential identification and succession planning.
- Leadership — evaluating enterprise leadership capabilities.
SHL's demo hub lists solution tours for each of these scenarios, including graduate hiring, volume hiring, high-potential identification, manager hiring, succession planning, skills development, enterprise leadership development, and professional hiring. These tours are a practical way to see which attributes a given solution emphasizes before committing to an assessment approach.
A note on AI readiness
SHL's current messaging places significant weight on AI readiness, framing it as a defining factor for organizations in an AI-powered world. The site also references support for the EU AI Act. If your organization is evaluating assessments partly for compliance or AI-transition reasons, that guidance is worth reviewing directly, since the specific requirements depend on your jurisdiction and use case.
How to decide whether this fits your needs
The attributes above are broad enough to cover most talent decisions, but the right choice depends on your scenario. A few practical questions to ask:
- Which decision are you supporting? Selection, development, and succession each weight the attribute categories differently.
- Do you need hard skills, soft skills, or both? Some roles are gated primarily on technical ability; others on behavioral fit.
- Will results need to feed an existing HR system or workflow? SHL positions its dashboards as the delivery layer for decisions, so integration matters.
- Is AI or regulatory readiness part of the brief? If so, review SHL's AI readiness and EU AI Act materials before scoping.
For a concrete starting point, the interactive tours in SHL's demo hub show how data and people science combine for each scenario, which is often faster than reading a feature list.