Skills Gap Analysis: How to Find Workforce Gaps and Turn Them Into Learning Paths

A skills gap analysis compares the skills your organization has today with the skills it needs to execute its strategy. Done well, it gives L&D and HR a prioritized view of where to build capability, where hiring or redeployment may be more appropriate, and which development investments should happen first.

The key word is prioritized. A skills inventory can contain hundreds or thousands of capabilities. A useful gap analysis narrows that complexity to the roles, skills, and proficiency levels that matter to current and future business outcomes.

Workday's current guidance takes the same strategy-first approach: define business outcomes, identify future skills needs, audit current capability, prioritize gaps, act on the findings, and keep the data current. See Workday's skills gap analysis guide.

What is a skills gap analysis?

A skills gap analysis is the process of comparing required skills and proficiency levels with current workforce capability, then prioritizing the differences based on business impact, risk, urgency, and the best way to close them.

It can operate at several levels: enterprise, function, role, team, or individual. The strongest programs connect those levels so a strategic capability gap can be translated into role requirements and then into individual learning paths.

Skills gap analysis vs. training needs analysis

A training needs analysis asks whether a performance problem can be improved through learning and what training response is appropriate. A skills gap analysis focuses more specifically on capability: what skills are required, what proficiency exists today, and what gaps must be closed.

They often work together. A skills gap may become an input to TNA, but not every skills gap should result in a course. The response may be hiring, internal mobility, workflow redesign, coaching, practice, mentoring, new tools, or a combination.

How to conduct a skills gap analysis in 8 steps

What data should you use to assess skills?

No single source is reliable enough on its own. Self-assessments are fast but can be inconsistent. Manager ratings add context but can vary by manager. Assessments provide a common standard but may not represent job performance. Certifications prove a defined requirement, while work samples and observed performance show applied capability.

Use multiple evidence sources and record confidence. Existing credentials, completed learning, skills matrices, performance data, projects, assessments, manager validation, and employee profiles can all contribute to a stronger picture.

Standardized skill definitions also matter when data comes from several systems. The Lightcast Skills Taxonomy is one current example of a maintained common language for skills, categories, and related workforce data. The point is not to adopt any one external taxonomy unchanged, but to avoid letting duplicate names and inconsistent definitions distort the gap analysis.

How to prioritize skills gaps

Do not rank gaps only by the difference between current and target proficiency. A small gap in a mission-critical capability may deserve more attention than a large gap in a low-impact skill. Add strategic importance, business risk, affected population, time sensitivity, evidence quality, and whether the capability can realistically be developed.

Turn prioritized gaps into learning paths

Once a gap is validated, translate it into a development plan with a clear target proficiency. A role-based path can combine digital learning, ILT/VILT, practice, assignments, coaching, and assessments instead of assuming one course will build the capability.

The Trainery guide to personalized learning path software is useful when the same role contains different individual gaps. The path should adapt to what the learner already knows while preserving the role's required standard.

Use a skills matrix without turning it into the entire strategy

A skills matrix is excellent for showing people or roles against skills and proficiency levels. It is not, by itself, a complete skills architecture. Large organizations may also need a skills taxonomy or ontology to standardize definitions and relationships across teams.

Use the skills matrix guide for the practical matrix build. For enterprise architecture, the skills taxonomy vs. matrix vs. ontology guide covers when those structures should work together.

How to decide whether to build, hire, redeploy, or automate

L&D should not own every gap. If the capability is strategically important, buildable, and needed across a meaningful population, structured development may be the best answer. If the skill is rare, urgently needed, and hard to develop quickly, external hiring or contracting may be more realistic. If similar capability already exists elsewhere in the company, internal mobility can be faster.

Some “skills gaps” are also signals that the work itself needs redesign. A new tool, clearer process, improved job aid, or automation may reduce the amount of skill required. Treat skills analysis as a business decision process, not a mandate to increase course volume.

How to measure whether the gap is closing

Set a baseline before development begins, then reassess using the same standard. Track change by skill, role, team, and business priority. Completion rate can be part of the evidence, but the stronger measure is whether proficiency and job performance improved.

Connect the skills view to learning analytics and the broader training ROI framework. If the organization is trying to reduce ramp time for a role, track time to competency as the downstream outcome.

Common skills gap analysis mistakes

Typical mistakes include starting with a giant generic skills library, assessing every employee before defining business priorities, using only self-ratings, allowing each manager to define proficiency differently, treating every gap as a training problem, and failing to refresh the data as work changes.

Another mistake is creating parallel skill definitions inside HR, L&D, recruiting, and performance systems. Standardize where possible so the same capability can connect workforce planning, development, credentials, internal mobility, and reporting.

Where learning technology helps

A modern LMS can assign development by role, track assessments, record completion, and deliver targeted learning. Skills-oriented workflows can map development to capability, while certification tracking handles skills that require recurring credentials or proof. Coaching adds manager validation and applied development outside formal courses.

The goal is not to collect more skill data. It is to make better decisions about which capability to build, for whom, at what level, by when, and how progress will be demonstrated.

Skills gap analysis example

Assume an operations team is adopting a new forecasting process. The business outcome is better planning accuracy. The critical roles are planners and their managers. The required capabilities may include data interpretation, scenario modeling, and decision communication. Assess current proficiency using work samples and manager validation, then prioritize the gaps that most affect forecast quality.

The action might combine a role-based learning path, live workshops managed through the TMS, manager coaching, and follow-up assessment. A gap that is caused by missing data or poor tooling would be handled outside training instead of adding more content.

How often should you refresh a skills gap analysis?

Refresh the analysis when strategy, technology, regulation, products, or role design changes materially—not only on an annual calendar. Critical roles may need quarterly review, while lower-risk areas can be reviewed less often. The important point is to keep the required-skill model and evidence current enough to support real decisions.

Use reporting, current credential status, assessment results, and learning-path progress to identify where gaps are closing or reappearing. This also supports a stronger continuous learning strategy instead of one-time reskilling campaigns.

Final takeaway

A strong skills gap analysis starts with business outcomes, not a catalog of skills. Define the capability the strategy requires, establish a reliable current-state view, prioritize the gaps that matter most, and connect those gaps to the right talent and learning actions.