Course overview
Training requests often arrive as solutions: a manager asks for a workshop, induction programme or technical course. A sound training needs analysis tests whether learning is the right response, identifies the performance gap, and defines the operational evidence required before resources are committed. Without this discipline, learning budgets can be directed towards symptoms such as low confidence or inconsistent results while process design, systems, incentives, staffing or management controls remain unresolved.
This course teaches participants to conduct a structured training needs analysis (TNA) from business requirement through to prioritised learning recommendations. Participants examine organisational, occupational and individual needs; analyse performance gaps and root causes; gather evidence through interviews, surveys, observation, document review and task analysis; and define measurable capability requirements. They convert findings into learner profiles, competency requirements, learning objectives, evaluation measures, delivery recommendations and an implementation roadmap. The course also addresses stakeholder management, data protection, TNA governance, costed recommendations and reporting findings to senior decision-makers.
Teaching combines concise faculty briefings with realistic cases from banking, public services, NGOs, manufacturing and corporate functions. Participants work progressively on a TNA for a selected business issue, using evidence templates, stakeholder maps, interview guides, performance analysis tools and prioritisation matrices. Facilitated peer review tests the quality of their diagnosis and recommendations. By the end of the course, each participant leaves with a complete TNA pack: a defined business problem, evidence plan, findings analysis, capability gap assessment, prioritised interventions and implementation measures.
The course is suited to L&D professionals, HR business partners, operational managers and internal consultants who need to make learning investment decisions defensible, evidence-led and linked to measurable performance requirements.



