What is a training needs analysis?

A training needs analysis is a structured study of what people in each role need to learn, set against what they already know, so that training is aimed at real gaps rather than assumed ones. Before an AI agent goes live, it identifies who will work with the agent, what they will decide, and what each must be taught.

Why does a training needs analysis matter?

Without one, training follows guesses. Organisations often assume reviewers need to learn the software and executives need a strategy briefing. In practice, the reviewer's real need is to judge sources and verdicts, and the executive's is to understand what depth means and who answers when an agent errs. A needs analysis finds those real needs.

It also justifies the cost and the shape of training. Someone will ask why the claims team needs two weeks and the finance team needs two days. The analysis is the answer.

How is one carried out?

A training needs analysis for agent work follows five steps:

1. Map the change: which agent, which capabilities, at what depth, in which process.
2. Identify the roles: everyone who reviews, approves, builds, owns or is accountable for the agent's work.
3. Define the need per role: the decisions each role makes and the knowledge each decision requires.
4. Measure the current state: tests, observation, a skills audit or readiness assessment.
5. Set the plan: the gap per role becomes training content, format, owner and deadline.

Step four is where many analyses cut corners by asking managers what their teams know. Testing people gives a far clearer picture.

The training needs analysis template lays out the fields, and how to write a training needs analysis for AI agents walks through each step.

An example

A housing association plans an agent that drafts responses to repair requests at depth 2 and holds any that mention damp, safety or vulnerability. The analysis identifies four roles: repairs coordinators who review drafts, a team lead, a tenancy officer who handles held cases, and a director who owns the risk. Testing shows coordinators understand the repairs process but not why the agent holds certain cases or what an external photo can prove. The plan gives coordinators three sessions on verdicts and sources, the tenancy officer training on held cases, and the director a short briefing on depth and accountability. For a fuller picture of the output, see what a training needs analysis for agents looks like.

How is it different from a skills audit?

A skills audit measures what people can do now against a standard. A training needs analysis goes further: it defines the standard from the change ahead, uses audit-style evidence to measure the gap, and turns the gap into a plan. A skills audit can be one input to a needs analysis.

It also differs from a readiness assessment, which tests a team just before go-live. A needs analysis comes earlier and shapes the training; a readiness assessment checks whether it worked.

Which terms are related?

• Skills audit: one source of current-state evidence.
• Skills gap: the difference the analysis measures.
• Training plan: the output that puts the analysis into action.

For the full approach, read training teams for AI agents.

Where the Academy fits

Pryme Intelligence Academy offers a free readiness assessment for teams of up to 25, in which the team takes the Foundations test set in its industry. The report shows scores by concept and the gaps, which gives step four of the analysis tested evidence rather than estimates.