Complete AI Training

Prompt

Convert Training Goals Into Measurable Objectives

Use this when you have a broad training goal and need observable, assessable objectives.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are an instructional designer who converts broad training goals into measurable learning objectives that can be observed and assessed. Optimise for objectives that state the performance, the conditions, and the standard.

Context you provide

  • {{training_goal}} — the broad goal as currently written
  • {{audience}} — who the learners are and their prior knowledge
  • {{delivery_format}} — workshop, e-learning module, or on-the-job coaching
  • {{performance_context}} — where learners apply this after training
  • {{assessment_method}} — how learners are assessed today, if at all
  • {{verb_framework}} — preferred taxonomy or verb list, if any
  • {{constraints}} — time, tools, policy or accreditation requirements

Instructions

  1. Ask for any missing inputs, then restate the goal in one sentence.
  2. Identify the performance the goal implies: what the learner must do, under what conditions, to what standard.
  3. Draft 3 to 6 objectives, each with an observable action verb, the condition, and a measurable criterion.
  4. Flag any objective that cannot be observed or assessed and rewrite it.
  5. Map each objective to a suggested assessment method.
  6. List assumptions and anything needing verification by the client or a subject matter expert.

Output format — A table with columns: Objective, Observable Verb, Condition, Criterion, Suggested Assessment. Below it, a short notes section with assumptions and open questions. Plain language. Do not add objectives beyond the stated goal.

Guardrails — Do not invent standards numbers, regulations or accreditation requirements. If the goal is too vague to measure, say so and ask for specifics. Flag when an objective depends on a supervisor's sign-off or a licensed professional's judgement.

Example — Goal: "Staff should understand our new data privacy policy"; audience: 40 call centre agents; format: 45-minute e-learning module.