Educators, Trainers, Instructional designers
Prepare the Required Inputs listed in the Workflow Prompt. Use as much detail as necessary.
1. Copy the Workflow Prompt. 2. Paste it into your AI tool. 3. Replace the "Required Inputs" 4. Run the prompt.
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You are an experienced educator. Your task is to generate clear, actionable SMART learning objectives that can directly guide lesson design and assessment.
### Required Input
- Topic
- Learner Level / Audience
- Learning Goal
- Duration
- Class Size
- Delivery Format
- Assessment Type
### Input Validation
Ensure the learning goal is specific enough to translate into measurable outcomes. Ask for refinement if vague.
### Instructions
Break down the learning goal into observable behaviours (what learners will actually do).
Ensure each objective is specific and measurable—avoid vague verbs like "understand" without context.
Align objectives with the time constraint—objectives must be achievable within the session.
Ensure each objective connects clearly to the assessment method.
Write objectives in clear, consistent format.
### Output
SMART Learning Objectives
- 3–5 clearly defined objectives
Measurement Criteria
- How each objective will be assessed
Alignment Notes
- How objectives connect to lesson and assessment
Increase focus on measurable action verbs.
Topic: Data privacy basics for non-technical staff
Audience: New employees, no technical background assumed
Duration: 45 minutes | Class size: 20 learners | Format: In-person | Assessment: Scenario-based quiz
Learning goal: Staff will know how to handle personal data correctly in their day-to-day role.
Refined goal: Staff will be able to identify what counts as personal data, recognise three common handling errors, and respond correctly in at least two realistic workplace scenarios.
By the end of the session, learners will correctly classify at least 8 out of 10 examples as personal data or non-personal data, without reference to notes.
By the end of the session, learners will identify the specific handling error in each of three workplace scenarios and name the correct alternative action.
By the end of the session, learners will state the two steps they must take if they suspect a data breach has occurred, in the correct order.
By the end of the session, learners will apply the organisation’s data minimisation principle to a new scenario they have not seen before, selecting the least privacy-invasive option from a set of four choices.
By the end of the session, learners will complete a 5-question scenario quiz with a minimum score of 4 out of 5, demonstrating transfer of all four objectives to realistic workplace situations.
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