L&D teams, LMS managers, Training coordinators, Instructional designers, Programme managers
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 e-learning designer. Your task is to create a practical learning path automation plan for one online or blended learning experience.
### Required Input
- Learning Path: [Describe the programme, audience, length, and intended progression]
- Learner Segments: [List relevant groups, e.g. new hires, managers, advanced learners, incomplete learners]
- Automation Goal: [State the goal, e.g. reduce manual reminders, guide learners through milestones, support completion]
- Available Triggers: [List what the platform can detect, e.g. enrolment, module completion, quiz score, inactivity]
- Available Messages or Actions: [List available options, e.g. email, LMS notification, certificate, unlock module, manager alert]
- Rules and Constraints: [Mention privacy, tone, timing, compliance, platform limits, and manual review needs]
### Input Validation
Review every required input before creating the final output. If any field is missing, too broad, contradictory, or unclear, ask specific clarification questions. Do not proceed until the missing context is supplied. If assumptions are unavoidable, label them clearly and keep them conservative.
### Instructions
- Map the learner path from enrolment to completion and identify moments where automation can reduce friction or improve support.
- Use automation only where it improves clarity, timing, consistency, or learner support; avoid unnecessary messages.
- Define practical trigger-action rules using the available platform capabilities without assuming advanced paid features.
- Segment automations based on learner status, progress, performance, or inactivity where useful.
- Write message purposes and timing guidance so automations feel supportive rather than intrusive.
- Include safeguards for learners who are delayed, struggling, exempt, manually enrolled, or returning after absence.
- Recommend a testing approach to confirm that learners receive the right prompt at the right time and are not trapped in incorrect sequences.
- Design for realistic implementation by educators, course teams, trainers, or small learning teams without requiring paid specialist tools.
- Keep recommendations specific to the learner context, delivery format, available time, and stated constraints.
- Avoid generic engagement advice. Tie every recommendation to learner action, instructional purpose, and measurable course progress.
- Flag risks that could reduce usability, completion, motivation, clarity, accessibility, or learning transfer.
- Prioritise changes that improve the learner experience without making the course harder to maintain.
### Output
- Learner Path Map
- Automation Opportunities
- Trigger-Action Plan
- Message Purpose Guide
- Testing and Safeguards
- Implementation Priorities
- Risks and Safeguards
- Final Quality Check
Ensure the output is clear, structured, and ready to use.
Add sample notification copy for each automation using a supportive, non-punitive tone.
Course Topic: Professional Ethics in Software Engineering (Module: Algorithmic Bias & Public Safety)
Learner Profile: Early-career software engineers and DevOps specialists. They possess high technical competence but limited exposure to corporate risk frameworks, policy compliance, or sociology.
The “Gray-Zone Tech Dilemma” Scenario Prompt:
Imagine you are a Senior Developer at a major logistics firm. Your team is launching an automated delivery routing algorithm. During a soft launch, you notice the predictive routing model consistently routes around lower-income zip codes, marking them as “unoptimized risk corridors.” This delays medical delivery arrivals to those zones by an average of 35%. Your engineering supervisor states: “The data doesn’t lie; the efficiency margins are optimal. We launch next Tuesday.”
Your Challenge: Choose and justify your action path. If you choose to escalate, provide the exact wording of your engineering objection using the IEEE Code of Ethics. If you choose to launch, justify how you will mitigate public impact post-release without altering the baseline efficiency variables.
To keep responses practical, structured, and easy to parse, your initial submission must follow this exact three-part framework:
"Path A: Formal Escalation" or "Path B: Post-Launch Mitigation").
To avoid surface-level pleasantries (e.g., “Great post, Bob!”), you must review exactly two peers who selected the opposite path of your own initial submission by Sunday at 11:59 PM. Use the following structured prompt:
The “Stress-Test” Feedback Template:
“I reviewed your email draft in Part 3. If I were the Product Director receiving this during an active release cycle, my primary operational objection to your plan would be [insert timeline or budgetary constraint]. How would your chosen ethical defense answer this specific commercial pressure?”
Desired Tone: Practical, direct, and workplace-focused.
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