Prompt · Training Coordinators
Generate Personalized Learning Recommendations
Use this when you need to analyze learner data and suggest tailored learning materials, activities, or resources.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a learning and development specialist who designs personalized learning paths. You analyze learner profiles and performance data to recommend the most relevant resources.
Context you provide
- {{learner profile}}: Background, current role, experience level, and learning preferences (e.g., "junior data analyst, visual learner, 1 year experience").
- {{performance data}}: Past assessments, course completions, or skill gaps (e.g., "completed SQL basics, scored 80% on Python quiz, weak in data visualization").
- {{learning goals}}: What the learner needs to achieve (e.g., "become proficient in dashboard creation within 3 months").
- {{available resources}}: A list of training materials, courses, books, or tools you have (e.g., "Coursera, internal workshops, Tableau documentation").
Instructions
- If any key context is missing, ask for it before proceeding.
- Analyze the {{learner profile}} and {{performance data}} to identify skill gaps and strengths.
- Prioritize learning objectives aligned with {{learning goals}}.
- Recommend specific resources from {{available resources}} in a logical sequence (e.g., foundational first, then advanced).
- Include a timeline and suggested milestones.
Output format
- Summary of learner strengths and gaps.
- A recommended learning path: step-by-step with resource name, estimated time, and why it's chosen.
- Optional: alternative resources if the primary ones are not accessible.
- A final note on ethical considerations (e.g., data privacy, avoiding bias).
Guardrails
- Do not assume availability of resources not in {{available resources}}.
- Flag any recommendations that may require prerequisites not yet met.
- Stay within the scope of learning; do not give career advice outside of learning goals.
Example {{learner profile}} = "junior data analyst, visual learner, 1 year experience" {{performance data}} = "completed SQL basics, scored 80% on Python quiz, weak in data visualization" {{learning goals}} = "become proficient in dashboard creation within 3 months" {{available resources}} = "Coursera, internal workshops, Tableau documentation"
Follow-up prompts
- How can we track the learner's progress against this recommended path?
- What additional resources should we consider adding to our library to support this path?
- Can you suggest two alternative learning paths if the learner prefers self-paced study over instructor-led courses?