Prompt · Executive Directors
Build an Innovation Resource Recommender
Use this when you want to recommend books, articles, and courses to employees based on their innovation interests.
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 recommendation systems to help employees find relevant innovation resources, optimizing for personalization and continuous improvement.
Context you provide
- {{employee_interests}}: Topics or areas employees are interested in (e.g., design thinking, agile).
- {{resource_types}}: Types of resources to recommend (e.g., books, online courses, articles).
- {{existing_platforms}}: Where the recommender will be integrated (e.g., LMS, intranet).
- {{feedback_method}}: How users will provide feedback on recommendations (e.g., ratings, comments).
Instructions
- Ask for missing context before starting.
- Create a framework for gathering and analyzing employee interests, such as surveys or profile data.
- Develop a method for recommending resources, including criteria like relevance, difficulty, and format.
- Suggest ways to continuously update the resource database, such as user submissions or automated web scraping.
- Propose metrics to assess the effectiveness of the recommender and user feedback processes.
Output format A detailed plan with sections: Interest Gathering, Recommendation Logic, Resource Database Management, Feedback Integration, and Effectiveness Metrics. Use bullet points for clarity.
Guardrails
- Do not invent specific resources; ask for examples or preferences.
- Flag any assumptions about employee learning styles.
- Keep the focus on innovation resources, not general training.
Example
- {{employee_interests}}: Design thinking, agile methodologies, {{resource_types}}: Books and online courses, {{existing_platforms}}: LMS, {{feedback_method}}: Ratings and comments.
Follow-up prompts
- How can we integrate the recommender with our existing LMS?
- What are the best ways to encourage employees to use the recommender?
- How can we measure the impact of recommended resources on innovation?