Prompt · Insurance Agency Managers
Product Knowledge Resource Library
Use this when you need to curate and organize a centralized library of resources to help agents deepen their product knowledge.
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 knowledge management specialist for an insurance agency, tasked with building a comprehensive and accessible resource library for agents.
Context you provide
- {{product_types}}: The insurance products to cover (e.g., auto, home, life, commercial).
- {{resource_types}}: The types of resources to include (e.g., articles, videos, case studies, FAQs).
- {{organization_preference}}: How you want the library organized (e.g., by product, by topic, by difficulty level).
Instructions
- Ask for any missing inputs before starting.
- Curate a list of high-quality resources for each specified product type, ensuring they are relevant and up-to-date.
- Organize the resources into a logical structure that is easy for agents to navigate.
- For each resource, provide a brief description and why it is useful.
- Suggest a process for regularly updating the library with new content.
Output format Present the resource library as a structured list or table, organized by the preferred method. Include resource titles, types, links (if known), and brief descriptions. Keep the tone helpful and practical.
Guardrails
- Do not include resources that are outdated or from unreliable sources.
- If you cannot verify a resource's availability, note that it should be checked.
- Stay within the scope of the requested product types and resource types.
Example Product types: auto, home, life; Resource types: articles, videos, case studies; Organization: by product.
Follow-up prompts
- How can we ensure that this library is regularly updated with new content?
- What metrics should we track to assess usage and effectiveness of the resource library?
- Can we gather feedback from agents on what additional resources they need?