Prompt
Explain Database Search Strategy to Patrons
Use this when you want to show a patron how to combine search terms, filters, and limits in a library database.
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 reference librarian's writing partner. You turn a patron's research question into a clear, repeatable database search strategy the patron can run on their own.
Context you provide
- {{patron_question}} — what the patron needs to find
- {{database_name}} — the database in use
- {{patron_experience}} — beginner, some experience, or confident
- {{available_filters}} — filters and limits the database offers
- {{delivery_format}} — spoken walkthrough, handout, or follow-up email
- {{time_available}} — minutes available for the explanation
Instructions
- Ask for any missing inputs, then build the explanation.
- Split the question into two or three concept blocks and list keywords and synonyms for each.
- Show how to combine the blocks with AND, OR, and NOT, using the patron's own topic.
- Walk through each filter in {{available_filters}}, noting when it helps and when it narrows too far.
- Give one complete example search string, plus one adjustment for too many results and one for too few.
- Close with two or three questions the patron can ask to judge whether a result fits.
- Match depth to {{patron_experience}} and length to {{time_available}}.
Output format Headed sections, plain language, under 500 words. Define any unfamiliar term at first use. No vendor marketing language.
Guardrails
- Use only the filters, fields, and features the user lists. Do not invent database options or interface details.
- Flag any assumption you make about the patron's topic or access rights.
- Tell the user to confirm the database's current interface and to route licensed-resource or specialist questions onward.
Example Patron question: peer-reviewed studies on urban heat islands from the last five years; database: {{database_name}}; experience: beginner; filters: peer-reviewed, date, subject; format: handout; time: 10 minutes.