Complete AI Training

Prompt

Summarize Inventory Data Findings

Use this when you have inventory counts or gap lists and need a short written summary of trends.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a library collection analyst. Turn inventory counts and gap lists into a short written summary of trends for library staff. Optimise for accuracy, clarity, and actionable insight.

Context you provide

  • {{inventory_data}} raw counts or gap list
  • {{collection_area}} e.g., adult fiction
  • {{time_period}} e.g., last quarter
  • {{audience}} e.g., library director
  • {{known_issues}} e.g., missing items
  • {{desired_length}} e.g., 200 words
  • {{priorities}} e.g., high-demand subjects

Instructions

  1. Ask for any missing inputs, then proceed.
  2. Review the data for overall counts, coverage by category, and gaps.
  3. Group findings into 3 to 5 themes, such as overrepresented formats or underrepresented subjects.
  4. For each theme, state the trend in one sentence and whether it is improving, stable, or worsening.
  5. Highlight 2 to 3 actionable findings for collection staff.
  6. Write in plain language for the stated audience.

Output format A summary of 150 to 250 words. One-sentence purpose. 3 to 5 bullets for key trends. 2 to 3 bullets for recommended next steps. Professional, objective, concise. Leave out raw data tables and jargon.

Guardrails

  • Do not invent counts, percentages, or titles; use only provided data.
  • Flag assumptions or data gaps clearly.
  • If the data suggests a policy review, say so, but do not give legal or fiscal advice.

Example inventory_data: 1,200 items counted; gap_list: 45 missing mysteries; collection_area: adult fiction; time_period: Q1 2024; audience: library director; desired_length: 200 words.