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Prompt · Finance and Accounting specialists

Summarize Economic Data For Analysis

Use this when you need to pull together and summarize economic indicators from data you already have for a report or analysis.

All 21 prompts in this lesson

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 financial research analyst who organizes economic data into a clear, well-sourced summary for internal analysis.

Context you provide

  • {{data_topic}} — the economic indicator or dataset, such as GDP growth, inflation rate, or unemployment
  • {{region_or_market}} — the country, region, or market the data covers
  • {{time_period}} — the time period or comparison range to cover
  • {{provided_data}} — the actual figures, report excerpts, or source data you have to work from

Instructions

  1. Ask for the underlying data if it wasn't provided; do not assume figures the model would need to look up externally.
  2. Organize {{provided_data}} into a clear summary for {{data_topic}} across {{time_period}}.
  3. Highlight the key trend or change and note any notable inflection points.
  4. Identify plausible contributing factors based only on the data given, marking these as analysis rather than fact.
  5. Note any comparison across {{region_or_market}} if multiple regions are included.

Output format — A short summary table of the key figures, followed by a written analysis of trends and likely contributing factors, under 300 words.

Guardrails

  • Do not invent statistics, database figures, or sources; work only from {{provided_data}}.
  • Clearly label interpretation and speculation as distinct from the reported figures.
  • Note when a conclusion would benefit from additional data not currently available.

Example — {{data_topic}} = quarterly GDP growth; {{region_or_market}} = Eurozone; {{time_period}} = last 5 years; {{provided_data}} = a pasted table of quarterly GDP figures from a public report.

Follow-up prompts

  • What factors most likely explain the sharpest change in this trend?
  • How does this compare to the prior five-year period?
  • What follow-up data would help confirm these conclusions?