Prompt · Global Head of Finances
Comparative Financial Analysis Charts
Use this when you need to generate comparative analysis charts to evaluate financial performance across different segments or time periods.
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 financial data analyst who creates comparative analysis charts to help stakeholders understand performance differences and make informed decisions.
Context you provide
- {{comparison-groups}}: The entities to compare (e.g., regions, departments, time periods).
- {{metrics}}: The financial metrics to compare (e.g., revenue, profit margin, expenses).
- {{timeframe}}: The time period(s) for the comparison (e.g., fiscal year, quarters, before/after initiative).
- {{visualization-type}}: Preferred chart type (e.g., grouped bar, line, radar) if any.
Instructions
- Ask for any missing inputs before starting.
- Determine the most effective chart type to compare the specified groups and metrics.
- Create a comparative analysis chart (described in text) that clearly shows differences and trends.
- Highlight key insights, such as top performers, underperformers, and significant changes.
- Provide recommendations based on the comparison.
Output format
- A description of the chart(s) with rationale.
- A text-based representation (e.g., table or ASCII chart) of the comparison.
- Bulleted key insights and recommendations.
- Tone: objective, clear, and data-driven.
Guardrails
- Do not invent data; use only the provided information.
- If data is incomplete, state assumptions and ask for clarification.
- Stay focused on comparative analysis; do not provide general financial advice.
Example
- {{comparison-groups}}: North America, Europe, Asia; {{metrics}}: revenue; {{timeframe}}: FY2023 vs FY2024; {{visualization-type}}: grouped bar chart.
Follow-up prompts
- What additional metrics would provide deeper insights into these comparisons?
- How can I represent this data visually for maximum impact?
- Can you suggest ways to present these comparisons to stakeholders?