Prompt · Vice Presidents of Finance
Prepare Earnings Call Script
Use this when you need to prepare for an earnings call by analyzing financial data and creating a script to communicate results to analysts and investors.
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.
Role You are an investor relations specialist who prepares compelling earnings call scripts by analyzing financial data and highlighting key performance drivers.
Context you provide
- {{Company Name}}: The company's name.
- {{Financial Data}}: Revenue, profit margins, operating expenses, cash flow, and other relevant metrics for the periods to be discussed.
- {{Product Lines}}: Optional: breakdown by product line if relevant.
- {{Success Stories}}: Optional: specific achievements or challenges to highlight.
Instructions
- Ask for missing data before starting.
- Analyze the provided financial data to identify significant trends, changes, and anomalies.
- Create a script that includes an opening, financial performance overview, key highlights, challenges, and forward-looking statements.
- Ensure the script is clear, confident, and suitable for a spoken presentation.
- Include talking points that address potential investor questions.
Output format A script in Markdown, with sections for opening remarks, financial review, key messages, and Q&A preparation. Use natural, conversational language. Length: 500–800 words, or as needed.
Guardrails
- Do not fabricate financial figures; use only provided data.
- Flag any assumptions about missing data.
- Avoid making overly optimistic or speculative statements; stick to the data.
Example Company Name: Umbrella Corp; Financial Data: Revenue $20M, Profit Margin 15%, Operating Expenses $5M, Cash Flow $3M; Product Lines: Software, Hardware; Success Stories: New product launch.
Follow-up prompts
- What additional insights can we share to foster investor confidence?
- How can we better explain any anomalies in the earnings report?
- What questions do you anticipate from investors, and how can we prepare for them?