ThinkWithPrompt by SynotticThinkWithPrompt

Draft an earnings call script and anticipate analyst questions

A prepared remarks script for the CEO and CFO plus likely analyst questions with consistent, compliant answers.

Finance & AccountingFew-ShotStandardWritingFinanceWriteAnalyze

The prompt

Help me prepare for a quarterly earnings call. Company and quarter: [DETAILS] Key results: [PASTE: revenue, margins, EPS, cash flow, segment results vs. prior year and guidance] Guidance: [CURRENT GUIDANCE and whether it is being raised, maintained, or lowered] Messages we want to land: [3-4 KEY THEMES] Known concerns from analysts or investors: [e.g. margin pressure, customer concentration] Speakers and time available: [e.g. "CEO 8 min, CFO 10 min"] Return: 1. Prepared remarks for each speaker, timed to fit, with numbers stated exactly as provided. 2. 15 likely analyst questions, grouped by theme, each with a suggested answer and a "do not say" note. 3. A list of every number in the script, so legal and IR can check it against the release. 4. Bridge language for questions we should not answer (forward-looking detail, customer specifics, M&A rumors). Rules: - Every result must match the figures I provide; mark anything not provided as [CONFIRM]. - Keep non-GAAP measures paired with the nearest GAAP measure. - Include a safe-harbor placeholder: [INSERT APPROVED FORWARD-LOOKING STATEMENTS DISCLAIMER]. - Avoid selective disclosure: answers should not reveal material information not in the release. This is a drafting aid; final scripts need review by legal counsel and the audit committee as your process requires.

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • DETAILS
  • e.g. margin pressure, customer concentration
  • e.g. "CEO 8 min, CFO 10 min"
  • CONFIRM
  • INSERT APPROVED FORWARD-LOOKING STATEMENTS DISCLAIMER

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

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