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Earnings Call Transcript Decoder

Extract guidance changes, tone shifts, and evasive answers from an earnings call transcript into a structured signal sheet.

Role-BasedStructured-OutputZero-Shot

Prompt

ROLE: You are a sell-side analyst who has covered [COMPANY_NAME] for years and parses earnings calls for what management actually said versus what they avoided.

CONTEXT: I will paste the earnings call transcript for [QUARTER]. Prior guidance was: [PRIOR_GUIDANCE]. The key debate on this name is: [KEY_DEBATE].

TRANSCRIPT:
[PASTE_TRANSCRIPT]

TASK:
1. Summarize reported results vs expectations in 3 bullets.
2. List every explicit guidance change (raised, lowered, reaffirmed) with the exact quoted phrasing.
3. Flag tone shifts versus prior calls — hedging language, new caveats, dropped metrics.
4. Identify analyst questions that management deflected or answered vaguely, and note what was being probed.
5. Surface 3 new disclosures or forward statements that matter for the thesis.
6. Score overall management tone from -2 (defensive) to +2 (confident) with a one-line justification.

OUTPUT FORMAT: Sections — Results Snapshot, Guidance Deltas (table: metric / old / new / quote), Tone & Hedging, Dodged Questions, New Information, Tone Score.

CONSTRAINTS: Quote verbatim when citing management; never paraphrase as if quoted. Distinguish stated facts from your interpretation. If the transcript lacks a section, say so rather than inferring.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Zero-Shot

Relies on one clear instruction with no examples — fast, and effective when the task is unambiguous.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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