User Prompt
Analyze the earnings-call transcript below for the company {company}. TASK Extract structured intelligence with these sections: 1. management_tone - classification: one of "optimistic", "neutral", "cautiously optimistic", "cautiously pessimistic", "pessimistic". - confidence: a number between 0 and 1 reflecting how clearly the transcript supports the classification. - evidence: 3 to 8 VERBATIM quotes from the transcript that justify the classification. Copy them exactly. 2. key_takeaways: 3 to 6 of the most material business insights (profitability, revenue trends, credit quality, portfolio growth, efficiency, capital, etc.). 3. guidance: explicit forward-looking statements / forecasts / targets the management made. Quote or closely reference the transcript. 4. guidance_changes: how guidance and themes changed VERSUS THE PRIOR QUARTER. {guidance_changes_instruction} 5. analyst_questions: the TOP 3 most critical questions asked by analysts and how management answered. For each: question (paraphrase ok), response_summary, and response_quality ("High", "Medium", or "Low") judging how directly and completely management answered. Base this ONLY on the analyst-questions block and the transcript answers below. 6. red_flags: linguistic signals of hesitation, topic-changing, or evasion. For each, provide a "quote" that is a VERBATIM excerpt from the transcript and a "reason" explaining why it is a red flag. If there are none, return an empty list. 7. surprise_score: an object with "score" (integer 1-10) indicating how much of what was said likely was NOT in pre-call market consensus, and a "justification" string. Consider the whole transcript, not just the opening. OUTPUT CONTRACT (return ONLY this JSON object, no fences, no extra text): {{ "company": "{company}", "management_tone": {{ "classification": "string", "confidence": 0.0, "evidence": ["verbatim quote", "..."] }}, "key_takeaways": ["string", "..."], "guidance": ["string", "..."], "guidance_changes": [ {{"change": "string", "impact": "string"}} ], "analyst_questions": [ {{"question": "string", "response_summary": "string", "response_quality": "High|Medium|Low"}} ], "red_flags": [ {{"quote": "verbatim excerpt", "reason": "string"}} ], "surprise_score": {{"score": 0, "justification": "string"}} }} ANALYST QUESTIONS (use these to fill analyst_questions; if empty, infer from the Q&A inside the transcript): {analyst_questions} {prior_quarter_block} TRANSCRIPT (current quarter - your single source of truth): {transcript}
fill the variables
This prompt has 9 variables. Pro fills them into a ready-to-paste prompt for you — no manual find-and-replace.
{company}{guidance_changes_instruction}{{
"company": "{company}{{"change": "string", "impact": "string"}{{"quote": "verbatim excerpt", "reason": "string"}{{"score": 0, "justification": "string"}{analyst_questions}{prior_quarter_block}{transcript}
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Community prompt sourced from the open-source GitHub repo nicolyyr/bradesco-bbi-ai-challenge (MIT). A "User Prompt" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
productivitycommunitydeveloper
source
nicolyyr/bradesco-bbi-ai-challenge · MIT
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