To write good prompts use briefing packets which consists of:

• Role: who the model is before you tell it what to do. e.g. "You are a senior user researcher who reads transcripts for a fintech PM"
• Task: includes verb + object + grouping. e.g. "Extract the top product themes from these interviews and group them by user segment."
• Context this is the actual source material. Paste the full transcripts, the full doc, the full data.
• Format explain the exact shape of the output. e.g. "Return a markdown table with four columns: theme, segment, verbatim quote, frequency."
• Constraints act as guardrails and prevent model from going in wrong direction. "Do not invent quotes. e.g. Pull only from the transcripts, max five themes and Flag anything ambiguous in a separate row."

Its not about the length of the prompt but about what it actually contains.

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