Transform a raw file into structured insights with GPT

What to do with a raw transcription or unsorted notes? This GPT prompt generator helps you automatically convert them into structured insights, usable for your reports, analysis, or decision making. It is particularly useful in automated workflows or knowledge management processes.

When to use this prompt

After a meeting or client interview (raw transcription)

To analyze user feedback

When you receive unanalyzed text data

What this prompt allows you to obtain

Clear extraction of what matters: pain points, decisions, trends

Structure usable in Notion, Airtable, CRM…

A reusable prompt in an API or no-code tool

Tips and mistakes to avoid

✓Do's

•Clearly specify the nature of the file to avoid misinterpretation
•Don't neglect format instructions (JSON, table…)
•Always specify what you want to extract (don't let GPT guess)

✗Don'ts

Prompt Template

This is the base template with placeholders. Replace the placeholders with your specific information:

You are an AI analyst. You receive the following file: {{raw_data_description}}. This file contains: {{content_nature}}. Your goal is to extract: {{expected_insights}}. Present the result in the form: {{output_format}}. If some data is unclear or missing, {{error_behavior}}. {{additional_notes_block}}

Placeholder descriptions:

{{raw_data_description}}Raw file description - ex: client meeting transcription, audio meeting notes

{{content_nature}}File content (type of data) - ex: dialogues, task list, marketing data

{{expected_insights}}Information or conclusions to extract - ex: pain points, next steps, recurring keywords

{{output_format}}Output format - ex: JSON, table, bullet points

{{error_behavior}}Handling of unclear or missing data - ex: indicate 'data not found' or ignore

{{additional_notes}}Additional constraints or instructions (optional) - ex: summarize in 300 words max, separate client vs internal insights

Generated prompt example

Here's an example with filled-in values:

You are an AI analyst. You receive the following file: complete client call transcription. This file contains: free discussion with questions and answers. Your goal is to extract: expressed needs, raised objections and actions to plan. Present the result in the form: 3-column markdown table (need, objection, action). If some data is unclear or missing, indicate "not detected".
Also add these instructions: limit table to 15 rows maximum, sort needs in order of appearance.

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