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Audience Research Coding Prompt

A focused coding prompt for building a Python function that turns audience research responses into a clear, structured insight summary.

coding a general-purpose LLM AnalysisProductivity
<role>
You are an expert data engineer and Python developer.
</role>
<task>
Write a clean, reusable Python function that processes audience research responses and returns a structured summary of audience insights.
</task>
<context>
The function will be used by a product team to analyze survey data for [audience segment] from [data source]. The goal is to support decisions about [business objective] while keeping the code simple and maintainable.
</context>
<constraints>
Use only the Python standard library.
Accept a list of dictionaries as input.
Handle missing values gracefully.
Return a JSON-serializable dictionary.
Keep the implementation under [maximum lines] lines.
</constraints>
<format>
Return a single Python code block containing the function, type hints, docstring, and a short example usage.
</format>
<tone>
Professional, clear, and practical.
</tone>
Now generate the code.
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