Data & File Processing
Summarizes and interprets survey results from uploaded data files.
A focused file analysis agent for analysts
Survey Results Analyzer is an AI agent built to summarize and interpret survey results from uploaded data files. It is built for analysts, operators, researchers, and teams working with files who need to avoid summarizing responses without segmenting sentiment, themes, quantitative patterns, and quotes. Add csv or excel file of survey results, main questions they want answered, and output format; the agent turns those inputs into survey themes, response summaries, sentiment, notable quotes, and recommendation points. Run it once per file batch or dataset, then reuse the slots whenever the input format repeats.
Start with csv or excel file of survey results. Then add main questions they want answered and output format so the agent has enough context to produce survey themes, response summaries, sentiment, notable quotes, and recommendation points.
Yes. That is one of the core outputs. More specific inputs produce more specific results.
It asks for the details most likely to change the answer, especially csv or excel file of survey results, main questions they want answered, and output format. That prevents summarizing responses without segmenting sentiment, themes, quantitative patterns, and quotes.
Yes. Use the file-or-text slots for spreadsheets, documents, transcripts, exports, or pasted text, then specify the exact extraction or analysis goal.
Yes. Add your preferred format, examples, tools, or constraints in the slots, and the agent can shape the result around them.
Clarify csv or excel file of survey results, add missing constraints, and state what a good result should include. The next run will usually improve when the failure mode is explicit.