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Comprehensive Survey Data Analysis

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GPT-4O
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This prompt transforms AI into a skilled researcher and analyst to uncover trends in survey data. It analyzes quantitative and qualitative responses, identifies outliers, and links findings to actionable recommendations, helping organizations achieve data-driven goals efficiently.
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After purchasing, you will gain access to the prompt file which you can use with GPT or the app builder. You'll receive 20 free generation credits with this purchase. By purchasing this prompt, you agree to our terms of service.
Over 1 month ago
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Prompt Details

Model
Chat - GPT-4o (gpt-4o)
Token size
238 ($0.01190 / call)
Example input
[expert researcher and data analyst ]: expert researcher and data analyst [TOPIC]: employee engagement. [DESCRIBE YOUR ROLE AND ORGANIZATION TYPE]: mid-sized technology company [TYPE]: employee satisfaction survey [DESIRED DESCRIPTIVE STATISTICS-MEAN, MEDIAN, ETC.]: Quantitative Data Analysis [TOPIC OF SURVEY]: workplace satisfaction. [ORGANIZATIONAL GOAL CONNECTED TO DATA]: high engagement scores and positive sentiments.
Example output
Example 1: Prompt: "You are a data analyst with expertise in employee engagement. I am the HR Director of a mid-sized technology company. I have attached a dataset from a recent employee satisfaction survey that includes both quantitative and qualitative responses. Your task is to analyze the data and identify key trends and related action steps. Quantitative Data Analysis: Calculate basic descriptive statistics (mean, median, mode, standard deviation) for each quantitative question and identify correlations between satisfaction scores and retention rates. Qualitative Data Analysis: Perform sentiment analysis on open-ended questions and extract frequently mentioned key phrases related to workplace satisfaction. Cross-Analysis: Look for relationships between high engagement scores and positive sentiments. Key Insights: Provide actionable recommendations for improving employee engagement and reducing turnover."
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