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."