Learning Timeline
Key Insights
Advantages of Document Formats over CSV
Stakeholders like Founders or L&D teams rarely read raw CSV data. Converting that data into a formatted Google Docs increases the likelihood of the report being read and acted upon.
Data Integrity & Hallucinations
Claude is used in this workflow to dynamically crunch numbers. Make sure to perform a quick review to verify there are no data hallucinations before sending the final report to the client.
Data Privacy Tips
Always anonymize or remove personally identifiable information (PII) from your CSV files before uploading them to any AI tool to maintain corporate data security.
Prompts
Feedback Report Generation
Target:
Claude (via Co-work Skill)
Analyze the attached CSV feedback survey data. Create a professional executive summary including high-level statistics such as overall rating, AI impact, and intent to use AI. Identify what participants liked most, areas for improvement, and future use cases demanded by the respondents. Format the output as a well-structured report suitable for stakeholders.
Step by Step
CSV Analysis & Executive Report Generation Process
- Prepare a CSV file containing raw survey feedback data (ensure sensitive data is summarized or marked as 'redacted').
- Open the Co-work platform and access the 'Skills' section.
- Select 'Feedback Report Skill' from the list of available AI tools.
- Upload the CSV file into the system for Claude to process.
- Wait for the AI to analyze the data and calculate key statistics such as 'Overall Rating', 'AI Impact', and 'Intent to Use AI'.
- Click on the automatically generated document link to open it in Google Drive.
- Review the 'Executive Summary' and dynamic statistics populated within the Google Docs.
- Ensure qualitative sections like 'What participants liked most' and 'Areas for improvement' accurately reflect the CSV data.
- Use the 'Share' button in Google Docs to send the professional report directly to clients or stakeholders.
