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Begin by logging into your SurveySparrow account. Navigate to the survey from which you want to export data. Look for the option to export data, typically found in the 'Responses' section. Choose to export the data in CSV format, which is a standard format that can be easily imported into Google Sheets. Download the CSV file to your computer.
Open Google Sheets and create a new spreadsheet. To keep your data organized, consider naming the spreadsheet after the survey. If your survey data includes multiple sections or types of data, you may want to create separate sheets within the spreadsheet to categorize this data appropriately.
In your new Google Sheets document, click on 'File' in the top menu, then select 'Import'. Choose 'Upload' and drag your CSV file into the window or select it from your computer. Choose 'Replace spreadsheet' if this is a new sheet, or select 'Insert new sheet(s)' if you are adding to an existing document. This will import your survey data into Google Sheets.
Once the data is imported, you may need to format it for better readability and analysis. Adjust column widths, apply text wrapping, and use bold or colored text for headers. If necessary, use Google Sheets' data cleaning functions to correct any formatting issues that arose during import, such as splitting data into separate columns or adjusting date formats.
Check through the imported data to ensure that all information has been transferred correctly. Compare a few entries against the original SurveySparrow data to verify accuracy. This step helps catch any discrepancies or errors that might have occurred during the export/import process.
Utilize Google Sheets' features to sort and filter data. Add formulas to calculate totals, averages, or other metrics that are relevant to your survey analysis. Use conditional formatting to highlight important data points or trends within your survey responses.
Once your data is organized and analyzed, ensure that your work is saved. Google Sheets automatically saves changes, but it's good practice to double-check. To share the document with others, click the 'Share' button in the top-right corner. Enter the email addresses of those you wish to share with and set their permissions as 'Viewer', 'Commenter', or 'Editor' based on their needs.
By following these steps, you can effectively move data from SurveySparrow to Google Sheets without relying on any third-party connectors or integrations.
FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
SurveySparrow is an online survey tool which permits users to create and distribute customer surveys through multiple channels, along with evaluate responses and it is also an experience management platform on a mission to assists businesses refine experiences end to end Conversational Experience Management Platform that helps you get a 40% better response rate. SurveySparrow supports you measure employee motivation by using surveys specially made for them. One can easily measure how engaged they are and their job satisfaction.
SurveySparrow's API provides access to a wide range of data related to surveys and responses. The following are the categories of data that can be accessed through SurveySparrow's API:
1. Survey data: This includes information about the surveys created on the platform, such as survey title, description, and status.
2. Response data: This includes information about the responses received for each survey, such as response ID, respondent email, and response timestamp.
3. Question data: This includes information about the questions asked in each survey, such as question type, question text, and answer options.
4. User data: This includes information about the users who have access to the surveys, such as user ID, email, and role.
5. Analytics data: This includes information about the survey performance, such as response rate, completion rate, and average time taken to complete the survey.
6. Integration data: This includes information about the integrations used with SurveySparrow, such as the API key and endpoint URL.
Overall, SurveySparrow's API provides comprehensive access to all the data related to surveys and responses, enabling users to analyze and utilize the data for various purposes.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
