In today’s data-driven world, organizations often collect large amounts of survey data that can be overwhelming to analyze. Whether you are conducting a pre-budget consultation, gauging public opinion, or collecting feedback on city infrastructure projects, the ability to efficiently and accurately analyze survey data is crucial. This is where GovAI comes into play. GovAI is a powerful tool designed to help users automate and streamline the process of survey analysis, providing deep insights into both quantitative and qualitative data. Here's a look at the key features and capabilities of GovAI for survey analysis:
Tip: Tell GovAI the filetype of the data you're trying to analyze in your first prompt, as that will tell GovAI which tool to use to extract the data. Ex. "Help me analyze the responses in this Excel file"
1. Understanding Survey Structure
GovAI excels at analyzing the structure of surveys, recognizing relationships between questions and sub-questions. Surveys often include various types of questions, such as multiple-choice, ranking options, and open-ended responses. GovAI can identify parent-child relationships between these questions, allowing for a more organized and structured approach to analysis.
Example Prompt: Show me your understanding of the questions that were asked and the relationship, if any, among those questions
2. Quantitative Data Analysis
For surveys that include multiple-choice or ranking questions, GovAI provides robust quantitative data analysis. It can count responses, calculate percentages, and generate summaries to give you a clear understanding of the trends in the data.
Example Prompt: Show me a count of each of the responses to question [name of question] in a table format.
3. Qualitative Data Summarization
Surveys frequently include open-ended questions where respondents provide free-form text responses. These answers can be challenging to analyze at scale, but GovAI simplifies this process by summarizing key themes and categorizing responses. GovAI can sift through thousands of text entries, pulling out recurring themes such as public safety concerns, infrastructure feedback, or environmental issues, allowing you to focus on the most significant insights.
Example Prompt: Summarize the key points from the 'xyz' column in my Excel survey dataset into 1 or more coherent paragraphs? Focus on the overall sentiment and any recurring suggestions or concerns.
4. Sentiment Analysis
When working with textual responses, sentiment analysis becomes a crucial part of understanding the overall tone of the responses. GovAI uses advanced natural language processing to analyze the sentiment of written feedback, identifying whether respondents feel positively, negatively, or neutrally about certain topics. By examining the sentiment across various responses, GovAI can help identify areas where respondent opinion leans positive or areas of concern that may require further attention.
Example Prompt: Perform a sentiment analysis on the responses to the question labeled 'xyz' in my Excel dataset. Please summarize the key statistics and provide any notable insights into the overall sentiment.
5. Search for Specific Themes
GovAI also enables users to search for specific themes or topics within survey responses, making it easier to focus on particular areas of interest. This feature is particularly useful when you want to dive deeper into how respondents feel about a particular issue or topic mentioned in the survey.
Example Prompt: Extract and list the main themes from the open-ended responses in the 'xyz' column of my Excel survey. Present the themes in bullet points with brief explanations.
6. Visualizing Results
One of the standout features of GovAI is its ability to present data visually. It can generate charts, tables, and graphs based on your survey results, offering clear and easy-to-understand visuals. This is especially useful for sharing findings with stakeholders who need quick and digestible overviews of the data.
Example: Show the responses to question 'xyz' as a pie chart, also include a table of the values used to plot the chart
Note that while this article focuses on the ability to analyze surveys, the same capabilities are also applicable to other scenarios in which you have to analyze data files that contain a mix of numeric values as well as plain text. This could take the form of a database containing details over approved zoning variances, or data from the field such as an infrastructure project.