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Analyzing Surveys

Analyze thousands of survey responses in seconds

Surveys are a powerful tool for collecting customer feedback and insights. However, analyzing the data can be a daunting task, especially when dealing with large amounts of data. In this guide, we'll take you through the basics of survey analysis, from understanding what it is, to analyzing qualitative and quantitative data, and even how to analyze thousands of survey responses in seconds with Insight7.
The best part? Doing it with AI.

How to analyze surveys

Step 1: Clean and Organize the Data

Before you can analyze the data, you need to ensure that it’s clean and organized. This involves removing any errors or inconsistencies and formatting the data in a way that makes it easy to analyze.

Step 2: Identify Key Metrics and Trends

Once the data is clean and organized, you can start identifying key metrics and trends. Look for patterns and themes in the data to gain insights into what customers are saying and what they want.

Step 3: Create Visualizations

Visualizations can help you better understand the data and communicate your findings to others. Create charts, graphs, or tables to present the data in a way that’s easy to understand.

Step 4: Draw Conclusions and Take Action

Based on your analysis, draw conclusions and take action. Use the insights gained from the survey to make data-driven decisions that can improve your products or services.

 

How to analyze surveys in qualitative data

Qualitative data is non-numeric data that provides insights into opinions, feelings, and attitudes. Here are some tips for analyzing surveys that contain qualitative data:

  • Identify themes: Look for common themes or topics that arise in the responses.
  • Categorize responses: Group similar responses together to create categories.
  • Use quotes: Use quotes from the responses to support your analysis.
  • Be objective: Avoid bias and make sure your analysis is objective.

 

How to analyze survey data with multiple responses

When analyzing survey data with multiple responses, it’s important to ensure that the data is clean and organized. Here are some steps to follow:

  • Clean the data: Remove any errors or inconsistencies in the data.
  • Organize the data: Format the data in a way that makes it easy to analyze.
  • Identify the most common responses: Look for the responses that occur most frequently.
  • Look for patterns: Identify patterns or trends in the responses.
  • Categorize responses: Group similar responses together to create categories.
  • Create visualizations: Use charts or graphs to present the data in a way that’s easy to understand.

 

The steps in this guide are the traditional or manual methods to analyze surveys which are typically time consuming and painstaking. Here’s how to execute all these steps in seconds with Insight7.

How to analyze surveys in seconds with AI.

Step 1: Upload all research files (survey responses in csv, pdf, doc, docx, txt) to a new project on Insight7. 

Step 2: Give it a title and save. 

Step 3: Click on ‘Analyze project’ and in seconds, insights are generated. You can also visualize the customer pain points, desires and behaviors displayed in topical frequency bars and themes.