Tools like Google Forms

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Survey Monkey often offer free reports that organize your data, and even include illustrations where possible. For quantitative research, collect the raw data using a simple spreadsheet or more advanced data storage software. Once collected, tools like Google Data Studio or Tableau allow you to organize and represent the data in graphs or charts. For our shoe company, we will collect qualitative data through our focus groups and interviews. We may also collect quantitative data using Semrush .

For example, Semrush's Traffic Analysis tool  Azerbaijan WhatsApp Number provides traffic figures for a competing web. Here's a look at the main Saucony pages. Semrush Traffic Analysis Main Page Using the Top Pages report, we can discover which landing pages are receiving a high volume of traffic. For example, it could be a page with an upcoming product launch, like Saucony's Endorphin Pro+ shoes. Semrush Traffic Analysis main page example Promotional page for a new Saucony product In our focus groups, we might study customer reactions to this launch, or compare traffic numbers or sources.



With competitors' new launches. Step 4: Analyze data and generate insights Analyzing your data helps you uncover the answers to your original study question and turn those answers into strategies. This process begins with organizing the data. With quantitative data, gather it and centralize it, in a spreadsheet for example. Organize assessments, rankings, yes or no answers, multiple choice question selections, and other data. Once the data is organized, mine the numbers to find averages, ranges, or other important statistics.