|
|
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 .Trends tools. For example, Semrush's Traffic Analysis tool provides traffic figures for a competing website. 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 Jiangxi Mobile Number List 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 initial study question and turn those answers into strategies.
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. For qualitative data, review all data collected and categorize it. For example: concerns, questions, frustrations, strengths, weaknesses, recommendations. Organizing this data will help clarify themes. Once your data is organized, revisit your initial research objectives. Here are some guiding questions: Does the data show trends? Can I find explanations for these trends?
|
|
發表於 12:18:40