Data analysis

When analyzing your data, it can be easy to use words such as "significant difference", but in statistics, "significant difference" means more than just a big change from the previous period. In this article, we'll go through what statistical significance is, and when to test the significance. What is statistical significance? For any statistical data, there is a margin of error. In other words, your data will never be exact (unless you can test the entire population) but an

KPIs, Key Performance Indicators, are measurements of the user experience on your website, but they can also be used to evaluate changes you've made to your website. We offer three KPIs for our surveys: Find score , Ratings , and NPS . The KPIs differ from the other questions in your survey as the results are calculated and presented as scores. In this article, we'll go through how they are calculated and what scores are good.  Find score The find score is a measurement of th

Heatmaps are a good visual tool for analyzing your website and how the visitors interact with it. You can use it for evaluating if the visitors engage with the content, how they navigate, and if there are differences in behavior across devices. In this article, we’ll go through the three types of maps and how to interpret the information. This will not only help you understand the heatmaps you already have, but also help you understand what you can use heatmaps for moving for

If you are new to statistics, it's easy to exaggerate changes in your data. There are some things that need to be taking into consideration when comparing two time periods, or two sets of data. The number of responses (base) and how big the change is. As a general rule, if you have good bases of fairly equal size, you can consider a difference of 3 percentage points a change. Smaller differences than 3 percentage points are likely to be within the margin of error. However, th

It can be a bit difficult to know where to start when analyzing your data. We have several articles about how to analyze, what scores are good, when the data differs from the previous period, and so on. However, even with that knowledge, you still may not know where to start. Here is a suggestion. A step-by-step to analyzing your data Get to know your data. Look at the charts and categorize the comments. This will make the analysis easier. And take your time. Read the result

Before we got to what the bounce rate means for your website, let's start with what the bounce rate even is. When a visitor bounces, it means that they only visited one page, but they also didn't interact with the page (for example, played a video or downloaded a file).  You can find the average bounce rate for your website in the analytics dashboard (unless you have removed that widget), but also in your visitor overview. You find the bounce rate for paths or specifics pages

One thing to know when analyzing the average time spent on your website or specific pages is that time spent on exit pages is not included in the analytics. All exit pages, including bounces, have 0 seconds visit duration time. However, it is possible to measure the time more accurately, and you can see how to do that below.  Before we get to how to measure more accurately, let’s look at how 0 seconds on exit pages affects your average time spent on pages. How the average tim

One of the main advantages of our surveys it that they can help you to identify problem areas on your website, and you can use that information to improve the user experience. There are two main ways to identify problem areas: cross-tabulations and text answers. Cross-tabulations We offer cross-tabulations in our platform, which means that you compare the relationship between two questions. However, you can only compare your question of choice with one of your KPI questions (

When you are new to analytics, and perhaps even data analysis is general, the sheer amount of analytics data can be a bit overwhelming. We have several specific articles, for example about analyzing the bounce rate and the time spent on pages, how to track engagement, and so on. These are great when you want to delve deeper, but for now, let's look at the more basic information.  To start with, your analytics data can be split into two categories: data about your visitors, a