How to Pick the Best Size for an Infographic and Make Experimentation Count

How to Pick the Best Size for an Infographic and Make Experimentation Count

Infographics have become a popular way to present information in a visually appealing and easily digestible format. But when it comes to creating an infographic, one important factor to consider is its size. The size of an infographic can greatly impact its effectiveness and readability. In this article, we will discuss how to pick the best size for an infographic and also explore some principles for making experimentation count.

When it comes to the size of an infographic, there are some general guidelines to follow. According to Edraw, the perfect infographic width should not exceed 600 pixels, while the length should be below or around 1800 pixels. This ensures that the infographic fits well on different devices and screens. However, for vertical infographics, the width can range between 600-1100 pixels. On the other hand, short-heightened infographics are best kept at a height of 2000 pixels or below, while larger infographics can go up to 5000 pixels with a width of 1200 pixels and a height of 900 pixels for horizontal infographics.

Now that we have established the guidelines for infographic sizes, let's shift our focus to experimentation and how to make it count. Experimentation is a crucial aspect of product development and can provide valuable insights into user behavior and preferences. However, there are some principles that need to be followed to ensure meaningful results.

One important principle is defining the proper 'exposed population'. This refers to the group of users who should see a particular feature or be a part of an experiment. It is essential to clearly define this group, as it determines who will be exposed to the feature and who will not. It is also important to distinguish the exposed population from the exposure rate, which determines the proportion of the exposed population that will be included in the experiment. To define the exposed population effectively, it is advisable to analyze historical data and get a sense of base rates. Without base rates, it becomes difficult to measure the impact of a feature change accurately.

Another principle for successful experimentation is to go big or go home. In other words, if you are uncertain about the impact of a feature or if your base rates are not substantial, it is best to launch something that you believe will make a significant difference. Making big changes is the only way to detect meaningful shifts in metrics, especially when the base rates are not substantial. It is important to remember that experimentation is not the only way to learn about your users. Collaborating with researchers and survey scientists who specialize in user behavior can provide valuable insights and bridge the gap in understanding your users.

In conclusion, picking the right size for an infographic is crucial for its effectiveness and readability. Following the guidelines provided by Edraw can ensure that your infographic is visually appealing and accessible across different devices. When it comes to experimentation, it is important to define the proper exposed population and understand base rates to accurately measure the impact of feature changes. Going big with changes that you believe will make a significant difference is also a principle to remember. Finally, remember that experimentation is not the only way to learn about your users, and collaborating with researchers can provide valuable insights. By incorporating these principles, you can make your experimentation count and create impactful features for your users.

Actionable Advice:

1. Before creating an infographic, consider the platform and devices it will be viewed on and follow the size guidelines provided by Edraw.
2. When conducting experiments, define the exposed population and understand base rates to accurately measure the impact of feature changes.
3. Collaborate with researchers and survey scientists to gain valuable insights into user behavior and bridge the gap in understanding your users.