Lantern's Answer Stats provides a powerful tool to analyze the answers within your quizzes, helping you understand user preferences and the effectiveness of your questions. This feature allows you to visualize answer distribution and popularity, offering insights that can drive more targeted content and quiz adjustments.
Accessing Answer Stats
To access Answer Stats, log into your Lantern dashboard and navigate to the Advanced Analytics section. From here, select the Lantern Events option, and then click on Explore Events. Within the events panel, you'll find the Answer Stats option located in the top right hand corner.
Navigating the Answer Stats Interface
The Answer Stats interface is intuitively designed to offer a comprehensive overview of how each answer within your quizzes is performing. Here’s what the interface includes:
Quiz and Question Selection: At the top of the panel, select the specific quiz and then a question you wish to analyze. This allows you to drill down into detailed answer statistics for any particular question in your quiz.
Version Control: You can select different versions of your quiz to compare how modifications have impacted user responses over time.
Graphical Display: The data is visually represented through modern, interactive pie charts that clearly delineate the distribution and popularity of each answer. Hover over any segment of the pie chart to reveal detailed insights, including the specific answer and its precise contribution to the overall results in percentage terms.
For our example, we use the quiz "Find your perfect pet food - LIVE" with a question "How old is your pet?". The Answer Stats might show that 56.25% of respondents have Puppy, 25% have a Senior dog, and 18.75% have an Adult dog.
Utilizing Answer Stats for Quiz Optimization
The insights gained from Answer Stats can significantly influence how you structure your quizzes and interact with your audience. Understanding popular answers helps you refine question phrasing or answer choices to better resonate with your target demographic. Furthermore, spotting outliers or less popular answers might indicate areas where quiz questions can be improved or updated to maintain user interest and improve data accuracy.