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What is great Survey Data Analysis?
Survey data analysis is the process of drawing conclusions from what you’ve gathered. Whether this is hard percentages, qualitative statements, or something in the middle, going through your data and identifying patterns can help you figure out wider takeaways for the general population the data represents.
Why is Survey Analysis Important?
Survey analysis is important because it allows you to draw broader conclusions about your audience. Numbers on their own are meaningless, it’s the trends and patterns you uncover that allow you to make meaningful decisions.
What are the types of Survey Analysis?
Though there are countless variables you could be measuring in your surveys, most of them can be categorised into the following two types - Demographic and Psychographic data. The intersection of these two types of variables is usually where the most valuable insights come from.
How to Analyse Survey Data?
Body 4: Using AI to conduct your surveys can simplify this process by sending and analysing data at scale. Cutting edge machine learning technology allows questionnaires to be shorter without sacrificing valuable insight or bogging down your employees with endless work
Nilan PeirisVP Growth
"Chattermill enables our team to uncover customer insights deeper than ever before and focus on the key factors that make a difference to our users and drive our growth."
Dan MorossDirector of Customer Experience
"Chattermill has played a pivotal role in swifly spotting operational issues to enhance our physical product and the online experience."
Alex GenovHead of Insight
"The Chattermill algorithms worked really well with our customer comments data right out of the gate. On top of that the team is great to work with."