Suitable data
Survey and evaluation data – Ignity is particularly suitable for survey data. Here people express their attitudes by ratings and giving open text comments. In Ignity we calculate and present answers via metrics (like averages, percentages, NPS scores etc) and make all comments easily accessible.
Other data – Although survey data is the ‘natural’ habitat for Ignity, other data can also be displayed. Any number that can be calculated as an average, a percentage or a sum value, for example the number of products ordered or the success rate of an online course.
Geography – If your data contains results in different countries and possibly also different cities or sites, Ignity can visualize the results on a map of the world. You can see the results per country and in different colors when targets are set. When zoomed in on a country you can see the scores for different cities or sites. Ignity has an interface that makes it very easy to see all the different country and city values in the data and map them to countries or specific locations on the map.
Continuous – If your data is collected continuously or at regular intervals (like monthly or quarterly), Ignity can plot how metrics are developing over time in line graphs. You can break down the metrics in any available characteristic to see trends in the data.
Demographic data and characteristics – If you have lots of information about the respondent or the object of the feedback, you will love Ignity. You can make selections based on any characteristic and can look at breakdowns or trends based on any characteristic. For example, look at the trend in customer satisfaction for different customer groups is a specific country.
‘Record by record’ – We work with record data. Meaning that if we have (for example) 12.000 respondents for a survey, we calculate all scores based on 12.000 records or entries. Like this we can calculate the metrics for any selected breakdown, like country, gender, age etc. etc.