Survey reports help you track how your support team is performing, aggregate client responses and survey metrics, and analyze survey data.

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This report enables you to view all survey related data that you are gathering and you will be able to select which columns (data) to display.Image Removed.

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The Custom Table Report is useful for analyzing all aggregated survey data in one place, organized in a sortable, searchable table that you can further filter based on various criteria.

It gives you visibility into:

• Average rating for all tickets in the project
• Survey rating for every ticket where clients filled out a survey
• User survey comments on each resolved ticket
• Information about the ticket - issue key, summary, date when a survey was responded, assignee, ticket priority, etc.
• Which surveys were sent and when, 
• Which surveys have been responded and which are still waiting on the response
• Which emails the surveys went to and IP addresses from which the responses were received
• Ticket information like issue key, summary, reporter and assignee
• Ticket information like a clickable issue key, summary
• User comments from the survey
• Custom question that you set up in the survey and the answers received from users
  
  

For quick navigation, the issue key is clickable so that you can quickly get to the ticket details.

Data in this report is sortable, and can be filtered by date, it is also searchable which is especially useful for long string values like user responses. You can also sort data in the columns, search inside each column or the entire report and filter by date.

You can export the report to XLSX (more formats as PDF, CSV etc are coming) or copy data for further working with it.

Resetting report data

Let's say you have a 5 rate survey in the project and then the requirements change and you want to switch to a 10 rating scale. You configure a new survey, launch it but have very confusing data in your reports. What used to be a great rating of 5 now is mediocre at best, and your survey reports are no longer helpful because you can't rely on mixed data calculations.

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