This guide shows you how to effectively analyze survey data within the Userorbit Admin Panel to gain actionable insights.
Before You Begin
- Access to the Userorbit Admin Panel.
- At least one active survey with collected responses.
Steps
- Navigate to Survey Analytics — From the Userorbit Admin Panel, locate and click on the "Surveys" feature in the navigation menu. Select the specific survey you wish to analyze.
- Review Response Summaries — On the survey's analytics page, observe the key metrics such as "Total Responses" and "Response Rate" to get an overview of participation.
- Examine Aggregate Scores — Identify and review aggregate scores like "NPS Score" (Net Promoter Score) and "CSAT Average" (Customer Satisfaction Score) to gauge overall sentiment.
- Analyze Response Distribution Charts — Look at the visual charts (e.g., bar charts, pie charts) that display the distribution of responses for different survey questions. This helps in understanding common answers or sentiment.
- Read Individual Responses — Scroll through the individual response section to read qualitative feedback. This provides deeper context and insights that quantitative data might miss.
- Apply Filters for Targeted Analysis — Use the available filtering options to narrow down responses. You can filter by "User Properties" (e.g., user segment, plan type) or "Date Range" to analyze specific cohorts or periods.
- Identify Trends Over Time — If available, use the time-series charts or date range filters to observe how responses or scores change over different periods, helping to identify emerging trends or the impact of product changes.
- Export Survey Data — Locate and use the "Export" functionality (e.g., to CSV or Excel) to download the complete survey data for further, more detailed analysis using external tools.
Verify It Worked
You have successfully analyzed your survey data when you have reviewed the key metrics, understood response distributions, read relevant individual feedback, and identified any significant trends or insights, optionally having exported the data for deeper dives.