Transform customer ratings into actionable metrics with detailed analytics that help you understand satisfaction levels, track rating trends, and identify areas for improvement.
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Rating-based questions give you quantifiable insights into customer satisfaction and preferences. Whether through number scales, star ratings, or satisfaction levels, these metrics provide clear benchmarks for measuring customer experience and tracking improvements over time. Let's explore how to interpret these powerful indicators and use them to enhance your business decisions.
Track your overall rating performance through multiple views:
Current average score across your selected time period
Dynamic line graph showing rating trends over time
Middle reference line indicating the running average
Shaded area showing the range between highest and lowest ratings
Detailed tooltips on hover revealing specific data points
Understanding these metrics helps you identify not just your average performance, but also how consistent your ratings are and where fluctuations occur.
The bar chart breaks down how many customers gave each rating point, helping you:
Spot rating patterns
Identify rating clusters
Understand the spread of customer satisfaction
Detect potential polarization in customer experiences
When you apply user tag filters, you'll see how different customer groups rate their experience. This segmentation helps you:
Compare satisfaction across different customer types
Identify segments that need more attention
Recognize your most satisfied customer groups
Target improvements for specific audiences
Pro tip: For satisfaction questions, we convert sentiment levels into a 5-point scale (Very Satisfied = 5, Very Dissatisfied = 1) to help you analyse satisfaction feedback with the same powerful tools.
Provided that you've mastered quantitative feedback analysis, let's explore how to derive insights from your customers' written responses in the next section on short answer question analytics.
