How to Analyze Customer Satisfaction Survey Results

Analyzing customer satisfaction survey results dashboard with charts and metrics

How to Analyze Customer Satisfaction Survey Results

Collecting survey responses is only the first step. The real value comes from analyzing your customer satisfaction survey results correctly.

In this guide, you'll learn how to:

  • Calculate CSAT
  • Segment your data
  • Identify recurring issues
  • Track trends over time
  • Turn insights into action

Step 1: Calculate Your CSAT Score

Formula:

(Number of satisfied responses ÷ Total responses) × 100

Example: If 80 out of 100 customers selected "Satisfied" or "Very Satisfied":

CSAT = 80%

Track this monthly to identify patterns.


Step 2: Segment Your Results

Break results down by:

  • Customer type
  • Subscription plan
  • Region
  • Touchpoint (support, onboarding, checkout)

Segmentation helps uncover hidden issues.


Step 3: Analyze Open-Ended Feedback

Open-ended responses often reveal:

  • Feature gaps
  • Pricing confusion
  • UX friction
  • Support delays

Tag similar responses into themes.


Compare:

  • Month-over-month scores
  • Pre vs post feature releases
  • Before and after support improvements

Trends matter more than single data points.


Step 5: Turn Insights into Action

Identify:

  • Top 3 improvement areas
  • Quick wins
  • Long-term roadmap items

Advanced reporting tools make this easier: https://pollarity.io/features/advanced-analysis

For structured survey templates: https://pollarity.io/templates/customer-satisfaction-surveys