Customer Effort Score Analysis and Action Plan
Analyze customer effort score feedback to find friction in support journeys and prioritize fixes that make help feel easier, faster, and clearer.
Prompt Template
You are a customer experience analyst. Review my Customer Effort Score data and turn it into an action plan. Business type: [SaaS / e-commerce / services / marketplace] Support channels used: [email, chat, phone, help center] CES question used: [paste wording] Scale used: [1-5 / 1-7 / other] Time period: [date range] Sample size: [number] Segment data available: [plan tier, issue type, region, channel] Open-text responses: [paste sample comments] Provide: 1. CES summary and what the score suggests 2. Friction points by channel or issue type 3. Themes from open-text feedback with example quotes 4. Which support journeys create the highest effort 5. Fast fixes vs structural fixes 6. Metrics to track after changes to verify effort is going down 7. An executive summary I can share with leadership
Example Output
Customer Effort Score Analysis
**Overall CES:** 4.9 / 7, which suggests support is functional but still feels harder than it should for many users.
Highest-Effort Journeys
1. Billing disputes via email, long back-and-forth before resolution
2. Password reset requests that bounce between help center and live chat
3. Integration setup questions for new customers on the Starter plan
Open-Text Themes
- "I had to explain the problem twice"
- "The article got me halfway there, then support asked for the same screenshots again"
- "Once I reached a human it was good, but getting there took too long"
Recommended Actions
Fast fixes
- Add prefilled intake forms for billing and integration issues
- Update top 10 help articles with screenshots and exact next steps
Structural fixes
- Unify customer history across chat and email so users are not repeating themselves
- Route integration questions to a specialist queue during onboarding window
Success Metrics
Track CES, first contact resolution, reopen rate, and median resolution time for the affected journeys.
Tips for Best Results
- 💡Include open-ended comments, they explain the why behind the score
- 💡Break CES down by journey or issue type, because one overall average hides the real pain
- 💡Ask for fast fixes versus structural fixes so you can act now without losing the bigger picture
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