What are CSAT Surveys?
CSAT (Customer Satisfaction) Surveys measure how happy your customers are with the support they received. Atender’s survey system handles everything end-to-end: creation, delivery, multi-language localization, conditional follow-ups, and analytics.
Most teams trigger surveys after conversation resolution — the conversation moves from Done to Archived, indicating the issue is truly settled — at which point the customer gets a survey that fits how they were already in contact (email, SMS, in-app).
Three question types
- Rating scale — Stars, numbers, or emoji-based satisfaction rating (typically 1–5)
- NPS — Net Promoter Score (0–10): “How likely are you to recommend us?”
- Open-ended — Free-text follow-up for qualitative depth
Combine types in one survey. A common shape is a star rating followed by a conditional open-ended “tell us more” — captures both the number and the why.
Three delivery channels
- Email — Async support, conversations that resolved over multiple days
- SMS — Mobile-heavy customer base, time-sensitive, when email may go to spam
- In-app (web chat) — Conversations that happened in the chat widget — respond inline before the customer leaves
A single survey can be delivered across all three channels; Atender picks the channel matching how the conversation was conducted.
Multi-language
Each survey supports per-language versions. A Norwegian customer receives the Norwegian survey; a Spanish customer receives the Spanish one. Translations are managed centrally in Settings → CSAT Surveys → Languages tab. See Localize CSAT surveys.
Frequency controls (don’t fatigue customers)
Don’t survey every customer after every conversation. Frequency controls limit how often a single customer is asked:
- A “no more than once per N days per contact” cap
- A “skip if surveyed in last X conversations” rule
A customer who contacts you three times in a week should not get three surveys. Frequency caps prevent that.
Conditional follow-ups
Configure follow-up behavior based on response:
- Low rating → ask “what could we improve?” (qualitative depth)
- Very low rating → trigger an automation rule (alert a manager, create a case, escalate)
- No response → optionally send a reminder
This is where survey data becomes operational, not just reporting.
Where the data lives
- Analytics → Customers & CSAT view — Aggregate scores, NPS over time, response rates, breakdowns by channel/team/agent
- CSV export — Settings → CSAT Surveys → Export. Custom date range. For BI tools, board reporting, or deeper analysis
- Conversation timeline — The survey response (when received) appears as an event on the originating conversation
Where to start
- Build your first survey: Configure and deliver a CSAT survey
- Translate it: Localize CSAT surveys
- Trigger it from a rule: CSAT survey automation recipe
- Low response rates? FAQ — Low CSAT response rate