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About This Automation
Customer satisfaction and quality monitoring require manual survey distribution, response collection, ticket scoring, and report compilation. This fragmented workflow consumes per cycle and produces low survey response rates and incomplete quality coverage.
Automation triggers surveys instantly upon ticket closure, consolidates responses automatically, scores interactions against a quality rubric, and generates live dashboards with coaching insights. Teams gain complete visibility into performance and customer sentiment in real time.
Key features:
Trigger CSAT surveys automatically when tickets close
Collect and consolidate survey responses from all channels
Score ticket interactions against your quality rubric
Generate live dashboards and monthly performance reports
Identify coaching opportunities and performance trends
Hidden Overhead™Context switching between survey sending, response tracking, and scoring.
7.1/ 10
How The Automation Works
The full workflow, from trigger to completion.
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1. Ticket Closedtrigger
Automation detects when a support ticket is marked resolved or closed. Captures ticket ID, customer email, name, and ticket category.
2. Send CSAT Survey
Automation immediately sends a personalized CSAT survey link to the customer via email. collects the response and stores it with the ticket reference.
3. Extract Transcript and Score Quality
Automation retrieves the ticket transcript or call recording metadata and uses the automation to score the interaction against the quality rubric, assigning scores for tone, resolution, knowledge, and empathy.
4. Log CSAT and Quality Scores
Automation writes the CSAT response and quality score as custom fields on the contact and ticket record, enabling real-time tracking and reporting.
5. Update Dashboard
Automation appends the CSAT and quality data to a Google Sheet, which automatically recalculates running averages by, ticket type, and time period.
6. Post Alert
If CSAT is below 3 or quality score is below 70%, automation posts a real-time alert so the manager can follow up immediately.
Everything you need to know before mapping this process.
The AI agent flags interactions that fall outside normal patterns or have low confidence scores. Managers receive alerts and can review these tickets manually to refine the quality rubric over time.