Collect satisfaction feedback on resolved tickets

Measure customer satisfaction on every support ticket with customer feedback automation that emails a CSAT survey when the ticket is resolved, keeping customer satisfaction tracking consistent.

Useful for
Customer support managers and customer experience teams who need reliable satisfaction data to monitor service quality and identify recurring issues.

Copied

When a ticket's status changes to resolved in [helpdesk/ticketing system], read the customer's name, email, ticket ID, and assigned support agent, then send a satisfaction survey from [survey tool, e.g. dedicated survey platform or form builder] with a link tied to that ticket to the customer by email through [email platform]. Record the survey send on the ticket in [helpdesk/ticketing system] and add a row to [feedback tracking spreadsheet] with the ticket details and send date.

Guided by AI

Build your own with Maia

Start with an app-agnostic prompt, then let Maia guide you to the right apps and workflow.

Adapt at speed with 
visual-first automation and AI

Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.

+2

Date

·

Duration

Problem

Support teams have no consistent way to measure customer sentiment once a ticket closes, since sending a satisfaction survey depends on someone remembering to do it manually. As ticket volume grows, surveys get skipped inconsistently, leaving customer satisfaction data incomplete and support quality difficult to track.

+2

Date

·

Duration

Solution

When a support ticket's status changes to resolved in the helpdesk, the automation reads the customer's name, email, ticket ID, and assigned support agent, then emails the customer a satisfaction survey with a link tied to that ticket. It records the survey send on the ticket and adds a row to a feedback tracking sheet with the ticket details and send date.

+2

Date

·

Duration

Impact

Customer satisfaction is measured consistently for every resolved ticket, giving support leaders reliable data to track service quality over time.

Benefits 

Who is this for? 

Customer support managers and customer experience teams who need reliable satisfaction data to monitor service quality and identify recurring issues.

Success stories

Adapt at speed with 
visual-first automation and AI 

Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.

Similar use cases 

Find inspiration by the type of content that fits your goals.

Date

·

Duration

Resolve support inquiries from knowledge base

When a customer sends a question through the support chatbot, an AI agent determines how to resolve it, querying the internal knowledge base to find relevant documentation, and deciding when the available knowledge is insufficient and a web search is needed to enrich its response. The agent adapts its research approach based on the nature and complexity of each inquiry rather than following a fixed lookup sequence, then replies to the customer in the chat.

Resolve support inquiries from knowledge base

Date

·

Duration

Route support tickets to specialists

When a new ticket arrives from any channel, the automation captures the ticket content and customer context, uses AI to categorize the issue type and complexity level, routes the ticket to the appropriate team or agent using predefined assignment rules, then uses AI to analyze the ticket against the knowledge base and previous resolutions to suggest the most relevant articles or solutions that match the issue, delivering these suggestions directly to the assigned agent.

Route support tickets to specialists