Introduction
Customer support performance cannot be measured only by how quickly tickets are closed. A ticket may meet its service-level target while the customer still feels that communication was poor, the solution was incomplete or the process required too much effort.
This is why customer feedback should become part of the ticket-resolution process rather than a separate survey campaign managed weeks later. When feedback is requested immediately after a support issue is resolved, the customer still remembers the experience and the response can be connected with the exact ticket, support team and responsible agent.
Odoo 19 Helpdesk provides a built-in Customer Ratings feature that can automatically request feedback when a ticket reaches a closing stage. Customers can select Satisfied, Okay or Dissatisfied and can provide additional written comments. The resulting rating and comments are recorded against the original Helpdesk ticket.
For organizations requiring more detailed customer satisfaction surveys, Odoo Surveys can provide additional questions and structured questionnaires. However, it is important to distinguish between the standard Helpdesk rating mechanism and a customized multi-question survey integration.
The objective should be to create a feedback system that sends the right request after genuine resolution, captures useful information and automatically highlights dissatisfied customers before their experience becomes a larger retention problem.
Why Feedback Should Be Connected With Ticket Resolution
Many support teams collect customer satisfaction data through quarterly surveys or general marketing campaigns. These surveys may provide useful brand-level information but they often cannot explain which support interaction caused a positive or negative response.
Ticket-level feedback is more actionable because the response can be connected with operational information such as the support team, ticket type, responsible agent and resolution history.
A company can then investigate questions such as whether customers are less satisfied with a particular category of issue, whether one team receives stronger ratings than another or whether tickets requiring multiple reopenings tend to create poorer customer experiences.
Useful service-feedback analysis can include:
Customer satisfaction rating.
Support team.
Responsible agent.
Ticket category.
Resolution time.
SLA performance.
Number of interactions.
Reopened ticket rate.
Written customer comments.
Product or service involved.
The goal is not simply collecting more feedback. The goal is connecting satisfaction with the operational circumstances that produced it.
Use Odoo Helpdesk Customer Ratings as the Standard Starting Point
Odoo Helpdesk already includes a customer-rating mechanism designed specifically for post-ticket feedback.
Customer Ratings are enabled from the Helpdesk team's configuration under the Performance section. Once enabled, administrators can configure the stage that should send the feedback request.
The standard rating request offers three customer responses:
Satisfied represents a positive experience.
Okay represents a neutral or acceptable experience.
Dissatisfied indicates that the support experience did not meet the customer's expectations.
After selecting a rating, the customer can provide written comments on the feedback page. Odoo then stores both the rating and additional feedback in the ticket chatter which gives support managers direct context when reviewing the response.
For many support teams this simple mechanism is more effective than sending a long survey after every ticket.
Define a Real Resolution Stage Before Automating Feedback
The most important technical requirement is deciding exactly when a ticket should be considered resolved.
Odoo Helpdesk uses customizable stages for ticket pipelines. Odoo considers tickets in stages configured as Folded in Kanban to be closed.
This matters because Odoo specifically recommends that rating-request emails should only be configured on stages representing genuinely closed tickets.
For example, a support team may use stages such as:
New, In Progress, Waiting for Customer, Resolved and Closed.
If Resolved still means that the agent is waiting for final confirmation, triggering feedback there may be premature. The customer may receive a satisfaction request even though they still believe the issue is active.
The closing stage used for feedback should therefore represent actual operational completion.
Configure the Rating Request Email on the Closing Stage
Odoo can automatically send an email when a ticket enters a specific stage.
For Helpdesk customer ratings, administrators can select the preconfigured Helpdesk: Ticket Rating Request template on the appropriate closing stage. When the ticket moves into that stage, Odoo automatically sends the rating request.
This removes the need for agents to remember to send feedback requests manually.
Stage-level email templates are not limited to ratings. Odoo stages can also trigger configured email or SMS templates when a card reaches a specific stage.
The rating request should remain short. The customer has already spent time interacting with support, so the feedback message should make responding easy rather than introducing another lengthy task.
Understand the Difference Between Ratings and Surveys
The term customer satisfaction survey can mean two different things in an Odoo Helpdesk implementation.
The standard Helpdesk feature is a three-level customer rating with optional written feedback. It is designed specifically for evaluating support tickets and is tightly connected with Helpdesk reporting.
Odoo Surveys is a separate application designed for more detailed questionnaires. Surveys can contain multiple questions, sections, answer types and optional scoring. Participants can be invited through a survey link or by email.
| Requirement | Helpdesk Customer Ratings | Odoo Surveys |
|---|---|---|
| Simple satisfaction score | Excellent fit | Possible |
| Automatic request at closed stage | Native Helpdesk setup | Requires additional design |
| Written customer comments | Yes | Yes |
| Multiple questions | No | Yes |
| Detailed questionnaire | Limited | Strong |
| Ticket-level Helpdesk reporting | Native | Additional connection may be needed |
| Agent rating analysis | Native Helpdesk context | Requires mapping |
| Custom service research | Limited | Strong |
Businesses should use the simplest tool that answers their actual question.
When a Detailed Odoo Survey Makes Sense
A three-option rating is ideal when the main objective is monitoring support quality continuously. A full survey makes more sense when management needs to understand several dimensions of the customer experience.
A service organization might want customers to rate the clarity of communication, resolution quality, technician professionalism and overall effort required to resolve the problem.
Odoo Surveys supports structured survey creation with sections, multiple question types and configurable participation options. Survey links can be shared directly or invitations can be sent by email.
However, automatically generating and connecting a unique multi-question survey response with every closed Helpdesk ticket may require additional configuration or custom development depending on the exact requirement.
The standard Helpdesk rating feature should not be described as though it automatically provides a complete multi-question Survey-app workflow.
Keep Post-Resolution Surveys Short
Long surveys usually reduce participation.
A support satisfaction survey should focus on information that management can actually use. Asking fifteen questions after every support request may create survey fatigue and reduce the number of customers willing to respond.
A practical survey might ask for an overall satisfaction rating, whether the problem was fully resolved, how easy the process was and an optional written comment.
A more detailed quarterly relationship survey can then measure broader customer experience separately.
This creates a useful distinction between transactional feedback and relationship feedback.
Transactional feedback evaluates one support interaction. Relationship feedback evaluates the customer's broader opinion of the company.
Avoid Sending Feedback Before the Problem Is Fully Solved
Premature feedback requests are one of the easiest ways to create unreliable satisfaction data.
Suppose an agent moves a ticket to Resolved because they sent instructions to the customer. The customer tries those instructions later and discovers that the problem continues.
If the rating email has already been sent, the feedback is measuring the agent's administrative action rather than the actual customer outcome.
The support process should therefore define whether the organization considers a ticket resolved when the agent provides a solution or only after the customer has confirmed completion.
Odoo warns that cards moved into folded stages are considered closed and recommends using this configuration only for genuine closing stages.
That operational definition should be standardized before automation is activated.
Prevent Duplicate Feedback Requests
Customers should not receive another satisfaction email every time an old ticket is moved between closing stages.
This becomes especially important when organizations add custom automation around the standard Helpdesk behavior.
A more advanced implementation may introduce fields such as Rating Request Sent, Survey Sent Date or Feedback Received so an automation rule can exclude records that have already entered the feedback process.
Odoo 19 automation rules support triggers based on field updates, timing conditions and additional domain filters. They can also perform actions such as updating records, creating activities and sending emails or SMS messages.
Any custom automation should use clear conditions so one customer interaction creates one intentional feedback request.
Consider Whether Feedback Should Be Immediate or Delayed
Immediate feedback usually produces the strongest connection between the support experience and the customer's response.
However, some issues require the customer to use the solution for several hours or days before they know whether it really worked.
For example, an ERP integration problem may appear fixed during testing but fail again during the next scheduled synchronization.
In those cases, a company may choose to send a detailed survey after a short delay rather than immediately when the ticket is marked resolved.
Odoo automation rules support timing conditions based on date fields or record creation and update timing which can be used when a custom delayed-feedback design is required.
The delay should reflect the service rather than being applied arbitrarily.
Automatically Escalate Negative Feedback
Collecting a dissatisfied rating without acting on it creates little value.
A negative customer response should become an operational event.
For example, an organization may want a customer-success manager to review every dissatisfied ticket. A follow-up activity could be assigned to the support manager while high-value customers may receive additional escalation.
Odoo automation rules can create activities, send messages and update records when defined conditions are met.
A customized feedback process could therefore use the rating result as a trigger for follow-up actions.
The exact automation should be designed carefully because not every neutral or negative response requires the same escalation.
Keep Negative Feedback Connected With the Ticket History
Customer feedback becomes much easier to investigate when support managers can see the original ticket.
Odoo's standard customer rating records the submitted rating and optional customer comments in the ticket chatter.
The manager can therefore review the customer's complaint together with the support conversation rather than trying to interpret an isolated survey response.
This gives context around what was requested, how agents responded, how long the ticket remained open and what solution was eventually provided.
For complex service organizations, this connection is far more useful than a standalone spreadsheet showing that Customer A gave a score of two out of five.
Use the Customer Ratings Report
Odoo Helpdesk provides a dedicated Customer Ratings report under Helpdesk → Reporting → Customer Ratings.
Managers can use this report as part of routine support-performance analysis rather than waiting for customer complaints to reach management manually.
A practical reporting structure can include:
| KPI | What It Reveals |
|---|---|
| Satisfaction Rate | Overall support experience |
| Dissatisfied Ratings | Immediate service risk |
| Ratings by Team | Team-level service quality |
| Ratings by Agent | Coaching opportunities |
| Feedback Response Rate | Participation level |
| Resolution Time | Operational efficiency |
| SLA Compliance | Commitment performance |
| Reopened Tickets | Resolution quality |
Customer satisfaction becomes especially valuable when viewed alongside operational metrics.
Do Not Judge Agents Only by Satisfaction Scores
Customer ratings are useful but they should not become the only measure of agent performance.
An agent handling complex technical escalations may receive more difficult cases than someone working on password resets or simple account questions. Satisfaction scores can therefore be influenced by issue type, product stability and customer expectations.
Management should combine ratings with factors such as resolution time, SLA compliance, workload, first-contact resolution and ticket complexity.
This creates a more balanced service-performance model.
Customer feedback should support coaching and process improvement rather than becoming a simplistic employee ranking system.
Analyze Feedback by Ticket Category
Overall satisfaction percentages can hide specific service problems.
Suppose the organization has a 90% satisfaction rate overall but tickets related to a particular product integration receive significantly lower scores.
That may indicate a documentation or product issue rather than a support-agent problem.
A customized Helpdesk environment can add categories such as product, issue type, customer segment or service contract and use them when analyzing feedback.
Management can then identify whether dissatisfaction is concentrated around particular processes instead of responding to every low score as an isolated case.
Use Written Feedback for Root-Cause Analysis
Numeric or icon-based ratings identify whether the customer was satisfied but written comments often explain why.
A dissatisfied customer might write that the response was fast but the agent did not understand the original problem. Another may explain that the solution worked but required too many repeated follow-ups.
Those comments can reveal improvement opportunities around:
Communication, knowledge quality, product defects, handoffs, response consistency and resolution verification.
Odoo 19 also includes AI functionality for support workflows that can assist agents with analyzing ticket content and performing contextual support actions.
Organizations considering AI analysis of feedback should still retain human review for important customer complaints and escalations.
Feed Repeated Feedback Into the Knowledge Base
Feedback should improve future support operations.
If several dissatisfied tickets show that customers repeatedly struggle with the same setup step, the answer may not be hiring more support agents. The company may need a better knowledge article, clearer onboarding material or a product-interface improvement.
Support managers should periodically review recurring feedback themes and classify whether the underlying cause belongs to:
Support, Product, Documentation, Implementation, Training or Customer Communication.
This turns customer ratings into an operational improvement mechanism rather than simply another dashboard.
Connect Helpdesk Feedback With the Wider Customer Record
Support satisfaction can also be important to account managers and sales teams.
A customer with several unresolved support problems should not necessarily receive the same commercial treatment as one whose service experience is consistently positive.
Odoo Helpdesk can interact with the wider Odoo environment and tickets can even be converted into CRM opportunities when a support conversation reveals a commercial requirement.
More advanced implementations may expose recent support satisfaction within CRM or customer-success dashboards so account managers have additional service context before important renewals or commercial conversations.
The integration should remain purposeful rather than copying every ticket field into CRM.
Respect Customer Privacy and Communication Preferences
Feedback emails should be treated as part of the customer-service relationship and designed according to applicable privacy and communication requirements.
The organization should avoid sending unnecessary reminders or repeatedly contacting customers who have already provided feedback.
Survey responses may also contain sensitive information because customers sometimes use free-text fields to include account details, technical information or complaints about individuals.
Access to detailed feedback should therefore follow appropriate Odoo user permissions and internal governance.
Build a Controlled Feedback Automation Policy
Before enabling automation across every Helpdesk team, management should document when feedback is requested and what happens afterward.
The policy should define the closing stage, eligible ticket types, rating or survey format, resend rules, follow-up responsibility and escalation requirements.
Different Helpdesk teams may require different designs. A technical support team may need a short rating after every resolved incident while a professional-services team may benefit from a more detailed survey after major service engagements.
The technology should reflect these operational differences instead of forcing one feedback process onto every department.
How BrowseInfo Can Help With Odoo Customer Feedback Automation
BrowseInfo's current Odoo Helpdesk offering focuses on centralized ticket management, automated support workflows, SLA management, reporting and improving customer satisfaction. It also integrates Helpdesk with other Odoo applications such as CRM, Sales, Projects and Accounting.
BrowseInfo's Helpdesk solutions also include customer feedback and rating functionality after ticket resolution, along with support reporting and customer status communication.
A customized implementation can include Helpdesk team configuration, closed-stage design, customer rating automation, Survey integration, negative-feedback escalation, custom feedback fields and customer satisfaction dashboards.
For organizations migrating from another support platform, BrowseInfo also recommends validating tickets, assignments, email integrations, automation rules, portal access and reporting before production deployment.
The objective should be to collect feedback automatically without creating unnecessary communication or unreliable satisfaction data.
Common Customer Feedback Automation Mistakes
One common mistake is sending rating requests as soon as an agent marks their own work complete even though the customer has not received a confirmed solution.
Another mistake is building a long survey for every simple support interaction. More questions do not automatically create better insight if customers stop responding.
Businesses also frequently collect negative feedback without assigning ownership for follow-up. If nobody reviews dissatisfied responses, the feedback program becomes reporting rather than customer recovery.
Another major mistake is treating satisfaction scores as the only measure of support quality. Ratings should be analyzed alongside ticket complexity, SLA performance, resolution time and repeat issues.
Frequently Asked Questions
1. Can Odoo automatically request customer feedback after a Helpdesk ticket is closed?
Yes. Odoo Helpdesk can automatically send the Helpdesk: Ticket Rating Request email when a ticket enters a configured closing stage.
2. What ratings can customers provide in standard Odoo Helpdesk?
The standard Helpdesk rating request offers Satisfied, Okay and Dissatisfied options. Customers can also add written comments after selecting their rating.
3. Which Helpdesk stage should trigger the rating email?
Odoo recommends using a stage configured as Folded in Kanban because tickets in folded stages are considered closed. The request should only be sent after the issue is genuinely resolved.
4. Can Odoo send a detailed multi-question survey instead of a simple rating?
Odoo Surveys supports multi-question questionnaires and email invitations. Connecting a detailed Survey automatically with each Helpdesk resolution may require additional configuration or customization depending on the required ticket-level relationship.
5. Where can managers view Helpdesk customer ratings?
Odoo provides the Customer Ratings report under Helpdesk → Reporting → Customer Ratings. Ratings and written comments are also associated with the relevant ticket.
6. Can negative customer feedback create an automatic follow-up?
Yes with an appropriately configured automation. Odoo automation rules can create activities, update records and send communications when specified conditions are met.
7. Should satisfaction requests be sent immediately after ticket resolution?
Often yes but not always. Some technical issues require customers to use the solution before confirming success. In those cases, a controlled delayed survey may provide more reliable feedback.
8. Can Odoo customer feedback be connected with CRM?
Helpdesk operates within the broader Odoo environment and support tickets can be connected with customer records or converted into CRM opportunities when appropriate. More advanced satisfaction visibility inside CRM can also be implemented according to business requirements.
Conclusion
Customer feedback becomes far more useful when it is connected directly with the support interaction that produced it.
Odoo Helpdesk provides a strong standard foundation through Customer Ratings. Once the feature is enabled and the rating template is assigned to a genuine closing stage, customers can automatically receive a feedback request after resolution and their ratings can be reviewed through Helpdesk reporting.
Organizations that need more detailed research can extend the process with Odoo Surveys but the two capabilities should not be confused. Standard Helpdesk ratings provide a simple ticket-level satisfaction mechanism while multi-question surveys require a broader survey design and may need customization for automated ticket-specific integration.
The strongest feedback strategy also defines what happens after the response arrives. Positive ratings can confirm that existing processes are working while neutral and dissatisfied ratings should help managers identify communication problems, documentation gaps, recurring product issues or customers requiring immediate follow-up.
When Odoo Helpdesk, Customer Ratings, Surveys, automation rules and service reporting are configured around a clear resolution policy, customer feedback stops being an occasional questionnaire and becomes a continuous source of operational insight.
The result is a support environment that does not simply measure how many tickets were closed. It measures whether those resolutions actually created a satisfactory customer outcome.
