Training Feedback Automation
This workflow achieves full automation of training feedback management, enabling real-time monitoring of feedback data and automatic categorization based on ratings. For negative feedback, improvement tasks will be quickly created and relevant personnel will be notified; moderate feedback will receive timely follow-up, while excellent feedback will be publicly praised on social media to enhance brand image. By leveraging multi-system collaboration, it reduces manual intervention, ensuring continuous improvement and timely response in training quality. This is suitable for corporate training management and HR teams, enhancing overall work efficiency.
Workflow Name
Training Feedback Automation
Key Features and Highlights
This workflow fully automates the management of training feedback by automatically generating tasks, sending email notifications, and posting positive feedback on LinkedIn based on different feedback ratings. It significantly enhances the speed and efficiency of feedback response and processing. Through multi-system integration, it ensures continuous improvement of training quality and timely follow-up on learner feedback.
Core Problems Addressed
- Automatically identify and classify training feedback by satisfaction levels
- Rapidly create improvement tasks for negative feedback to drive timely follow-up and resolution
- Publicly recognize good and excellent feedback to boost team morale and brand image
- Minimize manual intervention to avoid feedback omission and processing delays
Application Scenarios
Ideal for corporate training management departments, HR teams, and trainers—especially in scenarios requiring systematic collection and handling of learner feedback after multiple training sessions. It helps organizations efficiently manage training quality, quickly respond to negative feedback, and promote positive evaluations.
Main Process Steps
- Airtable Trigger: Monitor real-time additions and updates of training feedback data in Airtable.
- Rating Classification Switch: Categorize feedback into five levels—“Dissatisfied,” “Average,” “Good,” “Very Good,” and “Excellent”—based on learner ratings (1-5).
- Negative Feedback Handling:
- Receive task feedback results via Webhook.
- Automatically create urgent improvement tasks through the Usertask API.
- Send email notifications to responsible personnel to ensure prompt action.
- Moderate and Good Feedback:
- Automatically create follow-up tasks to ensure timely attention to feedback.
- High-Quality Feedback:
- Automatically compile feedback content.
- Publish commendation posts via the company’s LinkedIn account to showcase training achievements.
- Notify the marketing department by email to facilitate subsequent promotion.
- Task Detail Inquiry: Retrieve task details through the Usertask API to support ongoing follow-up and management.
Involved Systems and Services
- Airtable: Serves as the source of training feedback data and triggers real-time updates.
- Webhook: Receives execution results from Usertask.
- Usertask: Automatically creates and manages tasks according to feedback levels.
- Email Service (SMTP): Sends various notification emails, including urgent handling alerts and information sharing.
- LinkedIn: Publishes positive feedback posts to enhance public recognition and brand image.
Target Users and Value
- Corporate Training Managers and HR Teams: Automate training feedback management, improve work efficiency, and ensure rapid response to negative feedback.
- Trainers and Course Leaders: Gain timely insights into learner feedback to support course content and teaching method optimization.
- Marketing and Brand Promotion Personnel: Showcase training outcomes on social platforms to strengthen corporate influence.
- Any organization requiring systematic and automated handling of customer or employee feedback.
By seamlessly integrating Airtable, Usertask, email, and LinkedIn, this workflow automates the entire training feedback lifecycle—from collection and classification to task assignment and promotion—significantly improving response speed and quality, thereby supporting continuous enhancement of training effectiveness.