What would have made this course more valuable for you?
N
Course Evaluation Survey
Evaluator agent · 2.5K uses
Evaluator Agent
Training Feedback Survey Template
Training feedback forms waste everyone's time. Transform post-training feedback collection with intelligent conversations that adapt to each employee's experience. Automatically identify training gaps, highlight effective content, and gather specific improvement suggestions based on role and satisfaction level.
Honest insights
Higher completion
Actionable data
Used 1,217+ times
What's inside this template
Start from this conversation and adapt it to your team — change any question, add your own logic, and connect the tools you already use.
Questions it always asks
The core fields every response captures.
Rate the overall effectiveness of today's training session
Which concepts from today will you apply in your current role?
How it adapts
Follow-ups that change based on what people say.
If training satisfaction < 3, ask for specific improvement suggestions
If role = 'manager', ask about team application opportunities
Where it routes people
Different paths for different answers.
Route technical training feedback to Engineering L&D team
Route satisfaction scores below 2 to Training Manager immediately
Automations it can trigger
Actions that fire the moment a response comes in.
Send feedback summary to trainer within 2 hours via Slack
Create Jira ticket for training improvements when satisfaction < 3
Update employee training record in BambooHR with completion status
SOC 2 Type II and ISO 27001:2022 certified. Responses are encrypted in transit and at rest, and you own your data. View our Trust Center.
How this AI template works
The AI engages employees in natural conversation about their training experience, asking targeted follow-ups when satisfaction is low or specific skills weren't clear. It automatically categorizes feedback by training module and routes critical issues to L&D teams for immediate action.
Getting started
- 1
Connect your LMS or training calendar
- 2
Set satisfaction thresholds for follow-up questions
- 3
Configure routing rules for different feedback types
- 4
Launch automated surveys post-training completion
Template Details
- Agent Type
- Evaluator
- Category
- Education survey & form
- Industry
- SaaS / TechProfessional Services
- Business outcome
- Improve customer satisfaction
- Job to be done
- Collect customer feedback
- Journey stage
- Feedback & evaluation
- Replaces
- Survey tools
- Integrations
- Email, Slack, Webhook
- Times Used
- 1,217+
Forms collect fields. Conversations capture context.
Static forms force complex situations into rigid dropdowns. Perspective captures structured data and the reasoning behind it — so your team makes better decisions, faster.
The static form
yoursite.com/intake
Category *
Select...
Details
Describe your situation...
Submit
Result:Category: "Other"|Details: "It's complicated"
No context. No follow-up. No next step.
- Static training evaluation forms produce meaningless 1-5 ratings that don't explain why participants struggled with certain concepts or which delivery methods actually enhanced learning.
- Employees rush through checkbox training feedback forms because they feel like administrative paperwork rather than opportunities to improve future learning experiences.
- Generic dropdown menus can't capture the specific examples L&D teams need to understand which training content resonated, which instructors were most effective, or how different learning styles were accommodated.
The AI conversation
"Tell me more about the timeline — when did this start, and is there a deadline your team is working against?"
Extracted & structured automatically
Category
High-priority
Urgency
Deadline: 2 weeks
Sentiment
Frustrated but hopeful
Next step
Route to senior team
Triggered: Slack alert sent| CRM updated
Right team. Full context. Instant action.
- Adaptive conversations naturally encourage participants to share specific examples of training concepts they'll apply immediately, revealing which content truly drove behavior change rather than just satisfaction scores.
- Training feedback conversations feel like debriefing with a colleague, leading to completion rates above 85% and more thoughtful responses about program effectiveness and instructor performance.
- AI questioning adapts based on each participant's role and experience level, exploring different aspects of the training to provide richer insights than standardized rating forms ever could.
What makes training feedback actually useful?
Useful training feedback goes beyond satisfaction ratings to capture specific learning outcomes and improvement opportunities. The most valuable insights come from understanding which concepts participants will implement immediately, what delivery methods enhanced comprehension, and where content gaps still exist. When feedback collection feels like a natural conversation rather than administrative paperwork, training participants provide detailed examples of instructor effectiveness and program impact that help L&D teams make targeted improvements to curriculum design and delivery methods.
FAQ
Frequently Asked Questions
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Replace drop-off, poor qualification, and missing context with AI conversations that capture structured data and real understanding. Set up in minutes.
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