Overview
Spinnable allows you to improve your AI worker’s performance through conversational feedback. Rather than technical configuration, you can simply tell your worker what it’s doing wrong and how to improve — just like training a team member.How It Works
The Feedback Loop
- Observe - Notice when the worker provides incorrect or suboptimal responses
- Correct - Give feedback in natural language during the conversation
- Refine - The worker learns from your corrections and applies them to future interactions
Types of Feedback
Factual Corrections
Correct inaccurate information or outdated details
Tone Adjustments
Refine communication style and personality
Process Improvements
Optimise workflows and response patterns
Knowledge Gaps
Fill in missing information or context
Best Practices
Be Specific
Provide Context
Give your worker the “why” behind corrections so it can generalise the learning:Correct in Real-Time
The most effective feedback happens during actual conversations:1
Notice the Issue
Observe when the worker makes a mistake or could perform better
2
Provide Immediate Feedback
Correct the worker in the same conversation thread
3
Verify Understanding
Ask the worker to confirm it understood the correction
4
Test the Learning
Try similar scenarios to ensure the improvement stuck
Real-World Example: MDS Portugal
MDS Portugal, a healthcare technology provider, uses Spinnable’s feedback system to continuously refine their customer support worker.Initial Challenge
Their worker was providing technically accurate but overly complex explanations to healthcare providers who needed quick, actionable answers.Feedback Applied
Results
40% Faster
Average conversation time reduced
92% Satisfaction
Customer satisfaction score
60% Reduction
Escalations to human support
Feedback Patterns
Handling Edge Cases
When you notice the worker struggling with unusual scenarios:Example
Improving Empathy
Enhance the worker’s emotional intelligence:Example
Setting Boundaries
Teach the worker what it should and shouldn’t handle:Example
Measuring Improvement
Track how your feedback is impacting performance:1
Monitor Conversations
Review worker interactions regularly in the dashboard
2
Identify Patterns
Look for recurring issues or successful resolutions
3
Apply Systematic Feedback
Address patterns with targeted corrections
4
Verify Changes
Test the worker in similar scenarios to confirm improvements
Advanced Techniques
Scenario-Based Training
Create test scenarios to validate improvements:- Prepare test cases — Write example conversations that previously caused issues
- Run the scenario — Have the worker respond to the test case
- Evaluate performance — Check if the worker applies previous feedback correctly
- Provide refinement — Add additional feedback if needed
Collaborative Training
Involve your team in the feedback process:Team Training Best Practices
- Share effective feedback examples with team members
- Document common issues and recommended corrections
- Assign team members to focus on specific worker capabilities
- Review weekly to ensure a consistent training approach
Common Pitfalls to Avoid
When feedback alone isn’t enough
If a worker is doing something inconsistently even after repeated feedback, the fix is almost always a Skill — not a support ticket. Save the process as a skill and your worker will execute it the same way every time. Only reach out to support if you’ve tried direct feedback, skills, and the troubleshooting guide and still can’t resolve the issue.Next Steps
Worker Memory
Learn how workers remember information
How Workers Learn
Understand the learning process
Skills
Lock in consistent behaviour with reusable skills
Managing Workers
Best practices for managing your workers