Each rating you leave helps optimize the experience for all users in your organization.
👍 Response rating system
👉 Quick reactions
After each AI response, you can rate it with a single click:
👍 Thumbs up: the response was helpful and relevant to you.
👎 Thumbs down: the response did not meet your needs.
This simple rating allows your administrator to measure overall satisfaction and identify areas for improvement.
🔖 Detailed feedback for unsatisfactory responses
👉 Qualification tags
When you give a thumbs down, you can specify the problem encountered:
Content issues:
Incorrect answer: Incorrect or outdated information in your knowledge base
Incomplete answer: Lack of information on the requested topic
Off-topic: The AI did not understand the question or drifted off topic
Format issues:
Too wordy: Responses are too long, lack of summary
Too brief: Responses are not detailed enough
Did not follow instructions: The AI did not follow the user's specific instruction
💬 Free comments
You can also add a personal comment to:
Explain precisely what was wrong
Suggest improvements
Give examples of what you expected
🔎 Impact of your feedback
👉 Continuous improvement
Your feedback allows:
Your administrator to identify gaps in the knowledge base
Your organization to enrich its training and documentation resources
The Didask team to improve the technical performance of the AI
👉 Feedback processing
Administrators regularly review negative feedback
Recurring issues are prioritized for correction
The Didask technical team analyzes all feedback to improve the system
✨ Best practices for useful feedback
👉 Be specific
Instead of: “This answer is wrong”
Say: “The procedure described does not correspond to the new process used since January”
💪 Share positive feedback
👉 Highlight good answers
Feel free to give a thumbs up when:
The AI saves you time
The answer is clear and well suited to your context
You get exactly the information you are looking for
This positive feedback also helps your administrators identify what is working well in your knowledge base.
🗣️ Tips for feedback
💡 Respond systematically: Even a quick thumbs up without a comment is useful for measuring satisfaction
💡 Be constructive: Detailed comments on issues are more helpful than simple criticism
💡 Be generous: Didask AI improves thanks to your feedback, so give a lot to help it progress
Keywords: Didask AI, coach, learning assistant, feedback, ratings, knowledge base,