Measuring the impact of Didask AI allows you to justify the investment and optimize its use. Although impact metrics are still being developed, you already have indicators available to assess the value provided by Didask AI.
📊 Available satisfaction indicators
Real-time user feedback
Users can evaluate each AI response via a rating system:
👍 Thumbs up: Useful and relevant response
👎 Thumbs down: Inadequate or inaccurate response
These evaluations are aggregated in a dashboard allowing you to:
Measure the overall satisfaction rate of responses
Identify the types of questions that generate the most dissatisfaction
This info is available in the Didask AI section > Feedback tab.
Engagement analysis
Usage statistics give you clues about valuable users find your training:
Repeat users: Frequent returns indicate perceived usefulness
Messages per conversation: Long exchanges suggest positive engagement
Growth in usage: Accelerating use demonstrates added value.
These statistics are available in the Didask AI section > AI Statistics tab.
📊 Indirect impact indicators
Reduction in support workload
Monitor changes in requests made to trainers and support teams:
Reduced number of repetitive questions
Fewer interruptions during training sessions
Gradual empowerment of learners
Improved learning experience
Look for signs of improvement:
Increased training completion rates
Fewer dropouts during training sessions
Positive feedback from learners about their experience
📊 Estimated ROI calculation
Time saved for trainers
Simple estimate:
Number of questions handled by AI × Average trainer response time
Example: 1,000 questions × 5 minutes = 83 hours saved per month
Improved productivity
Factors to consider:
Reduced time spent by employees searching for information
Faster skill development
Fewer errors thanks to better understanding
✨ Measurement tips
💡 Baseline: Document the situation before deployment (support time, learner satisfaction) to measure progress comparatively
💡 Qualitative Feedback: Supplement quantitative data with interviews with users and trainers
💡 Regular monitoring: Establish a monthly measurement schedule to detect trends quickly
💡 Communication: Share the first positive indicators to maintain and encourage team engagement
Keywords: AI Didask, coach, learning assistant, monitoring, impact, ROI
Still have questions? Don’t hesitate to contact us at [email protected]. Our team is here to help and support you in all your projects! 💬