Tracking usage statistics allows you to measure the adoption of Didask AI within your organization and identify the most active users. This data helps you evaluate the success of the rollout and optimize how you support your teams.
📖 Access to the dashboard
The statistics are available in the Didask AI section > Statistics tab.
- The data is updated in real time, giving you an immediate overview of activity.
- The statistics cover the use of both the learning assistant and the coach.
🔑 Key performance indicators (KPIs)
The dashboard shows you three essential metrics:
Messages sent
Meaning: overall volume of interactions with Didask AI
Conversations
Meaning: number of exchange sessions (several messages may take place in the same conversation)
Active collaborators
Meaning: Number of unique users who have interacted with Didask AI
👉 Time frame analysis
Trend graph
The graph showing messages sent allows you to:
View usage trends over the selected period
Identify peaks in activity (major training sessions, communication campaigns)
Detect drops in engagement requiring corrective action
Filtering by period
Available options: “Since the beginning,” “Last 7 days,” “Last month,” or a custom period with start and end dates
Tip: Use short periods (week/month) to analyze recent trends, and long periods to measure overall trends
👉 Individual user analysis
Detailed user view
For each active employee, you can see:
Last activity: date and time of last interaction
Number of conversations: number of chat sessions initiated
Messages sent: total volume of interactions
👉 User profile type identification
This view allows you to identify:
Super-users: employees who use the tool intensively (to identify your ambassadors)
Casual users: people with the potential to increase usage
Non-users: people who have access but do not use the tool
📂 Exporting and sharing data
CSV download
Exported data: messages sent and list of users with their statistics
Usage: in-depth analysis in your reporting tools or presentation to teams
✨ Analytics tips
💡 Trend analysis: monitor weekly trends to quickly detect changes in engagement
💡 Identification of champions: the most active users can become ambassadors to encourage adoption
💡 Post-rollout follow-up: measure the impact of training and communications on the use of Didask AI
Keywords: Didask AI, coach, learning assistant, monitoring, statistics, data
Any additional questions? Feel free to contact us at [email protected]. Our team is available to help and support you with your projects! 💬