The Insights Dashboard provides detailed reports and analytics, offering a deep understanding of how Lampi AI is utilized within your organization.
Key components of the insights dashboard
- User engagement: Track how teammates are interacting with Lampi AI. This includes metrics on the frequency of use and activity levels, helping you gauge the adoption and engagement rates among your team members. Detailed charts and graphs illustrate usage patterns, highlighting active users and identifying those who might need additional support or training.
- Uploaded or connected files: Monitor the number of files uploaded or connected to your Lampi instance. This feature provides insights into how Lampi is being integrated with your existing data and resources. It also helps in tracking storage usage and identifying trends in file management within your organization.
- Internal usage: Gain a comprehensive overview of the internal use of AI within your organization. This includes metrics on the number of queries made, agents utilized, recorded meetings, and other AI-driven activities. Understanding these metrics helps in assessing the effectiveness of Lampi AI in streamlining operations and improving workflows.
- Number of generated tokens: Track the total number of tokens generated within your organization over various periods. This metric is crucial for understanding the computational resources consumed and can help in budgeting and optimizing AI usage. It also provides insights into the scalability of Lampi AI as your organizational needs evolve.
Benefits of the insights dashboard The insights provided by the dashboard help you to understand the impact of Lampi AI on your team's productivity and operational efficiency. By analyzing these reports, you can:
- Identify areas for improvement: Pinpoint areas where Lampi AI can be better utilized or where additional training might be required. This helps in maximizing the value derived from the AI tools.
- Optimize resource allocation: Make informed decisions about resource allocation based on usage patterns and token generation. This ensures that your investment in AI is yielding the best possible returns.
- Enhance user adoption: Use engagement metrics to develop strategies for enhancing user adoption and engagement with Lampi AI. This could involve targeted training sessions, user support, or feature enhancements.
- Track progress and performance: Regularly monitor the performance and progress of AI integration within your organization. This ongoing assessment helps in maintaining high standards of productivity and efficiency.