These seven supplementary indicators provide crucial quantitative insights into how Hanna Prodigy is being utilized across your organization. Let's explore each one in detail and understand their significance for leaders and change professionals.
1. Prompts Executed across the company/initiative
What It Measures:
This metric tracks the total volume of interactions with Hanna across your organization or within specific initiatives. It's your pulse check on AI adoption and usage intensity.
Leadership Perspective:
For executives and leaders, this number helps gauge the overall adoption of AI within your organization. Trends in this metric can indicate the success of AI implementation strategies and highlight which teams or initiatives are leading in AI integration.
Change Professional Focus:
Monitor this metric to validate the effectiveness of Hanna adoption initiatives. Use trends to identify patterns in usage that might indicate successful change strategies or areas needing additional support and training.
2. Prompts Executed using Data Taught to Hanna
What It Measures:
This indicator tracks how often users are leveraging organization-specific knowledge that has been taught to Hanna, rather than just general AI capabilities.
Leadership Perspective:
This is a crucial metric for understanding how well your organization is capitalizing on its unique knowledge and expertise through Hanna. High usage of taught data suggests teams are effectively leveraging your organization's intellectual capital.
Change Professional Focus:
Use this metric to assess the effectiveness of knowledge transfer initiatives and the adoption of organization-specific AI capabilities. It's a key indicator of whether teams are moving beyond basic AI use to more sophisticated, organization-specific applications.
3. Company Smartnotes
What It Measures:
This metric represents the total count of Smartnotes created across your organization or within specific initiatives. It provides insight into how actively your teams are documenting and sharing knowledge through the platform. The number includes all Smartnotes, whether they're used for training Hanna or simply for knowledge documentation.
Leadership Perspective:
For executives, this metric indicates the overall engagement with knowledge management practices. A growing number suggests active participation in knowledge sharing and documentation, while stagnation might indicate barriers to adoption or areas needing attention. Track this alongside other metrics to understand how effectively your organization is building its knowledge base.
Change Professional Focus:
Use this metric to assess the success of knowledge management initiatives. Compare Smartnote creation rates across different teams or periods to identify best practices and areas needing support. This data helps in designing targeted interventions to encourage knowledge sharing and documentation.
4. Number of Smartnotes currently Learned by Hanna
What It Measures:
This tracks how many Smartnotes have been specifically used to train Hanna, either at the company or initiative level. It reflects the actual knowledge transfer from your organization's documentation into Hanna's strategic understanding, showing how much of your organizational knowledge has been actively integrated into the AI's capabilities.
Leadership Perspective:
This metric helps leaders understand how effectively their organization is leveraging documented knowledge for AI enhancement. The ratio between total Smartnotes and those learned by Hanna can indicate opportunities for better knowledge utilization and areas where AI integration could be improved.
Change Professional Focus:
Monitor this to ensure that valuable organizational knowledge is being effectively transferred to Hanna. A gap between total Smartnotes and those learned might indicate needed improvements in documentation quality or training processes.
5. Number of Untrainings Performed
What It Measures:
This metric tracks instances where knowledge has been actively removed from Hanna's training, either across the company or within specific initiatives. It reflects the organization's active management of AI knowledge and commitment to maintaining accurate, relevant information.
Leadership Perspective:
For executives, this metric indicates how actively teams are managing and refining Hanna's knowledge base. Regular untraining activity suggests healthy knowledge maintenance, while unusual spikes might indicate significant strategic shifts or quality control issues that need attention.
Change Professional Focus:
Use this metric to understand how effectively teams are maintaining knowledge quality. High untraining numbers might indicate needs for improved documentation guidelines or training processes. Low numbers could suggest either excellent initial training quality or insufficient attention to knowledge maintenance.
6. Number of Times Hanna Has Been Trained Since company Created
What It Measures:
This tracks the cumulative instances of knowledge sharing with Hanna since the company was created, including private smartnotes and organizational learning. This number is not decreased if you untrain a smartnote.
Leadership Perspective:
This metric indicates your organization's commitment to building a unique AI knowledge base. It shows how actively teams are contributing to the collective intelligence of Hanna Platform.
Change Professional Focus:
Monitor this to assess the success of initiatives encouraging knowledge sharing and collaborative learning. It's a key indicator of cultural transformation toward a more knowledge-sharing oriented organization.
7. Number of Times Hanna Has Been Taught in the Last 30 Days
What It Measures:
This tracks the cumulative instances of knowledge sharing with Hanna, including private smartnotes and organizational learning in the last 30 days. This number is not decreased if you untrain a smartnote.
Leadership Perspective:
Use this to track immediate responses to initiatives encouraging AI engagement and knowledge sharing. It's particularly useful for measuring the impact of recent training programs or communication campaigns.
Change Professional Focus:
This is your near-term pulse check on knowledge-sharing initiatives. Use it to identify immediate successes or challenges in encouraging AI engagement and adjust your approach accordingly.
Using These Metrics Together
These seven metrics work in concert to tell a complete story about your organization's AI journey:
- Compare total prompts against taught data usage to understand if teams are maximizing the value of your customized AI capabilities
- Look at historical teaching instances alongside 30-day data to identify trends and patterns in engagement
- Use these metrics to validate the success of specific initiatives or campaigns aimed at increasing AI adoption
Strategic Applications:
Together, these seven metrics provide a comprehensive view of your organization's knowledge management health and AI integration effectiveness. They help track not just the volume of knowledge being created, but how actively it's being managed and utilized within your AI strategy.
For Leaders:
- Track these metrics monthly to understand AI adoption trends
- Use them to inform decisions about resource allocation and training initiatives
- Identify high-performing teams or initiatives for best practice sharing
For Change Professionals:
- Monitor these metrics to validate change initiative effectiveness
- Use trends to identify where additional support or intervention might be needed
- Leverage success stories from high-performing areas to encourage adoption elsewhere
Remember: These metrics are most powerful when viewed together and in context. A decrease in overall prompts but an increase in taught data usage might indicate more sophisticated, targeted AI use. Similarly, a spike in teaching instances might signal successful knowledge-sharing initiatives.
By regularly reviewing these metrics alongside your 13 gauge indicators, you can develop a comprehensive understanding of how AI is being integrated into your organization's daily operations and long-term strategy.