Highlights
- The importance of user engagement and data governance in AI application success.
- The need for a strategic framework for change management and user adoption.
- Clear prompts and alternatives to help users navigate AI systems effectively.
- The risks and challenges of using open data sets like Microsoft 365 graph.
- The recommendation of using targeted data sets for better control and security.
- A thoughtful and cautious approach to AI implementation, considering end-user needs and concerns.
- Working towards a well-structured and governed AI system.
Key Insights
- User engagement and data governance are crucial for the success of AI applications. Ensuring users are involved and informed throughout the process enhances adoption and drives positive outcomes.
- The Prosci ADKAR framework serves as an example of a strategic framework for change management and user adoption. It provides a structured approach to manage resistance and ensure successful implementation.
- Clear prompts and alternatives are essential in helping users navigate AI systems effectively. This improves user experience and reduces frustration or confusion.
- Open data sets like the Microsoft 365 graph pose risks and challenges in terms of control and security. Using targeted data sets allows for better management and protection of sensitive information.
- Implementing AI requires a thoughtful and cautious approach that takes into account the needs and concerns of end users. This helps build trust and acceptance of AI systems.
- A well-structured and governed AI system is essential for long-term success. It ensures reliability, scalability, and adherence to ethical and legal standards.
- Change management and user adoption should be ongoing processes that continuously evolve and adapt to the changing needs and expectations of users and the organization.
Interested in learning more about AI user experience? Watch the video:
