Ending
Reflection
What I think regards design scope for AI product.

Educating Users on Generative AI:
Balancing Data Security, Risks, and Expectations
In our research and interview, many users, especially those who work for big companies, mentioned that they have strict policies for AI products and data security.
I think it's essential for Drlambda or other AI products to educate users on what generative AI can bring and how the website uses the data. Users should know the risks and advantages of generative AI to expect the result.
In my personal experience, I always want to test AI product's constraints, corner cases, and boundaries. This way, I can correctly utilize the product, avoiding asking AI to do what it cannot.
Future Plan and beta testing
1. Observe the change in user base and distribution.
a. Track the click-through rate for templates in the dashboard. Analyze what kind of templates users like based on their jobs.
b. Study returning users' behavior and adjust the dashboard homepage layout for them.
2. Beta testing for 30% of users for solution 2 & 3. See if it benefit for most users by tracking the feature use rate. Think what can we do to make the features versatile to fit most users?
3. See which layout presets are popular. We may adjust the layout category based on users' needs.