Building AI for Users: Overcoming Expectations Mismatch
The article discusses the challenges of building an AI assistant for users with different learning preferences and expectations. It highlights the need to balance structured and free-form user experiences.
Why it matters
This article provides valuable insights on the challenges of designing AI assistants that cater to different user preferences and expectations.
Key Points
- 1Users had different expectations and preferences for using the AI assistant
- 2The team realized the problem was not just technical, but about user experience and expectations
- 3They are exploring a hybrid approach with both
- 4 and structured learning options
- 5Small user feedback can have a big impact on the product direction
Details
The article describes the team's experience of testing their BAINT AI Classroom Assistant with real students. They received feedback that some users were confused by the structured flow of picking a subject, choosing a topic, and then asking questions, while others expected a more free-form, ChatGPT-like experience. This revealed that there are at least two types of users: structured learners who prefer guided progression, and instant users who want quick access and free-form input. Instead of choosing one direction, the team is now exploring a hybrid approach that provides both an
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