Context & Insights
| Business Insight | Problem
Opportunity
Goal
| - Tutors and students rely heavily on static textbooks and PDFs for learning
- Tutors repeatedly answer similar textbook-related questions across different students, and finding specific explanations, examples, or clarifications inside textbooks is time-consuming
If TutorOS enables users to ask questions directly against textbook content, it can
- Reduce repetitive tutor effort
- Improve student learning efficiency
- Increase perceived platform intelligence and stickiness
Enhance TutorOS’s learning experience by introducing an AI-powered feature that allows tutors and students to ask natural-language questions directly from assigned textbooks.
- Objective 1: Enable fast and accurate textbook-based question answering using AI
- Objective 2: Reduce tutor time spent answering repetitive content-based questions
- Objective 3: Increase student engagement with learning materials inside TutorOS |
| --- | --- | --- |
| User Insight | User Segments
User Problems | These segments are defined based on intended product usage rather than observed behavior.
- Student: Use textbooks as their main learning material. Often get stuck on specific concepts, definitions, or examples
- Tutor: Assign textbook and answer repeated questions related to the same material
Students need a fast way to clarify textbook content without waiting for tutor availability, but searching PDFs or rereading chapters is inefficient.
Tutors need a scalable way to support students’ content questions without repeatedly explaining the same textbook sections. |
Product Solution
A lightweight AI-powered feature that lets students and tutors ask natural-language questions directly from assigned textbooks, delivering instant, context-aware answers grounded in the actual learning material.
Address biggest pain points:
- Time-consuming search through PDFs or physical textbooks
- Repetitive textbook-related questions that tutors must answer manually
- Learning interruptions when tutors are unavailable
- Shallow understanding caused by skimming instead of targeted clarification
Core feature
| For Students | • Natural-language textbook Q&A: Ask questions in plain language (e.g. “Explain this concept in simpler terms”, “Give an example from chapter 3”) and receive answers grounded in the assigned textbook
• Context-aware explanations: Answers reference the relevant textbook sections, helping students understand why an answer is given, not just the result
• Instant support outside tutoring sessions: Get immediate clarification without waiting for tutor availability, reducing learning friction |
| --- | --- |
| For Tutors | • AI-assisted question handling: Use textbook-grounded answers to quickly respond to common student questions or guide explanations during lessons
• Teaching efficiency boost: Spend less time on repetitive content clarification and more time on personalized instruction |
| Shared Features | • Pre-indexed textbook knowledge base: All supported textbooks are centrally managed by TutorOS and available by default—no manual upload required
• Seamless in-product access: The feature is available directly within TutorOS, without switching tools or platforms |
Objective & Success Metrics
| Product Goal |
Enable instant, textbook-grounded learning support for students while reducing repetitive content-related workload for tutors. |
| Objective |
Launch a reliable AI-powered Textbook Q&A feature that improves learning efficiency and supports scalable tutoring. |
| Key Result |
Deliver accurate, textbook-grounded answers for common student questions |
Reduce time tutors spend answering repetitive textbook questions |
Increase student engagement with learning materials inside TutorOS |
| Success Metrics |
- % of responses that reference correct textbook sections |
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- % of answers tutors mark as “accurate” or “helpful” | - Tutor time saved per student
- Decrease in similar textbook questions asked across students | - % of active students using Ask Your Textbook at least once
- Average number of questions asked per student per week |
| Monitor Metrics | - Tutor feedback signals (thumbs up/down, quick rating)
- Manual review of sampled Q&A sessions
- Number of clarification follow-up questions per answer | - Frequency of repeated textbook-related questions
- Usage of AI-generated answers during or outside live sessions
- Tutor qualitative feedback (short survey or comments) | - Daily / weekly active users of the feature
- Question volume over time
- Retention comparison between users who use the feature vs those who don’t (cohort comparison) |
Requirements
| REF |
User Story |
Requirement |
Priority (MoSCoW) |
| REQ1 |
As a student, |
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| I want to ask questions about my textbook using natural language |
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| So that I can quickly understand concepts without manually searching the book. |
- Provide a text input field for users to submit free-form questions |
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- Allow questions related only to assigned textbooks
- Support common learning queries (definitions, explanations, examples, summaries)
- Display AI-generated answers in a readable, structured format
- Handle empty or invalid queries gracefully with user feedback | MUST-HAVE |
| REQ2 | As a tutor
I want to ensure AI answers are based strictly on textbook content
So that I can trust the accuracy and consistency of explanations. | - Generate answers only from pre-indexed textbook content
- Reference the relevant textbook section or chapter in each answer
- Prevent answers when no relevant content is found and show a fallback message | MUST-HAVE |
| REQ3 | As a tutor
I want to review and give feedback on AI-generated answers
So that I can maintain teaching quality and improve accuracy over time. | - Allow tutors to rate answers (e.g. helpful / not helpful) - Enable optional short feedback comments
- Store feedback for monitoring and future model improvements | SHOULD-HAVE |
| REQ4 | As a student
I want to easily understand and follow AI responses
So that I can learn efficiently without confusion. | - Highlight key terms or concepts in responses
- Support follow-up questions in the same context
- Display a brief disclaimer about potential inaccuracies | SHOULD-HAVE |
| REQ5 | As a product owner
I want to track how the feature is used
So that I can evaluate effectiveness and improve it. | - Log each question submission and response event
- Track usage by user role (student / tutor)
- Capture basic performance metrics (response time, failure rate) | COULD-HAVE |