Sensei AI

I designed Sensei AI assisttant that helps teachers by generating lessons and personalized feedback. It saves grading time, streamlines administration and supports professional development, enabling teachers to focus on effective instruction and student engagement.

CLIENT

Benesse

CLIENT

Benesse

CLIENT

Benesse

Role

Founding UX designer

Role

Founding UX designer

Role

Founding UX designer

key Strategic Decisions

Led UX strategy, Conceputlization, Responsive Visual Design

key Strategic Decisions

Led UX strategy, Conceputlization, Responsive Visual Design

key Strategic Decisions

Led UX strategy, Conceputlization, Responsive Visual Design

Context

How Might We

Design an intuitive AI Assistant that streamlines administrative work and helps teachers efficiently and create personalized learning materials to enhance student engagement
Design an intuitive AI Assistant that streamlines administrative work and helps teachers efficiently and create personalized learning materials to enhance student engagement

Key Challenges

Key Challenges

Key Challenges

3 major gaps

Designing for Speed and Simplicity
Creating simple worksheets takes approximately 15 minutes each day, indicating a need to streamline and speed up the process
High Administrative Burden Reducing Instructional Focus
Designing for Speed and Simplicity
Indiability to focus on instruction and student engagement. Need for
streamlining these tasks and support professional growth.
Creating simple worksheets takes approximately 15 minutes each day, indicating a need to streamline and speed up the process
Indiability to focus on instruction and student engagement. Need for streamlining these tasks and support professional growth.


Lack of Visibility into Individual Performance
While each student's performance is mapped across various topics,
there is a lack of clear visibility into individual strengths and
weaknesses making it challenging to identify areas for improvement
High Administrative Burden Reducing Instructional Focus
Indiability to focus on instruction and student engagement. Need for streamlining these tasks and support professional growth.
Lack of Visibility into Individual Performance
While each student's performance is mapped across various topics,
there is a lack of clear visibility into individual strengths and
weaknesses making it challenging to identify areas for improvement
While each student's performance is mapped across various topics, there is a lack of clear visibility into individual strengths and weaknesses making it challenging to identify areas for improvement

My Approach

Zero Based Design by Mckinsey

Reimagining the teaching experience from the ground up, focusing solely on what teachers need to engage students effectively. This user-first mindset ensures the assistant is intuitive, impactful, and truly transformative.
Reimagining the teaching experience from the ground up, focusing solely on what teachers need to engage students effectively. This user-first mindset ensures the assistant is intuitive, impactful, and truly transformative.

0-1 Product Launch Strategy

Collaborated with PMs, engineers and internal stakeholders to create seamless AI exerience
Benchmarking with two platforms
Compared two leading products in market with their AI-assisted workflows and UI layouts to ensure intuitive navigation

01

Enhanced user flows
Focused on cross-device usability to ensure accessibility in low-resource settings

02

Hueristic evaluation
Heuristic evaluation of live version revealed critical usability gaps: poor error prevention, inconsistent IA, and cognitive overload—requiring immediate UX optimization

03

Hi- fidelity protoypes with use cases
Creating personalized worksheets and lesson plans using AI. Responsive flows crafted for critical moments (e.g., feedback generation, content creation)

04

Deliverables

Ensuring Product-Market Fit

Facilitated collaborative design walkthroughs from wireframes to high-fidelity prototypes, ensuring strong validation, stakeholder buy-in, and alignment with product goals.
Facilitated collaborative design walkthroughs from wireframes to high-fidelity prototypes, ensuring strong validation, stakeholder buy-in, and alignment with product goals.

Next Steps on Future Directions

Refine the AI interaction model to enhance natural language understanding and increase the accuracy of personalized content generation. Begin user pilot testing to gather real-world feedback on AI-driven workflow improvements.

Lesson learned

Designing for Clarity and User Trust

Effective AI assistant design requires incorporating mechanisms that detect and resolve ambiguous teacher query through clear prompts, improving accuracy and trust
Effective AI assistant design requires incorporating mechanisms that detect and resolve ambiguous teacher query through clear prompts, improving accuracy and trust

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