Taro
Taro
MindCET
(
2026
)
Taro is an AI-powered learning companion designed to give students certainty in their independent study process.
Unlike typical AI tools that simply summarize content, Taro focuses on meta-learning - teaching students how to learn by identifying 'blind spots' and suggesting personalized strategies.
As a product designer at MindCET, I’ve been leading the transition from single-session feedback to a holistic, long-term learning journey.
This "moonshot" initiative explores how advanced video analysis and AI can be applied in educational environments.
role
Lead Product Designer, Brand Designer & Builder
Industry
Edtech, AI Tool
The challenge
The Autodidact’s Paradox
Independent learners face more than just "Resource Fatigue"; they suffer from a persistent lack of structure and uncertainty.
Research identified a significant "Blind Spot Gap": a disconnect between what a learner actually does during a session and their awareness of those actions.
The Core Problem: Learners struggle to recognize in real-time when they lose focus, whether their learning is truly active, or if they are making genuine progress toward their goals.
Solution
Taro acts as a "Learning Architect" - an AI-powered partner that tracks study habits in the background and reflects non-judgmental, behavioral feedback to optimize independent learning.
Validation: The Smoke Test & Yeruham Pilot
Validation: The Smoke Test & Yeruham Pilot
We validated our hypotheses through two key phases:
Smoke Test
Designed a branded landing page ( Link ) that secured 70+ organic signups in one week, validating strong market demand and shifting the project from assumptions to concrete data before full development.
Yeruham Pilot
A physical pilot at a youth center to test the product’s behavioral impact under real-world conditions.
Key Pilot Findings:
The "Observer Effect"
60% of participants reported that knowing they were being recorded increased their commitment and focus, proving the interface can drive user engagement.
Prompting Reflection
60% of respondents stated they would change how they phrase their goals after reading Taro’s insights, proving the data reflection loop triggers immediate meta-cognitive awareness.
Friction Points
We identified a clear optimization goal during onboarding, as too many initial setup questions created high usage friction, blocking the user's time-to-value.
The Strategy
Merging Tech and Pedagogy
The project was born from an exploration of technological maturity meeting pedagogical need.
Technological Investigation
We analyzed the current limits of computer vision and AI analysis -determining what behavioral patterns can be reliably identified (e.g., focus drops, active vs. passive execution loops) and what requires careful interpretation to prevent data distortion.
Pedagogical Deep Dive
We reviewed literature on self-regulation, cognitive load, and meta-cognitive feedback mechanics to architect the optimal conditions for sustainable independent learning.
Target Audience
Focused on "serious" independent learners, primarily STEM students and professionals - data-driven users who prioritize optimization and are open to reflecting on how they execute.
Branding & Motion
Established a visual language of "Intelligence & Calm" to foster a trustworthy mentor-user relationship. Because tracking behavioral data requires absolute user trust, the dark themes and interface pacing were engineered to reduce performance anxiety and make data reflection feel empowering rather than punitive.
We believe the best products aren’t built for users, but with them.
Continuous Feedback
Through recurring webinar experiments and in-person youth center testing, we continuously gather qualitative and quantitative insights. This live user behavior directly informs our product roadmap and design optimization loops.
Agile Evolution
Each month, during our high-intensity MindCET marathons, we present our latest iterations as an Investor-Ready Pitch, ensuring the product experience and UI design consistently align with both user needs and stakeholder business vision.
The Living MVP
Our current state is a functional, highly agile MVP built to close the gap between design and running software. By taking full ownership of the brand identity, custom illustrations, and storytelling presentations, I crafted a deeply resonant, emotionally intelligent experience that built immediate user trust and high interest during our pilots, proving that the brand’s positioning was a key driver of engagement.
Additionally, by designing custom HTML email templates and the initial landing page hooked to growth automations, I directly drove the product’s distribution loop and early-adopter acquisition.
Key Outcomes & Reflections
Co-Created Growth
Successfully transitioned a theoretical technology exploration into a community-validated ecosystem with over 70 early adopters acquired organically in week one.
The Power of Process Feedback
Our research and live data loops confirmed that maximum value is unlocked when technical capability meets a deep human need. In growth and retention, the type of feedback (procedural, objective, and strictly non-judgmental) is just as critical as the data content itself.
Future Vision
The product architecture continues to evolve from providing immediate, single-session feedback to supporting a holistic, data-driven, long-term independent learning journey.
