BLRT
How do you design a learning app that feels built for you? We used data driven research to figure out exactly what kind of personalization and pricing users actually want, and what they don’t.
BLRT – Learning LLM
Product Designer
The Problem
BLRT is an AI-powered education app that adapts content to students’ knowledge levels in real time. But before expanding features, the team needed to understand:
What do users actually value in a personalized learning experience?
The Challenge
The challenge was to validate which features (like instant feedback, integration with classroom tools, and pricing) were worth building, and which weren’t worth the cost.
The Approach
I started with customer interviews and internal QA feedback. Themes quickly emerged:
- Users struggled to find specific data like entitlement info or Private Offer IDs
- Navigation lacked structure—people got lost moving between sections
- It wasn’t obvious that all three cloud services were actually available in one place
From there, I reworked the architecture to make discovery intuitive.
The Atttributes
We focused on 4 key attributes:
- Personalization (one-size-fits-all vs. adaptive learning)
- Feedback mechanism (basic vs. real-time + actionable)
- Cost ($4.99–$14.99 per month)
- Platform integrations (from minimal to seamless with Google Classroom, Microsoft Office, etc.)
Research Insights
- Cost (34.5%)
- Personalization (20.9%)
- Integration with external platforms (11.4%)
These findings helped prioritize what to build first, and how to position value clearly to users.
Recommendations
- Offer multiple tiers with clear value distinctions—don’t assume one price fits all
- Let users control how they learn—adaptive pace, learning style preferences, and visual feedback improve engagement
- Integrate with major platforms, but only if it serves core learning goals
Reflection
This project showed how valuable structured user research is for strategic design. Personalization sounds great in theory, but this work helped us define exactly what kind, for whom, and how much it’s worth.
BLRT
How do you design a learning app that feels built for you? We used data driven research to figure out exactly what kind of personalization and pricing users actually want, and what they don’t.
BLRT – Learning LLM
Product Designer
The Problem
BLRT is an AI-powered education app that adapts content to students’ knowledge levels in real time. But before expanding features, the team needed to understand:
What do users actually value in a personalized learning experience?
The Challenge
The challenge was to validate which features (like instant feedback, integration with classroom tools, and pricing) were worth building, and which weren’t worth the cost.
The Approach
I started with customer interviews and internal QA feedback. Themes quickly emerged:
- Users struggled to find specific data like entitlement info or Private Offer IDs
- Navigation lacked structure—people got lost moving between sections
- It wasn’t obvious that all three cloud services were actually available in one place
From there, I reworked the architecture to make discovery intuitive.
The Atttributes
We focused on 4 key attributes:
- Personalization (one-size-fits-all vs. adaptive learning)
- Feedback mechanism (basic vs. real-time + actionable)
- Cost ($4.99–$14.99 per month)
- Platform integrations (from minimal to seamless with Google Classroom, Microsoft Office, etc.)
Research Insights
- Cost (34.5%)
- Personalization (20.9%)
- Integration with external platforms (11.4%)
These findings helped prioritize what to build first, and how to position value clearly to users.
Recommendations
- Offer multiple tiers with clear value distinctions—don’t assume one price fits all
- Let users control how they learn—adaptive pace, learning style preferences, and visual feedback improve engagement
- Integrate with major platforms, but only if it serves core learning goals
Reflection
This project showed how valuable structured user research is for strategic design. Personalization sounds great in theory, but this work helped us define exactly what kind, for whom, and how much it’s worth.
BLRT
How do you design a learning app that feels built for you? We used data driven research to figure out exactly what kind of personalization and pricing users actually want, and what they don’t.
BLRT – Learning LLM
Product Designer
The Problem
BLRT is an AI-powered education app that adapts content to students’ knowledge levels in real time. But before expanding features, the team needed to understand:
What do users actually value in a personalized learning experience?
The Challenge
The challenge was to validate which features (like instant feedback, integration with classroom tools, and pricing) were worth building, and which weren’t worth the cost.
The Approach
We designed a study using Sawtooth’s conjoint analysis and discrete choice modeling, allowing us to test user preferences across multiple feature trade-offs.
The Atttributes
We focused on 4 key attributes:
- Personalization (one-size-fits-all vs. adaptive learning)
- Feedback mechanism (basic vs. real-time + actionable)
- Cost ($4.99–$14.99 per month)
- Platform integrations (from minimal to seamless with Google Classroom, Microsoft Office, etc.)
Research Insights
- Cost (34.5%)
- Personalization (20.9%)
- Integration with external platforms (11.4%)
These findings helped prioritize what to build first, and how to position value clearly to users.
Recommendations
- Offer multiple tiers with clear value distinctions, don’t assume one price fits all
- Let users control how they learn, adaptive pace, learning style preferences, and visual feedback improve engagement
- Integrate with major platforms, but only if it serves core learning goals
Reflection