cameron-haghighat.com

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