OrCam Learn is a web app platform, designed for monitoring and tracking the reading performance and comprehension of school students. It provides teaching teams with the ability to monitor student performance and make informed pedagogical decisions using the data gathered from the platform.

Role Product Design

Timeline September- October 2023

The Product

Background

In 2022, Orcam introduced the Orcam Learn device, which offers valuable support in measuring the reading performance and comprehension of readers. The objective behind designing this project was to gain insights into and understand the overall performance of teachers, enabling a quick assessment of areas that require reinforcement and identifying students who have shown significant improvement.

Design Hypothesis

Why?

The project's research question focused on identifying data visualizations that quickly generate motivation for action among teachers, rather than solely providing information. The hypothesis suggests that teachers prefer visualizations aligned with their familiar mental models from their routine work, as they may lack time and ability to understand complex databases. The goal is to find concise visualizations that resonate with teachers' existing knowledge, enabling immediate decision-making and action-taking.

My Role

The project team included three designers, and my primary role was to design the overall view of all the students for the teacher, enabling them to make pedagogical decisions regarding investment and areas of interest. I conducted research, characterized the architecture, and finalized the design, collaborating with the other designers to maintain a consistent system language.

Behavioural assumption

When/Where

One of the key insights gained from the initial round of the product was the disparity between the teacher's day-to-day activities and the accessibility of the platform. Consequently, the primary task was to assess the teacher's daily behaviour in conjunction with the tests conducted by the product manager, aiming to understand the specific information needs of teachers.

I asked question about

What.
Following the analysis of a student's daily readings, what steps does the teacher take? How does this analysis contribute to the teacher's assignment planning for the student?
How.
How does the teacher record and document information for all the students?
Where.
At what time during the day does the teacher review the students' performance, where does this typically take place, and how frequently do they report their activities to someone?

All the way to Milwaukee

How I discover which data teachers need to see and why they need it
I chose to conduct a contextual inquiry as a research method to gain insights into the data needs of teachers and the reasons behind those needs. By observing teachers in their natural work environments, I aimed to understand how they prioritize assistance for weak students over others. The research focused on gathering information about individual performance data, progress tracking, intervention history, and how teachers record and document student information.
During the contextual inquiry, I sent a series of questions to the product manager investigating Wisconsin milkweed at a high school. These questions aimed to uncover specific details related to teachers' decision-making processes and their approach to recording and reviewing student information. Key areas of inquiry included:

Research Insights

These insights demonstrate that teachers consider a range of factors, including academic performance, individual needs, class dynamics, behavioral and emotional factors, ongoing assessment, and data analysis when deciding which students to invest more time and support.

How I turn behaveiral insights into design

The design challenge was to convert Behavioural insights into design elements. I had three primary objectives:

Create a system for analyzing student texts efficiently, simplifying the process of identifying challenging words from texts students read the previous week.
Consider the various motivations of teachers to ensure the long-term value of this system for educators.

Research Using Fogg’s behavier Model Insights

In this case study, I present a user-focused solution designed to boost student reading comprehension. I applied the Fogg Behavior Model to create a system that motivates teachers and students, enhances usability, and employs effective triggers for desired actions.

Solve: Design Keymoments

Key

Affinity Map for Usability test

Wins

Frustration

Behavioral Pattern

Tips and device

Log in another student

Suggestions/ Refinements

Import File

Activate another device

Visual System

Colors

Typography

Primary Font - Roboto

Secondary Font - Proxima Soft

Iconography

Future Roadmap

What I have learned from this project?

Next Project