Data Segmentation and Critical Flow Finalization Project

Closed
Progress AI
Vancouver, British Columbia, Canada
liam lytton
Employer
(11)
3
Project
Academic experience
120 hours per learner
Learner
Anywhere
Advanced level

Project scope

Categories
Product management Data analysis Software development
Skills
user research behavioral analytics artificial intelligence
Details

The main goal for the project is to segment the company's data in order to better understand user behavior and preferences. This will involve analyzing user features and finalizing a critical flow to improve the user experience. The project is for Progress AI, a company that uses AI to streamline the report card comment process.


Deliverables


What tasks will learners need to complete to achieve the project goal?


- Analyzing the company's data to segment users based on the features they are using.


- Presenting findings and recommendations for data segmentation and critical flow finalization to the company's stakeholders.


- Implementing the finalized critical flow and measuring its impact on user engagement and satisfaction.


- Providing documentation and a report outlining the process, findings, and outcomes of the data segmentation and critical flow finalization project.

Mentorship

We provide comprehensive support to students by getting on regular calls to discuss their progress and address any challenges they might be facing. Our team offers dedicated staff time for one-on-one mentoring sessions, ensuring personalized guidance tailored to each student's needs. We grant access to advanced tools and technology, enabling students to utilize the latest resources for their projects. Additionally, we facilitate access to valuable data sets and research materials, supporting their work with relevant and up-to-date information. This holistic approach ensures students receive continuous mentorship and the necessary resources to succeed in their projects.

About the company

Company
Vancouver, British Columbia, Canada
2 - 10 employees
It & computing, Academic association

Make Progress AI is an all-in-one feedback platform designed to streamline the process of providing meaningful and personalized feedback to students. It reduces the time educators spend on administrative tasks while enhancing the quality of feedback students receive.