backlog management process improvement for a startup

Closed
Qoherent
Toronto, Ontario, Canada
Ashkan Beigi
Founder / CEO
(7)
4
Preferred learners
  • Canada
  • Academic experience
Categories
Engineering project management Software development
Skills
triage process improvement management software development
Project scope
What is the main goal for this project?

Qoherent is looking for a student intern to set up a system for managing our software development backlog and roadmap.

The student would take Qoherent’s desired feature list and translate it into a manageable and prioritized backlog in a tool such as Linear or Jira.

A successful project would result in Qoherent’s team of developers having a well curated and organized backlog, as well as a repeatable and measurable process for managing it.

What tasks will learners need to complete to achieve the project goal?
  • Review Qoherent’s products, development plans, and roadmap.
  • Work with Qoherent team to identify and document components and layout of existing Qoherent software.
  • Translate development plans into a task list.
  • Set up an appropriate project in tracking software such as Linear or Jira
  • Entry of relevant tasks, epics, and issues into the tracking software.
  • Under guidance of Qoherent staff, triage and prioritize items in tracking software.
  • Document methodology for adding, assigning, updating, and completing tasks.
About the company
  • https://qoherent.ai
  • 2 - 10 employees
  • Telecommunications, Technology, It & computing, Airlines, aviation & aerospace, Defense & security

Qoherent is an early-stage start-up that is driving the creation of AI-based radio technologies.

Qoherent provides solutions and a platform for integrating machine learning into software-defined radios, for the purpose of building robust, aware, and adaptive radio communication systems.

Qoherent’s current focus is on providing customers with software solutions for recognizing wireless activity with machine learning, as well as building a platform of software development tools to aid in creating machine learning models, deployable to heterogenous systems, that recognize radio waves.