Remote teams need clear responsibilities, reproducible setup and evidence of work. Use the same service-request application throughout the programme: a customer submits a request, a team triages it, and the customer follows its progress. Begin with synthetic data and agree how questions, blockers and reviews will be handled.
Use the shared service-request product: customers raise requests, the team triages them and customers track their progress. Choose the assignment for your approved role. Scope the work to one demonstrable improvement and state what is not yet covered.
Suggested study session: read and plan for 20 minutes, practice for 60–90 minutes, check the result for 20 minutes, then record evidence and a short reflection. This is a suggested learning schedule, not required employment hours.
💻 Software engineering
Map the service-request workflow
Keep the change small and runnable; record the exact setup commands and supported environment.
Implement the named task in the service-request project, or an isolated practice branch if it does not belong in the main stack.
Check one normal case, one invalid input and one failure or empty state. Record the results and commit the work.
Evidence: A GitHub repository, commit, pull request or report showing today’s work and how to review it.
🎨 UI design
Map the customer journey
State the user goal, assumptions and screen or flow addressed by today’s assignment.
Create the named artifact in Figma with clear frames, component names and annotations. Distinguish assumptions from observed research.
Check readable text, keyboard/focus intentions, error and empty states. Explain one design trade-off and update the handoff notes.
Evidence: A viewable Figma file or prototype, with relevant frame names in your work log.
🔎 Software QA
Map the main success and failure paths
State the feature, environment, test data and scope before testing. Use synthetic data.
Create the named QA artifact in your evidence repository. For test cases, include preconditions, steps, expected results and actual results.
Record reproducible findings, severity and evidence. Mark tests not run honestly and identify one remaining risk.
Evidence: A GitHub repository, commit, pull request or report showing today’s work and how to review it.
Definition of done
The artifact addresses today’s named role task.
Your notes identify what you personally completed and how it was checked.
Links are accessible to the reviewer; private repositories need a reviewer invitation.
No passwords, access tokens, customer data or other people’s personal details appear in evidence.
You have written one learning point, blockers and actual time spent.
For a seven-person team, a useful starting split is three engineers, two designers and two QA learners. Rotate coordination and review duties. Your individual submission must distinguish your contribution from shared work.
Read the current official documentation for the feature you use. Record versions in your project README; avoid copying tutorials without understanding their assumptions.
Career & income practice
Passive-income experiment · Create a reusable asset
Outline a reusable UI kit, starter template, test checklist, or short tutorial. Identify who benefits and why they might choose it. Check that all code, fonts and materials are yours or properly licensed.
Apply this exercise to today’s orientation and remote working work. Save the result in your career notes. Income depends on demand, quality, effort and ongoing support; no earnings are promised.
Create a README that lists prerequisites, setup steps and one command to run a check. Ask a teammate to follow it without coaching. If they need a hidden step, update the document. Keep credentials in ignored environment files and supply only a safe example configuration.
Apply it today: connect this check to your assigned task, record the actual outcome, and explain one limitation in your work note.