Feedback is an AI-powered platform designed to help workplace supervisors give more effective feedback to interns during work placements.
SCROLL
Problem (what was solved)
The "Feedback" addresses the problem of workplace supervisors in Work‑Integrated Learning giving feedback that is rushed, unclear, and often not developmentally useful, due to time constraints, role ambiguity, limited pedagogical training, and the emotional difficulty of delivering corrective feedback. This leads to students receiving feedback that is generic, compliance‑oriented, and hard to act on.
process (what was done and why)
We used a hybrid Design Thinking + Lean UX approach: starting with a structured literature‑driven discovery and affinity mapping to deeply understand supervisor‑side constraints, then translating those insights into explicit functional and non‑functional requirements. From there we iterated through low‑, mid‑ and high‑fidelity Figma prototypes, using heuristic evaluation and expert/stakeholder feedback as our validation loop. This combination let us ground the product in established WIL and feedback‑literacy research while still moving quickly and refining the interaction model through successive design cycles.
Design rationale (why the solution looks the way it does)
Focused the product narrowly on feedback and communication rather than a full LMS; embedded pedagogical scaffolding directly into supervisor workflows via goal‑setting modals, contextual Notes, and inline AI suggestions; positioned AI as an optional co‑pilot that enhances tone, clarity, and developmental focus without overriding human judgement; and added a Supervisor Contributions Dashboard to surface mentors’ effort and create tangible value for supervisors as well as students.
Watch the prototype and user flows
User Flows Across Core Features
