Overview
A Slack-based predictive assistant that detects early warning signals of laptop failure and surfaces plain-language root causes with guided resolution paths.
Role
Project Lead
Design PM
UX Research
Front-end dev
Team
Kira B.
Laura K.
Lexeigh K.
Thea B.
Timeline
Jan - Jun 2025
11 weeks
Sponsors
Amazon IT
Mike & Rolf
| CONTEXT
A Blue Screen of Death rarely happens out of nowhere.
Most system crashes are preceded by measurable signals. Rising boot times, elevated memory pressure, degraded battery cycles… but users only see symptoms: "my laptop froze," "it just went black."
How might we detect early failure signals and intervene before disruption occurs?
| GOAL
Reactive to Proactive IT
Traditional IT support is reactive: crash happens, ticket opens, replacement ships. By then, unsaved work is gone and productivity is lost.
The goal of our capstone is to shift enterprise IT support from reactive repair to predictive prevention. Translate raw device telemetry into plain-language guidance that non-technical users can act on — and route them to the right resolution path (self-fix, backup & replace, or reassurance) without wasting time on misdiagnosed tickets.
| TAKEAWAY
Data + interpretability = value
A confidence score means nothing if a user can't map it to an action.
UX must translate system signals into human decisions.
The hardest design problem was how to be proactive in a helpful non- creepy way.
Delegate Ownership
As much as I love this project, owning everything will lead to burnout. I learned to trust my team and it had been amazing!