Story 03 ยท Data Product Design
Smart Wearable Analytics Dashboard
Building an anomaly-first dashboard that helps teams detect, triage, and act on wearable health signals faster.
Final Designs
We reframed the interface around action priority instead of chart density.
Research
Operator interviews and incident reviews revealed that teams needed risk-ranked queues and clearer action prompts.
Problem
Users saw too much data but lacked a consistent decision path for escalating high-risk events.
Design Exploration
We introduced risk buckets, context capsules, and protocol-aware actions to reduce triage latency.
Evaluation
Scenario tests with operations teams validated faster response and improved confidence in recommendations.
Impact
The final workflow reduced median time-to-triage and lowered false-positive handling burden.
Conclusion
The product became more useful when the UI prioritized decisions over raw information volume.