Product Manager & Engineer · 2025
PulseBoard
Internal Product (MetaMinds)
01
The Challenge
Engineering managers running multiple sprints across tools like Jira, Trello, and Slack had no unified view of project health. Deadline risks were discovered late, workload imbalances went unnoticed, and status updates required manual aggregation.
02
The Approach
Applied RICE prioritization to identify the highest-impact features, then designed a cross-tool integration layer that pulls real-time data from project management platforms. Built an ML-based risk predictor using historical task completion patterns.
03
The Solution
- Cross-tool integration pulling live data from Jira, Trello, and Slack APIs
- ML-based deadline risk predictor analyzing task completion velocity trends
- Team workload visualization with automated load-balancing suggestions
- SQL-backed reporting engine with customizable dashboards
- RICE-prioritized feature roadmap and go-to-market strategy
04
The Impact
0% Faster Status Updates
0+ Tools Integrated
0% Risk Prediction Accuracy
0% Deadline Improvement
Tech Stack
React Node.js SQL REST APIs ML Product Management
“PulseBoard proved that product management tooling needs consolidation, not more fragmentation — a single dashboard that predicts problems before they become crises.”