What problem we solve
Traditional performance management fails because it relies on:- Memory — recency bias, forgotten contributions
- Manager subjectivity — inconsistent standards across teams
- Incomplete evidence — only what gets mentioned in the moment
- Vague definitions — unclear expectations
- Low adoption — too much admin, too little structure
- Capturing evidence continuously through connectors into project management, docs, and communication tools
- Structuring measurement into clear dimensions: Delivery, Skills, and Behaviors
- Prompting managers with observable checklists so reviews are consistent and comparable
- Producing explainable outcomes that feed into calibration, grades, and outcomes
What “evidence-based” means
Evidence-based does not mean surveillance. It means:- The platform helps managers see what work was delivered — tickets, projects, docs, stakeholder updates
- Work artifacts are linked to objectives and scorecards
- The system reduces reliance on opinions and incomplete recall
- Managers still make decisions — but with better context and less bias
How the platform fits the system
| Layer | What it does |
|---|---|
| Platform | Connectors, AI assist, evidence capture, review UI |
| Philosophy | Why we run performance like a system; A-player focus; three ingredients |
| Framework | Checklists, Scorecards, Talent Bar, Grades |
| Process | Quarterly cycle, calibration, roles, outcomes |