| Criteria |
Weight |
Bad (1–25) |
Good (26–50) |
Distinction (51–75) |
Excellence (76–100) |
| Impact Expansion & Ecosystem Contribution |
25% |
Used only within original internal unit |
Adopted by more than one unit |
Implemented across BINUS Group (internal scaling) |
Expanded beyond BINUS (national/international adoption) contributing to intelligent society ecosystem |
| Sustained Implementation & Continuous Improvement |
30% |
Slightly implemented; no clear improvement cycle |
Partially implemented with limited enhancement |
Mostly implemented with ongoing refinements and optimization |
Fully institutionalized, continuously improved, data-driven, and scalable across ecosystem |
| Stakeholder Value & Measured Outcomes |
20% |
Inappropriate or unclear measurement methods |
Measurement method exists but not fully implemented; limited evidence |
Outcomes reported but measurement clarity or consistency limited |
Clear, data-backed outcomes demonstrating stakeholder satisfaction and measurable value creation |
| Commercial / Replicability & Strategic Leverage |
15% |
Minimal commercial or replication potential |
Limited commercial/replication feasibility |
Clear commercial or replication potential; addresses practical deployment aspects |
Strong commercialization/replication model with fast execution readiness and strategic market or ecosystem leverage |
| Learning Agility & Knowledge Orchestration |
10% |
Lessons learned unclear |
Lessons learned identified but vague |
Clear articulation of lessons learned |
Clear lessons learned with structured mitigation strategies and knowledge shared through KM ecosystem |
