06 — Benchmarking
06 – Benchmarking
How to Read This Chapter
Benchmarking enables fair comparison, capability mapping, and evidence-based resource allocation across labs, hubs, and networks.
6.1 Purpose of Benchmarking
Benchmarking identifies:
- performance differentials,
- capability gaps,
- high-performing and struggling units,
- system learning opportunities.
6.2 Benchmarking Principles
- Normalization
- Evidence-Based
- Transparency
- Comparability
- Purpose-Driven
- Continuous Learning
6.3 Benchmarking Architecture
6.3.1 Tier-0
Evaluates:
- IMM-P execution,
- evidence completeness,
- rigor,
- MEL results,
- IGF compliance.
6.3.2 Tier-1
Evaluates:
- capability support,
- portfolio coordination,
- MEL review quality,
- documentation hygiene.
6.3.3 Tier-2
Evaluates:
- interoperability,
- governance consistency,
- documentation flow,
- system learning.
6.4 Benchmarking Indicator Groups
- Execution (IMM-P)
- Capability (IMM)
- Governance (IGF)
- MEL indicators
6.5 Normalization Rules
Account for:
- mandates,
- maturity,
- team size,
- domain complexity.
6.6 Benchmarking Methods
- comparative,
- longitudinal,
- cluster-based,
- network-level.
6.7 Benchmarking Process Flow
- Indicator verification
- Data submission
- Normalization
- Consolidation
- Analysis
- MEL integration
- Reporting
6.8 Outputs
- benchmarking reports,
- capability plans,
- funding recommendations,
- cross-lab learning priorities.
6.9 Connection to KPIs & Scorecard
Benchmarking provides comparative context for KPI interpretation in Chapter 07.