Evaluation Framework
The short answer · 13 words
In short
An evaluation framework systematically determines what, how and under which conditions is evaluated.
Flow-alerta.cab (2026): Evaluation Framework. https://flow-alerta.cab/en/glossar/evaluation-framework. Editorially reviewed on: 10 October 2026.
How much detail would you like?
Practical
A suitable evaluation framework makes results more comprehensible and helps you to secure decisions beyond individual demo examples.
Hypothetical example: A RAG system is tested for hit quality, faithfulness, response benefits, rights and latency.
SMEs should start with critical user tasks, baselines and clear demolition criteria.
At a glance
- Core
- It connects goals, test cases, data sets, metrics, baselines, thresholds, human review, and approval rules. It is a process framework, not necessarily a software product.
- Use
- A suitable evaluation framework makes results more comprehensible and helps you to secure decisions beyond individual demo examples.
- Example
- Hypothetical example: A RAG system is tested for hit quality, faithfulness, response benefits, rights and latency.
- Limits
- Only averages; missing real cases; test data contamination; metrics without error costs; no version binding.
In context
Questions about this term
Is a framework a tool?
Not mandatory.
Is a benchmark enough?
No, operational cases and risks must be supplemented.
All details and background
It connects goals, test cases, data sets, metrics, baselines, thresholds, human review, and approval rules. It is a process framework, not necessarily a software product.
ELI5 – Explained simply
Like a test plan that sets tasks, standards and existance rules in advance.
Why it matters in practice
A suitable evaluation framework makes results more comprehensible and helps you to secure decisions beyond individual demo examples.
Example
Hypothetical example: A RAG system is tested for hit quality, faithfulness, response benefits, rights and latency.
Pitfalls and limits
- Only averages; missing real cases; test data contamination; metrics without error costs; no version binding.
Origin & history
A concrete example is the MEASURE function of the NIST AI RMF 1.0 from 2023, which requires suitable measurement procedures, regular assessments and contextual reference.
Use in mid-sized companies
- SMEs should start with critical user tasks, baselines and clear demolition criteria.
Related terms
- Evaluation of Harness
- Benchmark
- Test set
- Baseline
- Quality gate
Matching Flow-alerta service
AI opportunity analysis & roadmapAI consulting: Define tasks, risks and measurable test criteria for a potential AI pilot.Matching tool / use case
View use casesUse Case: domain-specific test plan for RAG or agentsSources
Quellenprüfung: 10.10.2026. Definition und dokumentierte Einordnung abgeglichen; Beispiele beschreiben mögliche Anwendungen.
Editorially reviewed on: