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Prompt EvaluationSystematic quality grading for LLM outputs

Expert review of quality, safety and alignment.

Overview

What is prompt evaluation?

Prompt evaluation is systematic expert grading of model outputs against rubrics for helpfulness, accuracy, safety and style. It is the feedback loop that tells you whether your model is improving.

Benchmark scores do not tell you how a model performs on your real user prompts. Structured human evaluation is the only way to know if a fine-tune, prompt change or model swap actually helped.

Custom rubrics

Multi-dimensional scoring built around your specific goals.

Domain evaluators

Subject-matter experts matched to your use case and industry.

Rationale capture

Every score includes written rationale, not just a number.

Failure analysis

Systematic pattern detection across low-scoring outputs.

Workflow

How we do it

  1. 01
    Rubric design

    We design multi-dimensional rubrics with you: helpfulness, accuracy, safety, style.

  2. 02
    Evaluator selection

    Domain-expert evaluators matched to your use case are recruited and calibrated.

  3. 03
    Calibration sessions

    Structured calibration with gold examples aligns judgment across the panel.

  4. 04
    Evaluation

    Evaluators score outputs against your rubric, with rationale documentation.

  5. 05
    Reporting

    Structured scores plus a summary report of systematic failure modes.

Case study

Enterprise LLM vendor

Evaluate model output quality across eight enterprise use cases

Custom rubric per use case, with domain-expert evaluator panels and weekly reporting.

50KOutputs evaluated
8Use cases covered
0.86Evaluator agreement

Ready to get startedwith prompt evaluation?

Tell us about your project and we will scope a pilot within 48 hours.