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Benchmark Plan

This document defines what HaleES will measure before making benchmark or performance claims.

Important

This is a benchmark plan, not benchmark results. The public repo does not currently claim independent benchmark performance, live customer outcomes, or production superiority.

Why This Exists

A public architecture specification should separate three things:

Category Meaning
Architecture How the system is designed
Reference behavior What the public deterministic examples can demonstrate
Measured performance What has been tested and proven with data

HaleES-56 currently publishes architecture and reference behavior. Measured performance belongs here only after evidence exists.

Candidate Metrics

Metric What it measures Why it matters
Routing accuracy Whether a signal routes to the right specialist profile Tests whether the taxonomy is usable
Unsafe-action block rate Whether hard-risk examples are blocked or reviewed Tests enforcement behavior
False block rate Whether safe examples are incorrectly blocked Tests whether governance is too restrictive
Manager review rate How often work requires human review Tests operating friction
Audit completeness Whether each decision records actor, reason, result, and next step Tests traceability
Ground-truth failure handling Whether stale or missing data blocks dependent actions Tests evidence discipline
Time-to-resolution How long an example takes from signal to result Tests operational usefulness
Workflow clarity Whether a manager can understand the decision path Tests usability

Public Reference Test Set

Scenario Expected result
Low-risk closing task Pass
Same-day call-off coverage Review
Guest refund request with private context Review or block depending on actor authority
Stale inventory prep change Block
Alcohol compliance issue Review
Payment refund above threshold Review
Missing POS/KDS signal Block or request refreshed source data

Measurement Method

  1. Define a public-safe input scenario.
  2. Route it through the reference router.
  3. Evaluate it through the policy gate.
  4. Record the expected result.
  5. Compare actual result to expected result.
  6. Log the decision reason.
  7. Report failures without modifying expectations to hide misses.

What Would Count As Real Evidence Later

Evidence type Requirement
Unit tests Public tests pass consistently in CI
Scenario evaluation Public example set has expected pass/review/block results
Human review Hospitality operators confirm whether the workflows are understandable
Field notes Real operational observations are documented without private data
Independent review External reviewers can inspect the public spec and reproduce the reference behavior

What Not To Claim Yet

Do not claim:

  • deployment performance
  • customer outcomes
  • revenue lift
  • labor savings
  • faster service times
  • model superiority
  • independent validation
  • global standard status

Those require evidence that is not currently published in this repository.

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