From vague chatbot quality to measurable release criteria.

Helpy is a fictional SaaS assistant created to demonstrate Evalor's evaluation methodology. Results are illustrative and do not represent a real customer engagement.

Results

The v2 system improved because it answered from source material.

Faithfulness

v1 0.07

v2 0.88

Answer relevancy

v1 0.08

v2 0.73

Context precision

v1 0.00

v2 0.95

Problem

The assistant could answer generally, but there was no objective way to know when it was wrong.

Method

A fixed question set and eval metrics compared the baseline against a retrieval-backed version.

Decision

The team gets a clear view of what improved, what still fails, and what should block release.

Real cases

Real customer case studies will go here.

Evalor will only publish real customer results with explicit permission. No fabricated testimonials, logos, or client metrics are shown.