Evalia measures five dimensions of organizational health with a deterministic scoring engine. AI is never allowed to compute a score.
The survey was never built to see it coming
Every mid-market company runs engagement surveys. The results land as a spreadsheet of averages, engagement is 3.8 out of 5, whatever that means, and the report gets discussed once, filed, and forgotten. Six months later a strong team quietly burns out, and the survey data never saw it coming.
The market splits into two wrong answers. Form builders are psychometrically empty: easy to send, impossible to learn from. Enterprise research platforms assume you have a research department. Companies between 500 and 5,000 employees are stranded in the middle.
A diagnostic instrument, not a form builder
Evalia measures five validated dimensions of organizational health: leadership effectiveness, team wellbeing, burnout risk, psychological safety, and engagement. Each lands in a named band with the sample size and statistical confidence shown next to the number. A healthy engagement score next to a critical burnout score tells a story about over-commitment that a single satisfaction average will never surface.
AI with a license
The strongest design decision in the product is a refusal. A deterministic, versioned engine produces every number. The AI drafts questions, reads open-text comments, writes the executive narrative grounded in the real scores, and explains the framework. The engine is accountable for the numbers; the AI is accountable for making the numbers useful.
Every AI write lands as a proposal a human accepts or rejects, and every call is logged to an audit trail. That is what AI-first should mean in an HR product: AI with a license, not AI with the keys.
The full lifecycle, built for trust
Evalia is a complete product built on Next.js and Postgres, with the AI boundaries treated as architecture, not settings. It covers build, publish, invite, respond, analyze, export, and share, with recurring pulse scheduling. Surveys can begin as an AI draft from a prompt, a block-based builder, or a shelf of 51 instrument templates across 29 question types.
Anonymity is designed in: small segments are suppressed with a subtraction guard, so no manager can reverse-engineer who said what. The respondent experience meets WCAG AA.
Boundary discipline, enforced by tests
Evalia runs in production at evaliasurvey.com, with 780+ automated tests enforcing the AI boundary as architecture rather than policy. It is the clearest example of how we build AI systems: the person stays in charge, and the numbers are never generated.
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