A diagnostic instrument that looks like a survey tool.

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.

The separation is the point. A healthy engagement score next to a critical burnout score tells a story about over-commitment that a single satisfaction average will never surface. You learn which dimension is moving, in which team, before it becomes a resignation letter.

The AI is never allowed to compute a score

The strongest design decision in the product is a refusal. A deterministic, versioned engine produces every number. The AI drafts questions, reads thousands of 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.

• Full lifecycle: build, publish, invite, respond, analyze, export, and share, with recurring pulse scheduling.
• Three ways to create a survey: an AI draft from a prompt, a block-based builder, or a shelf of 51 instrument templates across 29 question types.
• Anonymity by construction: small segments are suppressed with a subtraction guard, so no manager can reverse-engineer who said what.
• A WCAG AA respondent experience, which closes the accessibility objection before procurement raises it.

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.

Start with one pulse. The data will make the rest of the argument.