From gut feelings to evidence-based decisions.

Evidence-based hiring means making decisions grounded in data, not instinct. With Recright, every screening and interview follows a structured, comparable method – leading to fair, confident, and defensible hiring outcomes.

Recright compiles competencies, screening data, and interview evaluations into one structured view. Teams can compare candidates side by side, identify strengths, and make transparent, data-backed decisions together.

When decisions rely on memory or gut feeling, bias increases and comparability disappears. Recright eliminates this risk by connecting structure from start to finish, creating a traceable and fair decision process that reduces costly mis-hires.

Recright provides a shared evaluation view with structured notes, scores, and summaries. This transparency helps teams align quickly, avoid impression-based debates, and ensure every decision is well-documented and fair.

Recright’s AI analyzes interview notes, screening scores, and evaluator input to surface patterns and potential blind spots. It amplifies human judgment by adding structure and clarity – keeping AI ethical, explainable, and supportive.

Yes. Recright automatically generates evaluation summaries and decision logs, documenting every step from screening to final choice. This supports compliance, legal defensibility, and transparent hiring.

DEI improves when structure replaces subjectivity. Recright compares candidates using consistent, competency-based criteria, reducing bias and strengthening fairness, diversity outcomes, and trust in every hire.

After structured screening and interviews, Recright creates a decision-ready view so teams can finalize the hire with clear evidence and fair comparisons.