> ## Documentation Index > Fetch the complete documentation index at: https://docs.hellorecruiter.ai/llms.txt > Use this file to discover all available pages before exploring further. # Setting Up Evaluation Criteria for AI Candidate Scoring > Define skills, experience, and cultural fit criteria with custom weightages so Hello Recruiter's AI scores candidates accurately and fairly. **Who is this for?** Users with **Administrator** and **Recruiter** roles. Evaluation criteria are the foundation of how Hello Recruiter's AI assesses candidates. Well-defined criteria lead to more accurate, fair, and consistent evaluations. Evaluation Criteria ## Setting Up Criteria When creating a job, you'll define criteria in Step 3 of the job creation process. You can define criteria across key areas: * **Technical skills** — Specific knowledge or abilities required for the role * **Experience** — Relevant background and years of expertise * **Soft skills** — Communication, leadership, problem-solving * **Cultural fit** — Alignment with company values and team dynamics ## Setting Weightages Not all criteria are equally important. Assign **weightages** to prioritize what matters most: * Higher-weighted criteria have a greater impact on the overall candidate score * This helps surface candidates who excel in the areas you care about most * The total of all weightages should equal 100% ## Providing Guidance to the AI Evaluator Help the AI make better assessments by supplying: * **Context** about what "good" looks like for each criterion * **Examples** of ideal responses or experiences * **Red flags** that should lower scores **Write measurable criteria.** Instead of "Good communicator," try "Can explain complex technical concepts clearly to non-technical stakeholders." Specific criteria lead to more accurate evaluations. ## Related Guides