Canditech’s AI auto-scoring capabilities help you evaluate open-ended candidate responses faster, more consistently, and with greater objectivity. By leveraging AI, you can reduce manual review time while ensuring that every candidate is assessed according to the same clear standards.
In this article, we’ll walk through:
Note: AI Auto-Scoring is available on Enterprise plans. If you're interested in enabling it for your account, please contact our team.
Which Question Types Support AI Auto-Scoring?
AI Auto-scoring is available for both open-text and video questions.
For video responses, Canditech automatically converts the candidate’s speech into text and evaluates only the written transcription. Factors such as accent, tone of voice, appearance, background, or recording environment are never taken into account, allowing you to focus purely on what the candidate says rather than how they say it.
For more information on the question types and scoring methods available in Canditech, click here.
The AI Auto-Scoring Methods Available in Canditech
Canditech currently offers three auto-scoring approaches, so you can choose the level of structure and customization that fits the role.
1. Example answers
In this approach, you provide example responses along with the scores they should receive. The AI compares each candidate’s answer to those examples and assigns a score based on similarity. The closer the candidate’s answer is to the examples, the closer the score will be.
This method is especially useful for questions with relatively clear or expected answers, where you already know what a strong response looks like.
For more information on reviewing candidates' AI Auto-Scoring Results, click here.
2. Pre-Built AI Agents
Canditech includes several pre-built AI agents, each designed to evaluate a specific competency. These agents are ready to use and require no configuration.
Language Agent - evaluates grammar, spelling, and overall language clarity in any language.
Objection Handling Agent - evaluates how candidates respond to objections in a sales context. This agent focuses on how well the candidate acknowledges objections, responds professionally, and moves the conversation forward. It is particularly relevant for sales, business development, and account management roles.
Conflict Resolution Agent - evaluates how candidates handle frustrated or dissatisfied customers. This agent focuses on empathy, communication, and problem ownership, making it especially suitable for customer support and customer success roles.
For more information on reviewing candidates' AI Auto-Scoring Results, click here.
3. Custom AI Auto-Scoring (Custom Agents)
Canditech's Custom Agents are the most flexible and powerful AI auto-scoring option.
This option allows hiring teams to decide exactly what they want to evaluate in a candidate’s answer by defining their own scoring rules. Instead of relying on generic criteria, you can translate your expectations, priorities, and evaluation standards directly into measurable checks.
Custom agents are especially useful when you want to align evaluation with your company culture and preferred ways of thinking or working, ensuring that candidate responses reflect your organization’s values. They are also ideal for addressing unique business challenges, allowing you to assess how candidates would approach scenarios that are directly relevant to your company’s day-to-day operations.
For an in-depth explanation on building your own Custom AI Auto-Scoring Agents, click here.
For more information on reviewing candidates' AI Auto-Scoring Results, click here.