Your FactoryFix AI recruiter does more than just match keywords; it evaluates candidates like an experienced manufacturing hiring manager. It analyzes multiple data points to provide a comprehensive 1-5 star rating and a written assessment, helping you quickly identify the most promising talent.
Here’s a look inside how your AI recruiter thinks.
Core Evaluation Factors
Your AI recruiter considers several factors when assessing a candidate's fit for your role:
- Recent Relevant Experience (Highest Weight): Experience from the last ~5 years is weighted most heavily, as it's the strongest predictor of current capability.
- Technical Skills: It assesses the depth and recency of skills listed in your job description and gathered during screening conversations. It understands the nuances of manufacturing roles (e.g., the difference between operating and programming a CNC machine).
- Environment Fit: It looks for experience in similar manufacturing sectors (e.g., automotive, food processing) to gauge adaptability.
- Career Stability: It analyzes job tenure and patterns to assess a candidate's potential for long-term commitment.
- Practical Factors: It considers real-world logistics like commute feasibility, shift compatibility, and pay alignment.
- Past Interactions: If a candidate has applied to your company before, your AI recruiter will consider the history of those applications.
Your Custom Guidance is Crucial
Your AI recruiter's evaluation is most powerful when it's guided by your specific needs. During job setup, you can teach your AI recruiter how to evaluate candidates by providing:
- Evaluation Strictness: Tell it to be "Lenient," "Balanced," or "Strict."
- Ideal Candidate Profile: Describe what separates a good candidate from a great one.
- Overlook Factors: Specify what strengths (like a rare certification) might make you overlook other weaknesses.
- Dealbreakers: List non-negotiable requirements (e.g., "must have a valid CDL").
Your AI recruiter incorporates this direct input into its scoring, leading to evaluations that are highly tailored to your true priorities.
Additionally, information provided in Settings > Company Overview gives your AI recruiter valuable context about your business, helping it have more authentic conversations.
The Assessment Output
After its analysis, your AI recruiter delivers its findings in two parts, visible in the candidate's conversation thread:
- A 1-5 star rating.
- A written assessment blurb that summarizes the reasoning behind the score, highlighting strengths and potential concerns.
(A score of "N/A" means the AI recruiter did not perform an evaluation, which is typical for candidates you add manually).
Providing Feedback
You can—and should—help your AI recruiter get even smarter. Use the thumbs up/down icons on each assessment to provide feedback. You can optionally adjust the score and add a brief note about why.
What happens next
- Your feedback counts toward a small checkpoint. After 5 feedback items on a job, the system analyzes the patterns in your notes and corrections.
- The AI adds concise “learnings” to the job’s configuration so future evaluations reflect your preferences.
- If you already added evaluation criteria to the job, it isn’t overwritten—AI learnings are appended as editable additional context.
- This influences how the AI evaluates candidates; it doesn’t change your underlying job details.
By combining its built-in manufacturing knowledge with your custom guidance and feedback, your AI recruiter becomes a powerful partner that saves you time and delivers more qualified candidates ready to interview.