> ## Documentation Index
> Fetch the complete documentation index at: https://docs.nosocial.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# For Employers

> Guide to creating postings, AI evaluations, and managing matches.

## The Matching Process

1. **Create a Job Posting:** Create a job posting from the Teams Section
2. **Set Instructions:** Provide your "real" instructions to the system
3. **Receive Matches:** The system continuously finds opportunities that fit your criteria.
4. **Review & Connect:** Evaluate matches. If you like a candidate, request an interview.

## Creating a Job Posting

To get the best candidates, you need more than a standard Job Description.

```mermaid theme={null}
timeline
    title Employer Journey
    Setup : Create Job Posting
          : Set Private Instructions
    Matching : AI evaluates candidates
             : Two-sided scoring
    Review : Review Matches
           : Answer AI Questions
           : Accept / Decline
    Connect : Mutual Interest
            : Interview Process
```

1. **Job Details:** Title, description, responsibilities.
2. **Private Instructions:** Tell the AI what you *really* need.
   * "Must have startup experience."
   * "Budget is strict \$120k."
   * "Need someone who can wear multiple hats."
3. **Publish:** The system immediately starts evaluating existing candidates against your criteria.

## Writing Effective Instructions

Your private instructions guide the AI to find the right fit beyond the public job description.

### Example: Product Manager Role

**Public Job Description:**

> "We are looking for a Product Manager to lead our mobile app team..."

**Private Instructions (The "Real" Need):**

> "We need someone who has specifically shipped a mobile app from 0 to 1.
>
> * **Must-have:** Experience with fintech or banking apps.
> * **Culture:** We are a chaotic startup, need someone who thrives in ambiguity, not a big-co person who needs structure.
> * **Deal-breaker:** Anyone who hasn't worked in a team \< 50 people.
> * **Budget:** Max \$160k base, but high equity."

<Tip>
  The more honest you are in your private instructions, the better your matches will be.
</Tip>

## AI Evaluations

NoSocial uses AI to evaluate every candidate against your specific role requirements.

* **Skill Matching:** Beyond keywords, understanding depth and context.
* **Cultural Fit:** Aligning work styles and preferences.
* **Two-Sided Score:** Ensuring the candidate is also interested in your type of role.

**Score Tiers:**

* **Excellent (90-100%):** Strong mutual fit.
* **Good (70-89%):** Solid option, meets core needs.
* **Potential (50-69%):** May have gaps but worth considering.

## Managing Matches

<CardGroup cols={2}>
  <Card title="Review" icon="eye">
    See detailed AI analysis of why a candidate is a match.
  </Card>

  <Card title="Accept/Decline" icon="check-double">
    **Accept:** Express interest. If they accept too, you connect. **Decline:** Remove from list. This teaches the AI what you don't want.
  </Card>
</CardGroup>

**Key Actions:**

* **Answer Questions:** In the review panel, the AI may ask clarifying questions (e.g., "Is this candidate's agency experience relevant?"). Answering these drastically improves future matches.
* **Rate Matches:** Always accept or decline. Leaving matches "pending" prevents the feedback loop from discovering new matches.
* **Provide Feedback:** If you decline, tell the AI why (e.g., "Too junior", "Wrong industry").