The Matching Process
- Create a Job Posting: Create a job posting from the Teams Section
- Set Instructions: Provide your “real” instructions to the system
- Receive Matches: The system continuously finds opportunities that fit your criteria.
- 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.- Job Details: Title, description, responsibilities.
- Private Instructions: Tell the AI what you really need.
- “Must have startup experience.”
- “Budget is strict $120k.”
- “Need someone who can wear multiple hats.”
- 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.”
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.
- 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
Review
See detailed AI analysis of why a candidate is a match.
Accept/Decline
Accept: Express interest. If they accept too, you connect. Decline: Remove from list. This teaches the AI what you don’t want.
- 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”).