Competency Matrix
Org-wide skill catalog with dated, evidence-backed evaluations — feeds matching and proposal staffing.
Stop guessing who on your bench knows what. Build a catalog of the competencies your org actually staffs against — technical, cleared, certifications, leadership — then evaluate people on them with evidence and an expiration date. The matcher uses it; proposal staffing pulls from it.
What you get
Built to solve the actual problems hiring teams hit every day.
Catalog the work, not just tags
Define each competency once with a rubric and category (technical / leadership / cleared / cert / language / soft / other). Reuse across roles and proposals.
Dated, evidence-backed evaluations
Every evaluation captures the level (novice → expert), the evidence behind it, who evaluated, and an optional expiration date.
Expiration awareness
A 90-day expiring counter on the page surfaces evaluations that need refresh — critical for certifications and cleared-skill recency.
Matrix view
Pivot the data into a person × competency grid for at-a-glance staffing decisions.
Position requirements
Attach competencies to a position with a minimum level and weight — the matcher reads it.
How it works
Four steps from setup to value.
Define competencies
On /competencies, click "New competency" and add the skills, certifications, and cleared capabilities you actually track.
Evaluate people
For each person on your bench, record a level (with evidence and optional expiry). Use the same UI for candidates and placed staff.
Attach to positions
On any position, mark required competencies with a min level. The matcher weights them into the candidate score.
Refresh expiring rows
Check the "Expiring ≤ 90d" counter weekly to keep certifications current.
FAQ
Quick answers to common questions.
How is this different from skills?
Skills are tags. Competencies are dated, evidence-backed, ranked assessments — built for staffing and proposal narratives.
Can candidates see their own evaluations?
Yes — RLS lets candidates view evaluations on themselves; only clients/admins can create or edit.
Does the AI matcher use this?
Yes. When a position has attached competencies with min levels, the matcher reads the latest evaluation per candidate and weights the score accordingly.