The Context Pack is the configuration layer that shapes how an AIVIA evaluation behaves. It tells the system what matters, what to probe, and how to interpret the candidate’s responses.
If AIVIA were only a generic interviewer, every evaluation would start to sound the same. The Context Pack is what prevents that. It keeps the evaluation tied to the real role, project, or skill area.
What the Context Pack contains
The easiest way to understand it is as the logic behind the conversation.
It helps determine:
- which technical components matter most
- which failure modes should be surfaced
- which tradeoffs deserve attention
- how follow-up questions should be selected
- what counts as strong versus weak evidence
Why it matters
Without a strong context layer, automated evaluation tends to drift. Questions become too generic, scoring becomes less meaningful, and the outcome stops reflecting the real work.
The Context Pack exists to reduce that drift. It helps keep the evaluation:
- relevant to the role or project
- more consistent from one candidate to the next
- clearer about what it is actually measuring
Why employers should care
For employers, the Context Pack is what makes the evaluation more defensible. It is the bridge between “what we care about” and “what the system actually tests.”
That matters when a team wants screening to be scalable without losing technical specificity.
Why candidates should care
For candidates, the benefit is fairness and relevance. A better context layer usually means the evaluation is closer to the work they are actually being considered for.
That makes the result more meaningful for both sides.
The Context Pack gives the evaluation its shape, its focus, and much of its credibility.