Test what your users see.
Determina builds a production-like world around a recommender release so teams can see which candidates move, for which cohort, and why the release needs review.
Illustrative profile-merge scenario
A different position.
A different decision.
Enterprise cohort
Before the sparse-profile merge
- 1
- 2
- 3
- 4
- 5
- 6
- 7Regulated candidate
One candidate moves from #7 to #1. The surrounding slots are schematic, not measured candidates.
Will the profile merge change what enterprise users see?
Illustrative scenario
A regulated candidate moved from rank #7 to rank #1 after the sparse-profile merge.
- cohort lens
- enterprise buyers / sparse profile
- rank curve
- #7 before -> #1 after
- candidate diff
- regulated candidate promoted above verified option
- verifier
- review threshold crossed
Needs review. Review cohort policy before rollout.
Inside this example
What is tested
Determina replays the release against an enterprise cohort, compares the candidate order before and after the profile merge, then attaches the rank movement to policy evidence.
- before regulated candidate starts at rank #7
- condition sparse-profile merge applied to enterprise cohort
- after regulated candidate lands at rank #1
- decision rank drift crosses review threshold
Inputs
- rank logs
- candidate pool
- cohort fixtures
- profile state
- policy thresholds
- release version
Evidence
- cohort lens
- rank curve
- candidate diff
- policy verifier
- review decision
- rerun memory
Bring one change.
Start with one ranking change, one cohort that matters, and the policy question your team needs answered before rollout.
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