Is there a way to pull the match score history of a candidate for a specific requisition? In data extracted from the Data Hub the match score seems to change for candidates on requisitions that were filled in the prior year. If unable to pull the history, is it possible to see when a match score was last updated?
Match Score Over Time
Best answer by dkreiger
Hi ​
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What you can and can’t retrieve from Data Hub for match score “history”
Historical match score changes (a time series)
I don’t have any documentation in the provided sources that Data Hub stores an event-by-event history of match score value changes (for a given candidate on a given requisition) that you can query back as a timeline.
A “last updated” timestamp for the candidate–requisition match score
In the Data Hub data dictionary, the TA hiring outcomes / application-sourcing style datasets include both a match score field and an “application last stage timestamp” field:
match_score(orapplication_match_score) is the match score on the application.Âapplication_last_stage_tsis the timestamp of the last update in the application process (i.e., last stage update).
However, none of the provided docs explicitly state that application_last_stage_ts equals “the last time the match score was recomputed/updated.” It’s documented as stage/update timing, not match-score recompute timing.
QuickSight datasets and Redshift tables data dictionary
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What you can do in practiceÂ
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1) If you just need a timestamp that likely corresponds to when the exported snapshot changed
Use application_last_stage_ts as the best available “last updated” proxy in the extracted data, because it is the explicit timestamp you have tied to the application record’s latest update.
2) If you’re observing scores change over time for prior-year reqs
Be aware that exported/warehouse-style data can represent a snapshot at a given generation time, and may not match what the UI shows “right now.” In at least one documented investigation, Eightfold indicated warehouse/DWH data is a snapshot as of when the warehouse data was generated, while the product UI can show a more real-time value—so some inconsistency is expected.
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