Point-in-Time Snapshot
Build the date-spine that any 'over time' headcount or attrition metric needs.
Trends need history, and most people only have today's extract. This assembles a clean point-in-time spine from your snapshots so 'headcount over time' and 'attrition over time' actually work — no warehouse required.
Who it’s for & the problem it solves
An analyst asked for trends who only has a current-state extract.
- The situation — There's no clean historical spine to compute anything 'over time' against.
- Why it stings — Stitching monthly snapshots by hand is tedious and comes out inconsistent.
- Why it’s wrong — A simple trend line shouldn't require a data-warehouse project.
The plan
- Feed in your periodic snapshots
- Build the point-in-time spine
- Trend any metric across it
What success looks like
- Real over-time trends from the snapshots you already have
- Without it: Fake the trend from one snapshot — or stall waiting on a warehouse
Why us
We know leadership wants trends and you were handed a single snapshot. The org-graph time-bounded snapshot engine.
On the roadmap. Tell us you want it — demand sets what we build next.
This capability already exists in the platform; the drop-in version isn’t packaged yet. Tell us you want it and you move it up the queue.