Metabase vs Tableau for Staffing Agencies: Fill Rate Reports

• Pull sourced, submitted, interviewed, and placed counts from your ATS at the same stage boundaries every recruiter uses, not whatever each person happens to call a stage informally.
• Separate contract placements from direct-hire placements from the start. Fee timing and margin work completely differently between them, and blending the two into one "placements" number hides which side of the business is actually carrying the month.
• Build time-to-fill as days from requisition open to offer accepted, and flag any open requisition sitting past your typical fill window before a client asks about it.
• Track fee collection separately from placement count. A placed candidate with an unpaid invoice ninety days out is a cash flow problem a pipeline chart will not show you on its own.

An agency with a handful of recruiters and a single office can build all four of the views above directly in Metabase, connected to the ATS's underlying database or a synced export. Recruiters can filter their own pipeline by stage and client without waiting on anyone, and a scheduled Slack digest each Monday keeps everyone honest about which requisitions are stalling before a client asks why.

Two things push agencies toward Tableau. The first is scale: an agency with several offices or business lines, each with its own recruiting manager who should see their own numbers without seeing every other office's client relationships, benefits from Tableau's row-level security instead of manually managed Metabase permissions. The second is client-facing reporting: some enterprise staffing clients specifically want a governed, branded dashboard showing pipeline health for their own open requisitions, and Tableau's templating makes that repeatable across many client accounts without rebuilding it each time.

Disqualifier: skip Tableau if you are a single-office agency and no client has ever asked for a formal reporting dashboard. Build the internal pipeline view first and revisit this once either condition changes.

Say a client requisition has been open for three weeks with no submissions past the first stage, well outside the agency's typical fill window for that role type. In a weekly status call, this might not come up until someone happens to check. A Metabase dashboard filtered by requisition age and stage, with a threshold alert on stalled requisitions, surfaces it the moment it crosses that window, giving a recruiting manager time to reassign it to a recruiter with a stronger pipeline in that specialty before the client raises it as a concern instead of after.

That reassignment decision is the entire value of catching the stall early. A requisition discovered stalled in week six, right before the client's own patience runs out, leaves no room to try a different recruiter or sourcing channel. Caught in week three, there is still a real second attempt available before the relationship itself is at risk, which is the difference between managing a client relationship proactively and apologizing for one after the fact.

Placement dashboards often stop at the moment a candidate accepts an offer, which misses the part of the business that actually generates cash. Join invoice status to placement records so a finance-minded view shows outstanding receivables by client and by age, alongside the recruiting-focused pipeline view built for recruiters. These two audiences want different things from the same underlying data, and building them as separate, focused dashboards rather than one crowded view keeps each one useful to the person actually looking at it.

Guarantee periods add one more wrinkle worth tracking explicitly. Many placement fees are refundable in part if a candidate leaves within a guarantee window, so a placement should not be treated as fully closed revenue on the dashboard until that window has passed. Flagging placements still inside their guarantee period keeps the finance view honest about which fees are truly final.