# Recruitment Analytics — Exmergo

> Data teams model the hiring data already in your warehouse with Dex and define funnel and time-to-fill metrics. Recruiters visualize and share hiring performance in Viz.

Your data team uses Dex to model the hiring data already in your warehouse and to define funnel stages and time-to-fill. Recruiters use Viz to visualize and share hiring performance, without re-deriving the funnel every quarter.

## The Problem: Your Hiring Funnel Is a Black Box

Every recruiting leader asks the same questions: which channels deliver our best hires, where do candidates drop off, and how long does it really take to fill a role? The hard part is rarely the chart. It is that nobody has agreed when the clock on time-to-fill starts, or which stage counts as a drop.

So each report re-derives the funnel from scratch, two versions disagree, and the honest answer to what is working becomes 'we're checking'.

Exmergo puts the definitions somewhere they can be reviewed. Data teams model the existing hiring data in the warehouse with Dex and write funnel and time-to-fill definitions into the semantic layer. Recruiters visualize them in Viz.

## Agree on the funnel, then watch it

### Step 1 — Build the foundation with Dex (data team)

Your data team points Dex at the hiring data already landing in the warehouse. Dex profiles the tables, authors the dbt models that shape stage transitions and offers, and defines funnel conversion, time-to-fill, and source-of-hire as semantic definitions the team reviews and maintains as the process changes.

### Step 2 — Visualize it with Viz (business users)

Recruiters and hiring managers open Viz and ask for the funnel by role, team, or channel. Viz builds the interactive view from those definitions, and a published link shares it without handing over the underlying data.

## Recruiting Intelligence, Not Recruiting Guesswork

### Funnel & Pipeline Dashboards

Visualize conversion from applied to hired at every stage in Viz, built on stage definitions your data team modeled rather than a spreadsheet's best guess.

### Source-of-Hire Defined Once

Dex writes the source-of-hire logic into the semantic layer, so channel comparisons mean the same thing in every report and across every quarter.

### Time-to-Fill You Can Defend

One definition of when the clock starts and stops, maintained in the dbt project, and charted by role, team, and recruiter in Viz.

## One Funnel, Shared Across Hiring

Ask Viz about conversion, time-to-fill, or channel performance and it resolves the question against the hiring definitions your data team maintains with Dex.

## What Your Recruiting Team Gets

- One agreed definition of the funnel, time-to-fill, and source of hire
- Hiring views recruiters build and share themselves
- Reports that stay comparable as the hiring process changes

## Frequently Asked Questions

**Who defines the hiring funnel, and who reads it?**
Your data team uses Dex to model the hiring data already in your warehouse and to write funnel conversion, time-to-fill, and source-of-hire into the semantic layer as definitions it maintains. Recruiters and hiring managers open Viz to visualize and share that funnel.

**Does Exmergo connect to our ATS?**
Not directly. Dex works with hiring data already available in a supported warehouse, so whatever brings your ATS data there continues to do so. Separately, Viz's file workflows accept CSV exports, which is how many teams start before the data is modeled.

**How do we settle what time-to-fill actually means?**
By writing it down once. Dex defines when the clock starts and stops in the semantic layer, as a definition your data team reviews in a diff. Every Viz chart then reads that definition, so two reports cannot quietly measure two different things.

**Can we track source-of-hire and channel comparisons?**
Yes, once the source-of-hire logic is defined in the semantic layer. Viz then charts channel comparisons against that single definition, so the numbers stay comparable from quarter to quarter.

**Can Exmergo help with diversity and pipeline analytics?**
Only to the extent your modeled data contains the relevant fields, and under your own governance policies. Viz will break the pipeline down by any dimension the semantic layer exposes; what it exposes is a decision your data team makes in Dex.