Why Onboarding Usually Goes Wrong
Most healthcare staffing agencies have experienced this before. A new platform gets purchased, IT spends weeks on configuration, recruiters sit through a few training sessions, and then — nothing. Usage slowly drops off. The tool becomes one more line item that doesn't move the business.
Ember was designed with a different philosophy: value should appear early and expand from there. The four-step onboarding process is structured to get agencies operational quickly, surface immediate opportunities from existing data, and support teams through the learning curve without disrupting their day-to-day work.
Here's how it works.
Step 1: ATS Integration
The first step is straightforward and intentionally low-friction. Ember connects to your existing ATS through an API key — no major IT project, no database migration, no disruption to current workflows. The integration typically takes less time than most agencies expect, and recruiters continue working in their existing systems throughout the process.
This approach matters because it removes one of the most common barriers to new technology adoption: the fear that getting started requires everything to change at once. Ember works alongside your current infrastructure rather than replacing it.
Step 2: Historical Data Activation
This is where agencies start to see why they made the investment. Once connected, Ember begins processing the historical candidate records in your ATS. In most cases, around 60% of candidate profiles from the past six months can be enriched with data that was always there — buried in recruiter notes, buried in text logs, buried in call summaries — but never structured in a way that made it searchable or actionable.
The enrichment process typically runs for about two weeks. During that time, the platform is effectively doing a deep audit of your existing database, surfacing candidates whose information had become scattered or incomplete over time.
Most agencies discover they've been overlooking a meaningful portion of their candidate pool — not because those candidates weren't there, but because the data around them wasn't organized.
For many teams, this phase alone changes the way they think about their ATS. What felt like an aging database starts to look like an untapped resource.
Step 3: Recruiter Training
With the data enriched and the integration live, Ember moves into live training sessions for the recruiting team. These aren't passive webinars — they're hands-on sessions built around the specific workflows your recruiters already use.
Most teams are fully operational within four weeks. That timeline is achievable because the learning curve isn't steep: recruiters are working in a platform that already contains their candidates, their job orders, and their data. The training focuses on how to use Ember's matching and alerting features effectively, not on rebuilding habits from scratch.
That distinction matters. Adoption problems in healthcare staffing technology are almost always caused by tools that demand too much behavioral change too quickly. When a platform feels like an extension of existing workflows rather than a replacement for them, recruiters actually use it.
Step 4: Ongoing Support
Onboarding doesn't end when the training sessions wrap up. Ember provides monthly leadership check-ins to review performance metrics and identify where the platform can be used more effectively, along with regular product updates and refresher training as needed.
This ongoing cadence serves a few purposes. It ensures that agency leaders have visibility into how the tool is actually being used. It creates an opportunity to course-correct if certain teams or workflows aren't seeing the expected results. And it keeps the platform current as the product evolves and new features become available.
The Database Problem Most Agencies Don't Know They Have
Here's a pattern that shows up consistently across agencies that adopt Ember: before implementation, most teams are actively engaging only about 1.5% of their candidate database at any given time. The rest sits dormant — not because those candidates aren't valuable, but because the data around them has degraded to the point where they're invisible to standard searches.
Within a few months of full adoption, that engagement rate often doubles. Not because recruiters are working harder, but because Ember keeps candidate profiles current and surfaces opportunities that would otherwise be missed entirely.
That shift — from a database as a storage system to a database as a growth engine — is what makes the early investment worthwhile. The candidates you've already built relationships with are often your fastest path to the next placement.