Play 30 · Health and life sciences
Your staffing rating just dropped
A six-step play for a nurse staffing agency. It starts from CMS data, stacks Indeed on top, and ends in a message to the administrator that is useful before anyone replies.
Installs this workflow, five project tables and a draft campaign. Source access and any external outputs are checked before research.
- Category
- Health and life sciences
- Sources
- 2
- Steps
- 6
The workflow
- Trigger
CMS dataStaffing ratings and nurse hours per resident day - Evidence
- ArtifactWhat you hand overA gap sheet: nurse hours against the state average, and what closing the gap costs with per-diem staff.
- ContactGliderFinds the administrator, with a verified work email and a phone
- MessageSend itFrom your own mailboxes, evidence attached
Why it earns attention
A falling public staffing rating is visible to families choosing a facility and to regulators. The administrator needs nurses on the floor while they hire, and the cost of the gap is easy to calculate.
The play in six steps
- 01
Find facilities whose rating fell
CMS data- What you pull
- Care Compare data by facility: the staffing star rating this quarter and last, and RN and total nurse hours per resident day against the state average.
- Why it matters
- A drop in stars is public and immediate. The hours tell you exactly how big the gap is.
ExampleStaffing rating fell from 3 to 2 stars · RN hours 0.38 per resident day vs state average 0.67
- 02
See what they're trying to hire
Indeed- What you pull
- That facility's open nursing postings: role, shift, and how long each has been up.
- Why it matters
- Long-open roles show they cannot hire fast enough. The shifts tell you where per-diem staff would land.
Example11 nursing roles open · 6 RN · nights and weekends · oldest up 52 days
- 03
Build the gap sheet
Your artifact- What you build
- Hours needed to reach the state average, translated into shifts per week, and the cost with your per-diem nurses.
- Why it works
- The administrator can see the price of fixing the rating while they hire, in one number.
ExampleAbout 30 RN hours a week to reach average · 4 shifts · cost per week at your rates
- 04
Check before you send
Ratings lag the data by months. Mention the published quarter and avoid any claim about care quality.
- 05
Find the administrator in Glider
Glider- Search for
- AdministratorDirector of nursingRegional director of operationsStaffing coordinator
- Why them
- The administrator answers for the rating. The director of nursing builds the schedule and knows which shifts are empty.
- What you get
- A work email and a direct phone, with the email verified before it goes into a sequence.
- 06
Send the evidence, then run the first test
To: the administratorEvery line comes from a step above Your facility's CMS staffing rating dropped to two stars this quarter, with RN hours at 0.38 per resident day against a state average of 0.67.1 You have eleven nursing roles posted, six of them RN, mostly nights and weekends.2 I worked out what closing the gap would cost with our per-diem RNs while you hire: about four shifts a week.3 Want the sheet?
- Facts from the data (the number is the step)
- What you built for them
- One small ask
- Why it works
- It quotes their own public numbers and turns them into a weekly cost, with no judgment about their care.
- First test
- Twenty facilities whose rating fell this quarter and that are actively hiring.
- Success looks like
- Three facilities book per-diem shifts out of twenty.
The sample message is hypothetical and its numbers are illustrative. Verify every claim, date and rule before sending.
Sources used
The two sources this play names. Each links to the other plays that use it.
Related plays
All 63 GTM playsRun this play with Glider.
Deploy the full workflow into a project. Conway checks your scope and source access, builds the evidence, and prepares outreach for review.