All plays

Play 30 · Health and life sciences

ForNurse staffing agenciesToThe administrator

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

  1. TriggerCMS dataStaffing ratings and nurse hours per resident day
  2. Evidence
  3. Artifact
    What you hand overA gap sheet: nurse hours against the state average, and what closing the gap costs with per-diem staff.
  4. Contact
    GliderFinds the administrator, with a verified work email and a phone
  5. Message
    Send 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

  1. 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.
    Example

    Staffing rating fell from 3 to 2 stars · RN hours 0.38 per resident day vs state average 0.67

  2. 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.
    Example

    11 nursing roles open · 6 RN · nights and weekends · oldest up 52 days

  3. 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.
    Example

    About 30 RN hours a week to reach average · 4 shifts · cost per week at your rates

  4. 04

    Check before you send

    Ratings lag the data by months. Mention the published quarter and avoid any claim about care quality.

  5. 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.
  6. 06

    Send the evidence, then run the first test

    • 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.

All 63 GTM plays

Run 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.