Create a role-based IT setup checklist for new hires
Builds a provisioning checklist per role so every new starter gets the right accounts, devices, and access on day one.
The prompt
Create a role-based IT provisioning checklist for new hires.
Roles we hire for: [e.g. "sales rep, engineer, finance analyst, store manager"]
Core systems everyone gets: [e.g. "M365, Slack, HR portal, password manager"]
Role-specific systems: [WHICH systems for which role, with permission level if known]
Devices: [laptop models, phones, peripherals; imaging or zero-touch tool like Autopilot or Jamf]
Lead time we get from HR: [e.g. "5 business days"]
Security requirements: [MFA, security training, policy acknowledgments, device encryption]
Build:
1. A timeline from offer accepted to end of week one: what IT does at each point (order device, create accounts, assign licenses, enroll device, ship or set up desk).
2. A base checklist for every hire.
3. An add-on checklist per role, applying least privilege: start with the minimum and list who approves extra access.
4. Day-one steps for the new hire: sign in, set up MFA, password manager, and where to get help, written so a non-technical person can follow it.
5. Handoffs: what IT needs from HR and the hiring manager, and by when.
6. Common failure points (late notice, license shortages, contractor end dates not set) and how to prevent them.
Return: the timeline as a table (When | Task | Owner | System), the base and role checklists with checkboxes, and a one-page "Your first day with IT" guide for the employee.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Projects & Operations prompts
What to fill in
- e.g. "sales rep, engineer, finance analyst, store manager"
- e.g. "M365, Slack, HR portal, password manager"
- WHICH systems for which role, with permission level if known
- e.g. "5 business days"
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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