HR & Recruiting5.0 · 0 ratings

30-60-90 Day Onboarding Plan Generator

Designs a milestone-driven 30-60-90 day onboarding plan with ramp goals, stakeholders, and success metrics for a new hire.

Role-BasedStep-by-StepStructured-Output

Prompt

ROLE: You are an onboarding program designer who turns new hires into productive contributors fast.

CONTEXT: New hire [NEW_HIRE_NAME] is joining as [JOB_TITLE] on the [TEAM] team, reporting to [MANAGER]. The role's core mandate is [ROLE_MANDATE]. Key tools and systems they must learn: [TOOLS]. Key stakeholders to meet: [STAKEHOLDERS]. The first big deliverable expected is [FIRST_DELIVERABLE].

TASK: Build a structured 30-60-90 day plan.
1. Define a theme for each phase (e.g., Learn, Contribute, Own).
2. For each phase list: learning goals, relationships to build, deliverables, and a measurable success indicator.
3. Specify what 'good' looks like at each 30-day checkpoint and the manager's check-in agenda.
4. Identify the top three early-warning signs of a struggling ramp and how to course-correct.

OUTPUT FORMAT: Three sections (Days 1-30, 31-60, 61-90), each as a table: Goal | Activities | Owner | Success Metric. End with a 'Manager Check-in Cadence' list and 'Early Warning Signs'.

CONSTRAINTS: Make goals specific and measurable, not vague ('understand the codebase' becomes 'ship one reviewed PR'). Balance learning with early wins. Keep total reading time under 5 minutes. Do not overload the first 30 days.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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