How to Automate Employee Onboarding Checklists
Create and track onboarding checklists that assign tasks automatically.
Jay Banlasan
The AI Systems Guy
New hires fall through the cracks when onboarding lives in someone's head. I built a system to automate employee onboarding checklists that creates personalized task lists, assigns them to the right people, and tracks completion without anyone chasing updates.
This automate employee onboarding checklist system makes sure nothing gets missed on day one or day thirty.
What You Need Before Starting
- Python 3.8+
- A task storage system (SQLite for simplicity, or connect to your PM tool)
- A notification system (Slack or email)
- Onboarding templates per department
Step 1: Define Onboarding Templates
ONBOARDING_TEMPLATES = {
"engineering": {
"it_setup": [
{"task": "Create company email account", "owner": "IT", "due_day": 0},
{"task": "Set up GitHub access", "owner": "IT", "due_day": 0},
{"task": "Provision AWS IAM credentials", "owner": "IT", "due_day": 1},
{"task": "Install development environment", "owner": "new_hire", "due_day": 1}
],
"hr_tasks": [
{"task": "Complete tax forms", "owner": "new_hire", "due_day": 0},
{"task": "Review employee handbook", "owner": "new_hire", "due_day": 2},
{"task": "Set up direct deposit", "owner": "new_hire", "due_day": 3}
],
"manager_tasks": [
{"task": "Schedule welcome meeting", "owner": "manager", "due_day": 0},
{"task": "Assign onboarding buddy", "owner": "manager", "due_day": 0},
{"task": "First week goals meeting", "owner": "manager", "due_day": 5},
{"task": "30-day check-in scheduled", "owner": "manager", "due_day": 7}
]
}
}
Step 2: Create the Checklist Database
import sqlite3
from datetime import datetime, timedelta
def init_onboarding_db(db_path="onboarding.db"):
conn = sqlite3.connect(db_path)
conn.execute("""
CREATE TABLE IF NOT EXISTS onboarding_tasks (
id INTEGER PRIMARY KEY AUTOINCREMENT,
employee_name TEXT,
task TEXT,
owner TEXT,
due_date TEXT,
status TEXT DEFAULT 'pending',
completed_at TEXT,
department TEXT
)
""")
conn.commit()
return conn
Step 3: Generate a Checklist for a New Hire
def create_onboarding(conn, employee_name, department, start_date):
template = ONBOARDING_TEMPLATES.get(department, {})
tasks_created = 0
for category, tasks in template.items():
for task in tasks:
due_date = start_date + timedelta(days=task["due_day"])
conn.execute(
"INSERT INTO onboarding_tasks (employee_name, task, owner, due_date, department) VALUES (?,?,?,?,?)",
(employee_name, task["task"], task["owner"],
due_date.isoformat(), department)
)
tasks_created += 1
conn.commit()
print(f"Created {tasks_created} onboarding tasks for {employee_name}")
Step 4: Track and Notify
def check_overdue_tasks(conn):
today = datetime.now().isoformat()[:10]
cursor = conn.execute(
"SELECT employee_name, task, owner, due_date FROM onboarding_tasks WHERE status='pending' AND due_date < ?",
(today,)
)
overdue = cursor.fetchall()
for name, task, owner, due in overdue:
print(f"OVERDUE: {task} for {name} (assigned to {owner}, due {due})")
return overdue
Step 5: Mark Tasks Complete
def complete_task(conn, task_id):
conn.execute(
"UPDATE onboarding_tasks SET status='complete', completed_at=? WHERE id=?",
(datetime.now().isoformat(), task_id)
)
conn.commit()
def onboarding_progress(conn, employee_name):
total = conn.execute(
"SELECT COUNT(*) FROM onboarding_tasks WHERE employee_name=?",
(employee_name,)
).fetchone()[0]
done = conn.execute(
"SELECT COUNT(*) FROM onboarding_tasks WHERE employee_name=? AND status='complete'",
(employee_name,)
).fetchone()[0]
return {"total": total, "complete": done, "percent": round(done/total*100) if total else 0}
What to Build Next
Connect this to Slack so owners get a DM when a task is assigned. Add a dashboard view that shows all active onboardings with completion percentages. The checklist is the backbone, but visibility is what makes people actually do the work.
Related Reading
- AI in Training and Onboarding - ai training onboarding automation
- Prompt: Create an Onboarding Checklist - prompt create onboarding checklist
- The Automation Decision Tree - automation decision tree framework
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