AI sends confidential exit surveys to every departing employee on schedule. Consistent process, anonymous submissions, actionable retention data.
Exit interviews are often skipped because HR is busy, the departing employee's last days are hectic, or the conversation feels awkward. When they do happen, in-person interviews may not yield honest feedback because the employee fears burning bridges. The result is a massive blind spot in your retention data — you don't know why people are really leaving.
MultiMail's AI agent sends confidential exit surveys automatically to every departing employee at the right time — after their resignation is confirmed but before their emotional investment fades. The survey includes an anonymous submission option and structured questions. Autonomous oversight handles this standardized, templated workflow reliably.
Your HRIS notifies the AI agent when an employee's departure date is confirmed. The agent schedules the survey email based on the departure timeline.
The agent generates a professional, empathetic survey invitation that emphasizes confidentiality and the value of honest feedback. It includes the anonymous survey link and estimated completion time.
The survey is sent 3-5 business days before the last day — late enough that the employee is mentally checked out (more honest) but early enough that they're still engaged enough to respond.
If the survey isn't completed, the agent sends one gentle reminder. It tracks completion status without revealing survey content to maintain confidentiality.
import requests
from datetime import datetime, timedelta
API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}
def send_exit_survey(employee: dict):
survey_url = generate_anonymous_survey_url(
employee["id"], employee["department"]
)
body = (
f"Hi {employee[&"cm">#039;name']},\n\n"
f"As you prepare to transition from {employee[&"cm">#039;company']}, "
f"we&"cm">#039;d genuinely appreciate your candid feedback about "
f"your experience.\n\n"
f"This survey is completely anonymous — your responses "
f"cannot be traced back to you. We use this feedback to "
f"improve the experience for current and future team "
f"members.\n\n"
f"Survey link: {survey_url}\n"
f"Estimated time: 5-10 minutes\n\n"
f"Topics covered:\n"
f" - Management and leadership\n"
f" - Growth and development opportunities\n"
f" - Work environment and culture\n"
f" - Compensation and benefits\n"
f" - Reasons for leaving\n\n"
f"Thank you for your time and your contributions."
)
requests.post(
f"{API}/send",
headers=HEADERS,
json={
"from": "[email protected]",
"to": employee["email"],
"subject": "We&"cm">#039;d value your feedback before you go",
"text_body": body,
"html_body": build_survey_html(employee, survey_url)
}
)Generate and send a confidential exit survey to a departing employee.
import requests
API = "https://api.multimail.dev/v1"
HEADERS = {"Authorization": "Bearer mm_live_xxx"}
def send_survey_reminder(employee: dict):
if check_survey_completed(employee["id"]):
return "cm"># Already completed
body = (
f"Hi {employee[&"cm">#039;name']},\n\n"
f"Just a quick reminder about the exit survey we sent "
f"a few days ago. Your feedback is valuable and the "
f"survey only takes about 5 minutes.\n\n"
f"Survey link: {employee[&"cm">#039;survey_url']}\n\n"
f"No pressure — this is completely optional and "
f"anonymous. But if you have a few minutes, it helps "
f"us improve.\n\n"
f"Wishing you all the best in your next chapter."
)
requests.post(
f"{API}/send",
headers=HEADERS,
json={
"from": "[email protected]",
"to": employee["email"],
"subject": "Quick reminder: Your exit survey (5 min)",
"text_body": body
}
)Send one gentle reminder if the survey hasn't been completed.
"cm">// Using MultiMail MCP tools for exit surveys
async function sendExitSurvey(employee: DepartingEmployee) {
const surveyUrl = generateAnonymousSurveyUrl(
employee.id, employee.department
);
"cm">// Send survey
await mcp.send_email({
to: employee.email,
subject: "We'd value your feedback before you go",
text_body: [
`Hi ${employee.name},`,
``,
`As you transition from ${employee.company}, we'd appreciate`,
`your candid feedback. This survey is completely anonymous.`,
``,
`Survey: ${surveyUrl}`,
`Time: 5-10 minutes`,
``,
`Topics: management, growth, culture, compensation,`,
`and reasons for leaving.`,
``,
`Thank you for your contributions.`
].join("\n")
});
"cm">// Track survey status
await mcp.add_contact({
email: employee.email,
metadata: {
exit_survey_sent: new Date().toISOString(),
departure_date: employee.lastDay,
survey_status: "pending"
}
});
}Send exit surveys using MultiMail MCP tools.
Every departing employee receives an exit survey, not just the ones HR remembers to schedule. Consistent coverage eliminates sampling bias in your retention data.
Anonymous digital surveys yield more candid responses than in-person exit interviews. Departing employees are more likely to share real reasons for leaving when there's no face-to-face pressure.
Aggregate survey data reveals patterns: is compensation driving departures in engineering? Is management the issue in a specific department? Data-driven retention strategies start here.
The AI handles survey delivery, reminders, and tracking automatically. HR's time is spent analyzing results and taking action, not administering the survey process.
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