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Attendance Bot Experience & Reliability Survey

Evaluates how well an automated attendance bot handles check-ins, corrections, and notifications for employees or students, and pinpoints where it breaks down. An AI follow-up interview walks through a recent mix-up step by step. Built for HR, IT, and school administrators piloting or refining an attendance-tracking bot.

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샘플 질문

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질문 12개 · 약 7분
Q01
메시지

Thanks for taking a few minutes to share feedback on the attendance bot! We want to know what's working and what's confusing. Your responses are completely confidential and anonymized. This should take about 4-5 minutes.

Q02
객관식필수

How do you most often check in with the attendance bot?

  • Chat app (Slack/Teams)
  • Text message (SMS)
  • Mobile app
  • QR code / kiosk scan
  • Website portal
  • Other
Q03
의견 척도필수

How easy is it to check in or check out using the attendance bot?

척도: 1 – 7
최소:Very difficult최대:Very easy
Q04
객관식필수

In the last 30 days, how often did the attendance bot log something incorrectly (wrong time, missed check-in, duplicate entry)?

  • Never
  • Once
  • A few times
  • Frequently (weekly or more)
Q05
매트릭스필수

Rate the attendance bot on each of the following.

5개 행 × 5개 열
  • Accuracy of recorded attendance
  • Speed of check-in/check-out
  • Clarity of instructions or prompts
  • Ease of fixing a mistake
  • Helpfulness of reminders or notifications
열: Poor · Fair · Good · Very good · Excellent
Q06
평점 척도필수

Overall, how reliable is the attendance bot for tracking your attendance accurately?

범위: 1 – 5
최소:Not reliable최대:Extremely reliable
Q07
객관식

When the attendance bot gets something wrong, what do you usually do?

  • Message HR/admin to fix it manually
  • Use an in-bot correction feature
  • Ignore it, not worth the hassle
  • I've never had to fix an error
  • Other
Q08
AI 인터뷰

Ask the respondent to walk through the most recent time the attendance bot recorded their attendance incorrectly or confused them: what were they trying to do, what happened, how did they find out something was wrong, and how was it resolved (or not). If they say they've never had an issue, probe what makes the bot feel trustworthy and whether there's anything about the check-in process that still feels clunky or unclear.

Q09
의견 척도필수

How likely are you to recommend continuing to use this attendance bot over a manual sign-in process?

척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q10
객관식

Which best describes your role?

  • Employee
  • Student
  • Manager/Supervisor
  • HR/Administrator
  • Other
  • Prefer not to say
Q11
객관식

How long have you been using this attendance bot?

  • Less than 1 month
  • 1-6 months
  • 6-12 months
  • Over 1 year
  • Prefer not to say
Q12
메시지

That's everything — thank you! Your feedback will be reviewed alongside the attendance data to fix common errors and smooth out the check-in process.

포함된 기능

  • AI 후속 질문

    정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.

  • 주의력 확인 장치

    성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.

  • AI가 작성한 문안

    문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.

  • 자동 리포트

    응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.

다른 서비스와 비교

다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.

이 템플릿을 선택하는 이유

  • Includes a dedicated AI follow-up interview that walks the respondent step-by-step through their most recent attendance bot mix-up, capturing detail a static form can't
  • Uses a matrix question to rate the bot across multiple dimensions at once alongside opinion-scale questions on ease of check-in/out and likelihood to keep using the bot over a manual process
  • Segments responses by role (HR/IT/school admin) and tenure with the bot, plus asks what respondents actually do when the bot errs, giving actionable behavioral data
  • Automatically generates a report from responses, with transparent, reviewable prompts behind the AI interview questions

SurveySparrow

Free Employee Attendance Tracker Template

This is a fielding-ready static template for logging or tracking employee attendance, aimed at a similar HR audience. It's built for straightforward attendance capture rather than diagnosing bot-specific reliability issues or error patterns. No mention of adaptive interviewing or automated scoring of responses.

잘하는 점

  • Free to use and quick to deploy for basic employee attendance tracking
  • Purpose-built for HR attendance use cases, so terminology and flow will feel familiar to that audience

아쉬운 점

  • Static question set only — no adaptive AI follow-up to probe into a specific incident like a bot mix-up
  • No automated per-response quality scoring or auto-generated analysis report
  • No voice AI interview option and no published methodology behind question logic

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