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Lost and Found Recovery Experience Survey

Measures how well your lost-and-found process works for people who actually lost something on-site — reporting ease, staff helpfulness, and resolution speed — with an AI follow-up that reconstructs exactly what happened during their specific case, especially when the item wasn't recovered.

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샘플 질문

템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.

질문 13개 · 약 7분
Q01
메시지

Thanks for taking a moment to share your experience! Your responses are completely confidential and anonymized. We'd like to hear how the lost-and-found process worked for you, from reporting to resolution. This will take about 7 minutes.

Q02
객관식필수

What type of item did you lose?

  • Wallet or purse
  • Electronics (phone, headphones, laptop, etc.)
  • Bag or luggage
  • Keys
  • Clothing or accessories
  • Documents or ID
  • Other
Q03
객관식필수

How did you first report your item as lost?

  • In person at a desk or counter
  • Phone call
  • Online form
  • Mobile app
  • Email
  • I didn't formally report it
Q04
객관식필수

Was your item ultimately recovered?

  • Yes, fully recovered
  • Yes, but something was missing or damaged
  • No, not recovered
  • Still waiting to hear back
Q05
의견 척도필수

How easy or difficult was it to report your lost item?

척도: 1 – 5
최소:Very difficult최대:Very easy
Q06
평점 척도

How would you rate the staff who helped with your case?

범위: 1 – 5
최소:Poor최대:Excellent
Q07
객관식필수

How long did it take from when you reported the item to when you got a resolution (found, confirmed unavailable, or closed)?

  • Same day
  • 2-3 days
  • 4-7 days
  • More than a week
  • Still waiting
Q08
매트릭스필수

How much do you agree with the following statements about the process?

3개 행 × 5개 열
  • The reporting process was clearly explained to me
  • I received timely updates about my item's status
  • The final outcome matched what I expected
열: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q09
AI 인터뷰

Reconstruct exactly what happened in this respondent's specific case, from the moment they realized the item was lost to the final outcome: who they contacted, what they were told, and whether promised updates actually arrived. If the item was not recovered or only partially recovered, probe precisely where the process broke down (no record taken, item never logged, unclear ownership verification, etc.) and what would have made the outcome acceptable to them even without the item back.

Q10
의견 척도

How likely are you to recommend this location to a friend based on how this situation was handled?

척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q11
객관식

How often do you typically visit or use this location/service?

  • Daily
  • Weekly
  • Monthly
  • Rarely
  • This was my first time
Q12
객관식

What is your age range?

  • Under 18
  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65+
  • Prefer not to say
Q13
메시지

Thank you for sharing your experience! Your feedback goes directly into a report we use to fix breakdowns in our lost-and-found process and speed up recovery for future visitors.

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

  • Goes beyond a static intake form with a dedicated opinion-scale question on reporting ease, a staff rating question, and a multiple-choice resolution-time question to quantify the core process metrics
  • Includes an AI follow-up interview that reconstructs exactly what happened in each respondent's specific case, particularly valuable when the item wasn't recovered and a generic form would miss the story
  • Uses a matrix question to capture agreement across multiple process statements plus a recommend-likelihood scale, giving both structured and comparative data in one flow
  • Delivered on a platform with automated per-response quality scoring, transparent prompts, and auto-generated reports, backed by a free tier and a $50/mo Business plan

Jotform

Lost and Found Form Template

This is a static intake form template built for logging lost items, not a fielding-ready experience survey with follow-up questions on satisfaction or resolution. It's useful for capturing item details but doesn't probe how the process felt to the person who lost something. Best suited to operational logging rather than experience measurement.

잘하는 점

  • Easy drag-and-drop customization typical of Jotform's builder
  • Large template library with integrations for storing submissions
  • Simple to deploy quickly for basic item-report capture

아쉬운 점

  • No adaptive follow-up questioning to explore what happened in an unresolved case
  • No structured scoring of staff helpfulness or resolution speed built into the template
  • No transparent methodology or automated quality scoring of responses

SurveySparrow

Lost and Found Form Template | For Workplace

This template is framed for internal workplace use (employee lost-and-found reporting), which is a somewhat different audience than public visitors or customers who lost items on-site. It offers SurveySparrow's conversational form style but appears to be a fixed-question template rather than one that adapts to each respondent's case. It may need heavy rework to fit a customer-facing recovery-experience use case.

잘하는 점

  • Conversational, chat-like question flow common to SurveySparrow forms
  • Positioned for workplace/employee reporting scenarios
  • Likely simple to launch as a lightweight internal form

아쉬운 점

  • Employee-focused framing rather than general visitor/customer experience
  • No adaptive AI interview to dig into unresolved or complex cases
  • No indication of automated quality scoring or per-response reporting

Typeform

Lost And Found Form Template

Typeform's template offers a clean, one-question-at-a-time interface well suited to basic lost-item intake, but it's a static form with predefined logic branching rather than a dynamic experience survey. It doesn't appear designed to measure satisfaction dimensions like staff helpfulness or resolution speed in depth. It's a good-looking form, not a fielding-ready recovery-experience research instrument.

잘하는 점

  • Polished, respondent-friendly one-question-at-a-time design
  • Basic conditional logic for branching based on answers
  • Fast to set up for simple lost-item reporting

아쉬운 점

  • No AI-driven follow-up to reconstruct what actually happened in a specific case
  • No built-in matrix or multi-dimensional satisfaction scoring around staff, ease, and speed
  • No transparent prompts or automated per-response quality scoring

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