모든 템플릿

Internet Service Provider Experience Evaluation

Measures how satisfied customers are with their internet provider's speed, reliability, support, and value — and uses an AI follow-up interview to uncover the specific incidents behind their satisfaction or recommendation score. Built for ISPs and telecom teams running quarterly or post-interaction service reviews.

샘플 질문

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

질문 12개 · 약 7분
Q01
메시지

Hi! We'd love your honest feedback on your internet service. Your responses are completely confidential and anonymized. This will take about 4-5 minutes and helps us fix what's actually getting in your way.

Q02
객관식

Which type of internet connection do you currently have with (Replace with your ISP name)?

  • Fiber
  • Cable
  • DSL
  • Satellite
  • Fixed wireless
  • Not sure
Q03
의견 척도필수

Overall, how satisfied are you with your internet service?

척도: 110
최소:Very dissatisfied최대:Very satisfied
Q04
매트릭스필수

How would you rate your provider on each of the following?

5개 행 × 4개 열
  • Connection speed
  • Reliability (few outages)
  • Value for money
  • Customer support quality
  • Billing clarity
: Poor · Fair · Good · Excellent
Q05
객관식필수

In the last 30 days, how often did you experience a service outage or significant slowdown?

  • Never
  • 1-2 times
  • 3-5 times
  • More than 5 times
Q06
의견 척도필수

How likely are you to recommend (Replace with your ISP name) to a friend or colleague?

척도: 010
최소:Not at all likely최대:Extremely likely
Q07
AI 인터뷰

Probe the reasoning behind the respondent's overall satisfaction and recommendation scores, especially if they diverge from their attribute ratings. Identify the single most recent incident (outage, support call, billing issue) that shaped their view, what happened, and how it was resolved or not. If they gave the lowest-rated attribute a poor score, ask what a fix would look like for them. If satisfaction is high, confirm whether that's despite or because of a specific experience.

Q08
객관식

How likely are you to switch to a different internet provider in the next 12 months?

  • Definitely will switch
  • Probably will switch
  • Not sure
  • Probably will stay
  • Definitely will stay
Q09
점수 배분

You have 100 points to allocate. Distribute them across these factors based on how much each matters when you choose or stay with an internet provider.

  • Price
  • Speed
  • Reliability
  • Customer service
  • Contract flexibility
100점 배분
Q10
객관식

How long have you been a customer with your current internet provider?

  • Less than 6 months
  • 6-12 months
  • 1-3 years
  • 3-5 years
  • 5+ years
  • Prefer not to say
Q11
객관식

Which best describes your household size?

  • 1 person
  • 2 people
  • 3-4 people
  • 5+ people
  • Prefer not to say
Q12
메시지

Thanks so much for sharing this! Your feedback goes straight to our service team to prioritize fixes and improve support — no individual answers are shared outside that review.

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

  • Pairs a straightforward satisfaction and recommendation score with a matrix rating of specific attributes (speed, reliability, support, value) and a constant-sum exercise to see which factors actually drive satisfaction.
  • Includes a dedicated AI follow-up interview that probes the reasoning behind the respondent's satisfaction and recommendation score to surface the specific incident (outage, billing issue, support call) behind the number.
  • Captures churn-risk signals directly — recent outage frequency, likelihood to switch providers in the next 12 months, and tenure — so ISP teams can segment at-risk customers, not just average a score.
  • Runs on a platform with automated per-response quality scoring and auto-generated reports, so open-ended follow-up answers are reviewed for substance rather than left as unread verbatims.

QuestionPro

Service Evaluation Internet Service Provider Survey Template

This is a directly comparable, fielding-ready template built specifically for ISP service evaluation. It draws on QuestionPro's broad survey question library, but is structured as a fixed, static questionnaire rather than an adaptive interview.

잘하는 점

  • Purpose-built for the ISP/telecom use case rather than a generic service survey
  • Backed by an established survey platform with a wide range of question types and reporting tools

아쉬운 점

  • Static question set with no adaptive AI follow-up to dig into why a customer gave a particular score
  • No automated per-response quality scoring or transparent, published prompt methodology

Jotform

Create Free Service Evaluation Forms - Service Evaluation Form Templates

This is a category/hub page listing many general-purpose service evaluation form templates rather than a single ISP-specific, fielding-ready survey. It would need significant customization to cover internet-specific dimensions like outages, speed, or switching risk.

잘하는 점

  • Large library of customizable form templates spanning many industries
  • Easy drag-and-drop form builder for quick setup and branding

아쉬운 점

  • No ISP-specific template — this is a general collection page, not a targeted internet-service evaluation instrument
  • Static form fields only, with no adaptive AI interview or automated response quality scoring

SurveyMonkey

Market Research - Service Survey Template

This is a generic market-research service survey template, not tailored to internet/telecom specifics such as outages, connection type, or churn risk. It would need heavy customization to match an ISP-focused review.

잘하는 점

  • Backed by a well-known survey platform with strong analytics and reporting features
  • Flexible generic template that can be adapted across service industries

아쉬운 점

  • No ISP/telecom-specific question set (no outage tracking, connection-type, or switching-risk questions built in)
  • Fixed, static questions with no adaptive AI follow-up interview to uncover the reasoning behind scores

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