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Server Build Request Intake Survey

A structured intake form for IT and infrastructure teams to capture what a requester actually needs before provisioning a new server — workload type, environment, resource needs, and data sensitivity — with an AI follow-up that digs into usage patterns, dependencies, and downtime tolerance that checkbox fields miss.

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샘플 질문

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

질문 14개 · 약 7분
Q01
메시지

Thanks for submitting a server build request! Your responses are completely confidential and anonymized. A few quick questions will help our infrastructure team size and configure it correctly the first time. About 8 minutes.

Q02
객관식필수

What type of server are you requesting?

  • Physical server
  • Virtual machine
  • Cloud instance
  • Container / Kubernetes workload
  • Not sure — need guidance
Q03
객관식필수

What will this server primarily be used for?

  • Web application hosting
  • Database
  • File or storage server
  • Development / testing sandbox
  • Internal tool or automation
  • Batch or scheduled processing
Q04
단문형필수

What project or application is this server for? (Give it a name we can reference in tickets.)

Q05
객관식필수

Which environment is this server for?

  • Production
  • Staging / pre-production
  • Development
  • QA / testing
Q06
매트릭스필수

How much of each resource do you expect this server to need?

4개 행 × 4개 열
  • Processing power (CPU)
  • Memory (RAM)
  • Storage capacity
  • Network throughput
열: Low · Medium · High · Not sure
Q07
의견 척도필수

How tolerant is this workload of downtime or interruptions?

척도: 1 – 10
최소:Can be down for hours with no real impact최대:Must be available at all times
Q08
객관식필수

What is the sensitivity of the data this server will store or process?

  • Public, no restrictions
  • Internal use only
  • Confidential business data
  • Regulated data (e.g., customer PII, health, or payment data)
  • Not sure — need guidance
Q09
날짜필수

By what date do you need this server ready to use?

Q10
장문형

List any systems this server needs to connect to, software it must run, or other technical dependencies we should know about.

Q11
AI 인터뷰

Probe the real workload behind the requester's stated purpose and resource estimates: ask what triggers spikes in usage, roughly how many people or systems will hit it at peak, and what other services it must talk to. Ask concretely what would happen to their work if this server went down for an hour, to sanity-check their downtime tolerance answer. If they picked 'Not sure' for server type or data sensitivity, walk them through what data will live on it and who can access it, then flag their answer for infrastructure team review rather than assuming a default.

Q12
단문형

If known, what cost center or budget code should this build be charged to? (Leave blank if you don't have one yet.)

Q13
드롭다운

Which department are you requesting this on behalf of?

  • Engineering
  • IT Operations
  • Data / Analytics
  • Product
  • Marketing
  • Finance
  • Other
  • Prefer not to say
Q14
메시지

All set — thank you! Your request goes straight to our infrastructure team, who'll use these details (and your follow-up answers) to size and schedule the build. You'll hear back with a timeline shortly.

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 structured intake fields (server type, primary use, environment, resource matrix, data sensitivity) with an AI follow-up interview that digs into real usage patterns, dependencies, and downtime tolerance that checkboxes miss.
  • Captures downtime tolerance with a dedicated opinion scale, giving infra teams a usable signal for SLA and redundancy planning instead of a vague text field.
  • Includes cost-center/budget code and department fields so requests can be routed, approved, and charged correctly without a follow-up email chain.
  • Bookends the intake with clear chat messages and routes straight into an auto-generated report for the infrastructure team, rather than leaving raw answers to be manually parsed.

SurveySparrow

Streamline Server Builds | Server Build Request Form Template

A ready-to-field template built specifically for capturing server build requests, so it's directly comparable in purpose to ours. It relies on static fields and conditional logic rather than a live conversational interview, meaning ambiguous answers (e.g., vague resource estimates) can't be clarified in the moment. No indication of automated per-response quality scoring or published prompt methodology.

잘하는 점

  • Purpose-built specifically for server build requests, not a generic IT form
  • Part of an established survey/form platform with branching logic capability
  • Likely supports quick deployment for IT teams already on SurveySparrow

아쉬운 점

  • No adaptive AI follow-up to probe unclear workload or dependency answers
  • No voice AI interview option
  • No visible automated quality scoring or transparent prompt methodology

Typeform

Server Build Request Form Template

A dedicated, fielding-ready template for the same use case, benefiting from Typeform's clean one-question-at-a-time conversational UI. It's still a static form under the hood — logic jumps can branch based on prior answers but can't generate a genuinely new follow-up question tailored to what a requester typed. No published scoring or reporting automation specific to server intake.

잘하는 점

  • Polished, distraction-light form-filling experience
  • Conditional logic to show/hide fields based on prior answers
  • Widely used, well-documented template platform for quick setup

아쉬운 점

  • No AI interviewer that dynamically probes usage patterns or downtime tolerance
  • No voice AI interview mode
  • No automated per-response quality scoring or transparent prompt disclosure

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