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Speaker Request & Topic Interest Survey

Captures which speakers, topics, and formats your audience actually wants for upcoming events, so you can prioritize outreach with confidence instead of guessing. An AI follow-up interview digs into why a specific speaker or topic matters to the respondent and what problem they're hoping the session solves.

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샘플 질문

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질문 13개 · 약 7분
Q01
메시지

Thanks for helping us plan future sessions! We'd love to know which speakers and topics would be most valuable to you. Your responses are completely confidential and anonymized. This takes about 7 minutes.

Q02
단문형

Is there a specific speaker or expert you'd like us to invite? Feel free to name them (e.g., '(Replace with example: a named industry expert or author)').

Q03
객관식필수

Which topics would be most valuable for us to cover in upcoming sessions?

  • (Replace with Topic A relevant to your industry)
  • (Replace with Topic B relevant to your industry)
  • (Replace with Topic C relevant to your industry)
  • (Replace with Topic D relevant to your industry)
Q04
순위 매기기필수

Rank these same topics from most to least important to you right now.

  1. (Replace with Topic A relevant to your industry)
  2. (Replace with Topic B relevant to your industry)
  3. (Replace with Topic C relevant to your industry)
  4. (Replace with Topic D relevant to your industry)
드래그하여 순위 지정
Q05
객관식

What session format would you find most useful?

  • Keynote presentation
  • Interactive workshop
  • Panel discussion
  • Fireside chat / Q&A
  • Recorded webinar
Q06
의견 척도필수

If we booked a speaker on your top-ranked topic, how likely would you be to attend?

척도: 0 – 10
최소:Not at all likely최대:Extremely likely
Q07
매트릭스필수

How important is each of the following when we're choosing a speaker to invite?

5개 행 × 5개 열
  • Deep expertise in the topic
  • Ability to present engagingly
  • Name recognition in the industry
  • Practical, actionable takeaways
  • Availability for Q&A
열: Not important · Slightly important · Important · Very important · Essential
Q08
점수 배분

You have 100 points to allocate across these factors based on what matters most when picking a speaker. Split them however you like.

  • Topic relevance
  • Speaker's reputation
  • Presentation quality
  • Cost/budget fit
  • Format flexibility
100점 배분
Q09
AI 인터뷰

Explore why the respondent named the specific speaker or topic they did: what problem, question, or gap are they hoping this session addresses, and what would make the session a disappointment versus a success for them? If they didn't name a specific speaker, probe what would make their top-ranked topic feel urgent enough to prioritize attending. Anchor on concrete examples from their recent work, not general interest.

Q10
객관식

What would most likely stop you from attending a session on your preferred topic?

  • Scheduling conflicts
  • Cost of attendance
  • Unclear value for my role
  • Format doesn't suit me
  • Nothing would stop me
Q11
단문형

Your job title or role

Q12
객관식

Which best describes your organization's size?

  • 1-10 employees
  • 11-50 employees
  • 51-200 employees
  • 201-1000 employees
  • 1000+ employees
  • Prefer not to say
Q13
메시지

That's everything — thank you! Your requests directly shape who we invite and what we cover in upcoming sessions.

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 simple intake form by using ranking and a 100-point constant-sum allocation to quantify which topics and selection factors actually matter most to respondents, not just which ones they check off.
  • An AI follow-up interview automatically digs into why a respondent named a specific speaker or topic and what problem they're hoping the session solves — insight a static form can't capture.
  • Pairs a matrix on speaker-selection criteria with a likelihood-to-attend opinion scale and a question on what would stop attendance, giving event planners both demand signal and risk factors in one flow.
  • Closes with role and organization-size questions so responses can be segmented by audience type when prioritizing outreach.

Jotform

Nonprofit Organization Speaker Request Form Template

This is a static intake form for collecting speaker requests for a nonprofit, not a survey exploring audience topic preferences. It's fielding-ready as a basic request form but doesn't attempt to prioritize topics or probe respondent motivation. Useful for logging who wants a speaker, not for deciding which speakers or topics to prioritize.

잘하는 점

  • Quick to deploy from Jotform's large template library
  • Likely easy to customize fields and branding without technical setup
  • Fits directly into existing nonprofit request/intake workflows

아쉬운 점

  • Static form fields only — no adaptive AI follow-up to understand why a speaker or topic matters
  • No built-in ranking, point-allocation, or matrix questions to quantify topic priority
  • No automated per-response quality scoring or generated insight report

SurveySparrow

Speaker Request Form Template

A conversational-style form aimed at streamlining speaker booking requests, in line with SurveySparrow's chat-like UX. It's a ready-to-field template but is oriented toward logistics of a request rather than surfacing which topics or speakers an audience actually wants across a group. No indication it explores respondent reasoning behind a request.

잘하는 점

  • Conversational, one-question-at-a-time format that may feel more engaging than a static form
  • Likely mobile-friendly given SurveySparrow's product focus
  • Part of a broader survey platform, so basic branching logic is probably available

아쉬운 점

  • No adaptive AI interview to probe the reasoning behind a requested speaker or topic
  • No voice AI interview option or guided screen-share tasks
  • No transparent prompt methodology or automated quality scoring of responses

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