Research Instrument Pilot Test Evaluation
Collects structured feedback from pilot participants on instrument clarity, cognitive burden, ambiguity sources, and session flow to guide pre-launch refinement of research questionnaires.
샘플 질문
템플릿에 포함된 내용을 미리 확인해 보세요. 모든 질문은 설문 공개 전에 자유롭게 수정할 수 있습니다.
Which device did you primarily use during today's pilot session?
- Laptop or desktop
- Tablet
- Smartphone
- Other (please specify)
How clear were the instructions provided throughout the pilot session?
Overall, how mentally taxing was today's pilot session?
Overall, how smooth was the flow of the session from start to finish?
We'd like to explore your pilot experience in a bit more depth. An AI moderator will ask you a few follow-up questions based on your responses.
What is your age group?
- 18–24
- 25–34
- 35–44
- 45–54
- 55–64
- 65+
- Prefer not to say
Thank you for completing this feedback session. Your responses will directly help us improve the research instruments before the main study. If you have any questions, please contact the research team.
Approximately how long did it take you to complete today's pilot session?
- Less than 5 minutes
- 5–10 minutes
- 11–15 minutes
- 16–20 minutes
- 21–30 minutes
- More than 30 minutes
How clear was the wording of individual questions?
To what extent did the session feel repetitive?
Which of the following issues, if any, did you encounter? Select all that apply.
- Confusing skip or branching logic
- Unable to select or change an answer
- An item did not load properly
- Progress indicator was unclear
- Instructions were missing or inconsistent
- Other (please specify)
- None of the above
Based on your experience today, is there anything else you would like to share about the pilot session?
Which of the following best describes your gender? Select all that apply.
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
How clear were the response options and scale labels?
Rank the following factors by how much they contributed to any fatigue you experienced. Drag the biggest contributor to the top.
- Length of session
- Repetitive items
- Complex or technical wording
- Unclear instructions or scale labels
- Visual layout or design
- Technical issues (e.g., slow loading)
Please describe or paste any specific items, phrases, or instructions that were confusing (optional).
If you selected "Prefer to self-describe," please specify (optional).
How many items, if any, felt ambiguous or hard to interpret?
- None
- 1–2 items
- 3–5 items
- 6–10 items
- More than 10 items
In which region do you currently live?
- Africa
- Asia
- Europe
- North America
- Oceania
- South America
- Prefer not to say
Rank the following factors by how much they contributed to any ambiguity you experienced. Drag the biggest contributor to the top.
- Vague wording
- Technical terms or jargon
- Double-barreled items
- Missing response options
- Unclear scale labels
- Visual layout or formatting
What is the highest level of education you have completed?
- High school or less
- Some college / Associate degree
- Bachelor's degree
- Master's degree
- Doctorate
- Other
- Prefer not to say
What is your current employment status?
- Employed full-time
- Employed part-time
- Self-employed
- Student
- Retired
- Unemployed and looking for work
- Not seeking work
- Prefer not to say
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.
이 템플릿을 선택하는 이유
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차별화 포인트
- Includes a dedicated AI follow-up interview segment that lets an AI moderator probe deeper into a participant's pilot experience in real time, something static form builders can't do
- Uses ranking questions to isolate specific contributors to ambiguity and to fatigue, rather than relying on a single generic satisfaction score
- Pairs opinion-scale ratings on instruction clarity, question wording clarity, response-option clarity, cognitive burden, repetitiveness, and overall flow with open-text prompts for verbatim problem examples
- Captures pilot-session context (device used, completion time, issues encountered) plus standard demographic segmentation (age, gender, region, education, employment) to support pre-launch instrument refinement
설문을 공개할 준비가 되셨나요?
이 템플릿을 편집기에서 열어 보세요. 첫 응답자가 보기 전에 모든 부분을 원하는 대로 바꿀 수 있습니다.
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