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Developer Documentation Findability & Navigation UX Survey
Evaluates how easily developers can find, navigate, and understand technical documentation. Measures discoverability, search quality, information architecture fit, and terminology clarity to prioritize documentation UX improvements.
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Developer Documentation Findability & Navigation UX Survey
Welcome! This survey asks about your most recent experience using developer documentation (within the last 30 days). Your responses will help improve documentation findability, navigation, and clarity. This survey takes approximately 6–8 minutes. Participation is voluntary and you may stop at any time. There are no right or wrong answers — we are interested in your honest opinions. All responses are confidential and will be reported only in aggregate.
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Tema Padrão. Você pode mudar as cores e as fontes.
Perguntas de exemplo
Uma prévia do que há no modelo. Todas as perguntas podem ser editadas antes de publicar.
20 perguntas · ~10 min
Q01
Múltipla escolha
Have you used any developer documentation in the last 30 days?
- Yes
- No
Q02
Múltipla escolha
How often do you use developer documentation?
- Daily
- Several times a week
- Weekly
- Monthly
- Less often
Q03
Texto longo
Which documentation site or product did you use most recently?
Q04
Escala de opinião
How easy was it to find the topic you needed?
Escala: 1 – 7
Mín:Very difficultMáx:Very easy
Q05
Escala de opinião
How much effort did it take to find the information you needed?
Escala: 1 – 7
Mín:Very little effortMáx:A great deal of effort
Q06
Escala de opinião
How would you rate the overall navigation structure of the documentation you used?
Escala: 1 – 7
Mín:Very poorMáx:Excellent
Q07
Múltipla escolha
Did you use the site's search feature during your most recent session?
- Yes
- No
Q08
Escala de opinião
How relevant were the search results to what you were looking for?
Escala: 1 – 7
Mín:Not at all relevantMáx:Extremely relevant
Q09
Ordenação
Rank the following navigation aids by how much they help you find information (most helpful first).
- Search
- Table of contents
- Left-hand sidebar
- On-page headings
- Related links
- Site-wide navigation
Arraste para ordenar
Q10
Escala de opinião
How well did the page structure and content flow match the task you were trying to accomplish?
Escala: 1 – 7
Mín:Not at all wellMáx:Extremely well
Q11
Escala de opinião
After reading the documentation, how confident were you that you could complete your task?
Escala: 1 – 7
Mín:Not at all confidentMáx:Completely confident
Q12
Escala de opinião
How clear and consistent was the terminology used in the documentation?
Escala: 1 – 7
Mín:Very unclear and inconsistentMáx:Very clear and consistent
Q13
Texto longo
Please list any terms, acronyms, or parameter names that were unclear or confusing. Include examples if possible.
Q14
Texto longo
Was anything missing or hard to locate? Please describe the topic and where you expected to find it.
Q15
Entrevista com IA
Based on your survey responses, we'd like to explore your documentation experience in a bit more depth. An AI moderator will ask you a couple of follow-up questions.
Q16
Múltipla escolha
Which best describes your primary role?
- Front-end developer
- Back-end developer
- Full-stack developer
- Mobile developer
- Data / ML practitioner
- DevOps / SRE
- Technical writer
- Product manager
- Other
Q17
Múltipla escolha
How many years of professional coding or technical experience do you have?
- 0–1
- 2–4
- 5–9
- 10+
Q18
Múltipla escolha
What is the primary programming language you used with this documentation?
- JavaScript / TypeScript
- Python
- Java
- C# / .NET
- Go
- C / C++
- Ruby
- PHP
- Swift / Kotlin
- Other
Q19
Múltipla escolha
What is the size of your organization?
- Just me
- 2–10
- 11–50
- 51–250
- 251–1,000
- 1,001+
Q20
Lista suspensa
In which region are you located?
- North America
- Europe
- Asia
- South America
- Africa
- Oceania
- Middle East
Mensagem
Thank you for your time — your feedback directly helps improve developer documentation!
O que está incluído
Acompanhamento com IA
Sondagens adaptativas nas respostas abertas que revelam detalhes que um formulário estático deixaria passar.
Verificações de atenção
Proteções integradas contra respostas apressadas e participantes de baixa qualidade.
Textos escritos por IA
Redação, ordem e ramificações escritas pela IA, ajustadas ao seu objetivo de pesquisa.
Relatório automático
Temas, citações e um resumo em linguagem simples se escrevem sozinhos assim que as respostas chegam.
Como se compara
Analisamos os modelos mais parecidos de outras ferramentas de pesquisa. Veja o que elas fazem bem e onde este modelo vai além.
Por que este modelo
- Includes an AI follow-up interview that adapts to each respondent's earlier answers about their documentation experience, going beyond fixed-choice questions
- Combines quantitative UX metrics (findability, search relevance, navigation structure, terminology clarity) with open-text follow-ups on unclear terms and missing content
- Uses a ranking exercise to prioritize which navigation aids (e.g., search, sidebar, breadcrumbs) actually help users, giving direct input for IA decisions
- Captures role, experience level, primary language, and org size as segmentation variables so findability issues can be analyzed by developer persona
QuestionPro
Technical Documentation Survey TemplateThis is a fielding-ready static survey template focused on technical documentation feedback, covering clarity and usefulness at a general level. It's a reasonable starting point for basic satisfaction tracking but doesn't appear structured around specific UX dimensions like search quality or information architecture fit. As with most QuestionPro templates, it is built for standard multiple-choice/rating question flows rather than conversational depth.
O que faz bem
- Ready-to-use template within an established survey platform with broad question-type support
- Backed by QuestionPro's reporting and analytics dashboard
- Likely customizable within their survey builder for teams already on that platform
Onde deixa a desejar
- No adaptive AI follow-up questioning — respondents get the same fixed question set regardless of their answers
- No voice AI interview or guided screen-share task option to observe actual navigation/search behavior
- No published methodology on how questions were validated or scored, unlike a platform with transparent, per-response quality scoring
Perguntas frequentes
Quais perguntas estão no modelo “Developer Documentation Findability & Navigation UX Survey”?
O modelo inclui 20 perguntas prontas para usar, começando por: “Have you used any developer documentation in the last 30 days?” · “How often do you use developer documentation?” · “Which documentation site or product did you use most recently?”. O conjunto completo aparece acima e todas as perguntas podem ser editadas.
Quanto tempo leva para responder a esta pesquisa?
Os participantes normalmente terminam as 20 perguntas em cerca de 10 minutos.
Posso personalizar este modelo?
Sim: cada pergunta, cada opção de resposta e a ordem podem ser editadas antes de publicar. Você pode adicionar ou remover perguntas, ou pedir ao editor com IA para refazer a pesquisa em torno do seu objetivo.
Este modelo é gratuito?
Sim. Abra no editor e comece a personalizar agora: não é preciso criar conta para testar, e o plano gratuito cobre a publicação da sua pesquisa.
Pronto para publicar?
Abra este modelo no editor. Tudo é seu para mudar antes de o primeiro participante ver.
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