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refoundai/designing-surveys

Ajuda os usuários a projetar pesquisas eficazes. Use quando alguém estiver criando pesquisas de satisfação, medições de NPS, pesquisas de product-market fit ou mecanismos de coleta de feedback.

O que é designing-surveys?

Esta skill capacita desenvolvedores e usuários de agentes de IA a criar pesquisas bem estruturadas e acionáveis, cobrindo casos de uso como pesquisas de satisfação de clientes, medições de Net Promoter Score (NPS), validação de product-market fit e coleta geral de feedback. Ela oferece orientação prática sobre planejamento, redação de perguntas, design do fluxo e análise de resultados, garantindo que as pesquisas gerem insights úteis. Suporta plataformas de agentes como Claude Code, Cursor e Codex, integrando-se diretamente ao fluxo de trabalho de desenvolvimento. A skill funciona analisando o contexto fornecido pelo usuário e sugerindo tipos de perguntas relevantes (abertas, fechadas, Likert), escalas de resposta adequadas, técnicas para aumentar a taxa de resposta e boas práticas para evitar vieses. É útil para equipes de produto, marketing e atendimento ao cliente que desejam coletar dados confiáveis e tomar decisões baseadas em evidências.

Funciona com~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/refoundai/lenny-skills/tree/main/skills/designing-surveys

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Documentação

O que designing-surveys faz?

Ajude os usuários a projetar pesquisas eficazes. Use quando alguém estiver criando pesquisas de satisfação, medições de NPS, pesquisas de product-market fit ou mecanismos de coleta de feedback.

Visão Geral

Esta skill auxilia na criação de pesquisas que produzem dados confiáveis e acionáveis. Seja medindo a satisfação do cliente, identificando oportunidades de melhoria ou validando uma ideia de produto, a skill fornece orientação passo a passo e melhores práticas.

Como Usar

  1. Defina o objetivo – O que você quer aprender com esta pesquisa?
  2. Escolha o tipo de pesquisa – NPS, satisfação, product-market fit ou feedback geral.
  3. Selecione as perguntas – A skill sugere perguntas abertas, fechadas, de múltipla escolha e escalas Likert.
  4. Estruture o fluxo – Organize as perguntas de forma lógica e evite viés.
  5. Analise os resultados – A skill ajuda a interpretar respostas e extrair insights.

Exemplos de Uso

  • "Ajude-me a criar uma pesquisa NPS para meu SaaS."
  • "Preciso validar o product-market fit do meu novo aplicativo."
  • "Quero coletar feedback sobre a última atualização do produto."
  • "Como estruturar uma pesquisa de satisfação para suporte ao cliente?"

Boas Práticas

  • Mantenha curta – Pesquisas longas têm baixa taxa de conclusão.
  • Use linguagem clara – Evite jargões técnicos ou termos ambíguos.
  • Evite perguntas direcionadas – Não induza respostas.
  • Ofereça opção "Outro" – Dê liberdade para respostas não previstas.
  • Teste antes de lançar – Faça um piloto com um grupo pequeno.

Plataformas Suportadas

  • Claude Code
  • Cursor
  • Codex

Contribuição

Sugestões e melhorias são bem-vindas! Abra uma issue ou pull request no repositório.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

refoundai/ai-evals

Help users create and run AI evaluations. Use when someone is building evals for LLM products, measuring model quality, creating test cases, designing rubrics, or trying to systematically measure AI output quality.

refoundai/ai-product-strategy

Help users define AI product strategy. Use when someone is building an AI product, deciding where to apply AI in their product, planning an AI roadmap, evaluating build vs buy for AI capabilities, or figuring out how to integrate AI into existing products.

refoundai/analyzing-user-feedback

Help users synthesize and act on customer feedback. Use when someone is analyzing NPS responses, processing support tickets, reviewing user research, synthesizing feedback from multiple channels, or trying to identify patterns in customer input.

refoundai/behavioral-product-design

Help users apply behavioral science to product design. Use when someone is designing for habit formation, reducing friction, applying psychology to UX, increasing retention through behavioral principles, or using nudges to influence user behavior.

refoundai/brand-storytelling

Help users craft compelling brand narratives. Use when someone is defining brand strategy, writing company positioning, creating pitch narratives, developing messaging frameworks, or trying to make their company story more memorable.

refoundai/building-a-promotion-case

Help users get promoted at work. Use when someone is preparing for a promotion conversation, building their case for advancement, trying to understand what's blocking their promotion, or figuring out how to get to the next level in their career.

refoundai/building-sales-team

Help users build and scale their sales organization. Use when someone is hiring their first salespeople, deciding when to bring on sales leadership, structuring sales compensation, or transitioning from founder-led sales.

refoundai/building-team-culture

Help users build and maintain strong team culture. Use when someone is defining team values, creating psychological safety, onboarding to a new team, navigating cultural change, or building distributed team norms.

refoundai/building-with-llms

Help users build effective AI applications. Use when someone is building with LLMs, writing prompts, designing AI features, implementing RAG, creating agents, running evals, or trying to improve AI output quality.

refoundai/career-transitions

Help users navigate career changes and pivots. Use when someone is considering a new role, transitioning into product management, evaluating job offers, taking a sabbatical, or feeling stuck in their current position.

refoundai/coaching-pms

Help users develop and coach product managers. Use when someone is managing PMs, creating development plans, running performance reviews, or trying to level up their PM team's capabilities.

refoundai/community-building

Help users build and grow product communities. Use when someone is starting a community, scaling an ambassador program, driving community-led growth, or choosing between user, developer, or partner communities.

refoundai/competitive-analysis

Help users understand and respond to competition. Use when someone is positioning against competitors, evaluating market threats, running competitive war games, or deciding how much to focus on competitors versus customers.

refoundai/conducting-interviews

Help users conduct effective hiring interviews. Use when someone is designing an interview loop, crafting interview questions, evaluating candidates in real-time, or building a structured interview process.

refoundai/conducting-user-interviews

Help users run better customer and user interviews. Use when someone is preparing for user research, planning discovery interviews, writing interview questions, analyzing interview findings, or trying to understand customer needs.

refoundai/content-marketing

Help users build content marketing strategies. Use when someone is starting a blog, building SEO, creating thought leadership content, or deciding on content formats and distribution channels.

refoundai/cross-functional-collaboration

Help users work effectively across functions. Use when someone is navigating PM-engineering relationships, resolving cross-team conflicts, building product trios, or improving handoffs between design, engineering, and product.

refoundai/defining-product-vision

Help users create compelling product visions. Use when someone is writing a vision statement, defining a long-term product direction, aligning teams on the future state, or distinguishing vision from strategy.

refoundai/delegating-work

Help users delegate effectively. Use when someone is struggling to let go of tasks, deciding what to delegate, building team autonomy, or balancing being hands-on vs hands-off.

refoundai/design-engineering

Help users understand and build design engineering capabilities. Use when someone is creating a design engineering function, hiring design engineers, or bridging the gap between design and engineering teams.

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