Tópicos
Modelos de prompts para pesquisa com usuários: perguntas de pesquisa, guias de entrevista, extração de evidências, síntese de feedback, áreas de oportunidade e testes de protótipo
Os prompts de pesquisa com usuários devem preservar o que os participantes realmente disseram e o que a amostra permite sustentar. Estas receitas separam observações, interpretações, hipóteses, riscos de viés e decisões para os responsáveis humanos.
Insights de usuários
Connect research evidence to a bounded recommendation, alternatives, risks, conditions, and next validation without overstating certainty
Abrir receitaInsights de usuários
Translate a product team's problem statement into neutral, answerable questions tied to a real decision
Abrir receitaInsights de usuários
Turn session observations into evidence-counted usability issues without blaming participants or overstating prevalence
Abrir receitaInsights de usuários
Cluster feedback by underlying progress and breakdown while preserving source, variation, and uncertainty
Abrir receitaInsights de usuários
Trace behaviors, goals, constraints, and unmet needs to interview evidence without converting requests into requirements
Abrir receitaInsights de usuários
Translate confirmed user and business needs into scoped stories and observable behavior without inventing product decisions
Abrir receitaInsights de usuários
Turn research questions into realistic, non-leading tasks with success evidence, observations, prompts, and prototype limits
Abrir receitaInsights de usuários
Build a neutral conversation that elicits recent behavior, context, trade-offs, and evidence rather than feature approval
Abrir receitaInsights de usuários
Define evidence-based feature criteria, gates, scales, uncertainty, dependencies, and decision rules before scoring candidates
Abrir receitaInsights de usuários
Find language that permits incompatible implementations and expose the owner and evidence needed to decide
Abrir receita
