Writing / Research
Customer Interview Synthesis
Turns raw interviews into evidence-backed patterns without flattening disagreement or uncertainty.
适用模型:ChatGPT
Atlas 案例库
Writing / Research
Turns raw interviews into evidence-backed patterns without flattening disagreement or uncertainty.
适用模型:ChatGPT
Atlas 案例库
Synthesize these customer interview notes for [DECISION]: [NOTES]. Separate repeated observations from isolated anecdotes. Cluster jobs, triggers, anxieties, workarounds, and desired outcomes. Quote short evidence snippets, flag contradictions and sampling bias, and do not invent frequency. End with opportunity hypotheses ranked by evidence strength plus the next interview questions that would most reduce uncertainty.
先选构图和媒介符合目标的效果图。
复制图片对应的提示词,替换主体变量,分别保留媒介、灯光和构图要求。
选择支持所需输入方式的图片模型;编辑照片时提供清晰参考图。
对照目标检查输出,每轮只改一个要求。
Turns a vague brand personality into a practical voice with rules and examples.
Frames a messy research question into evidence, counterarguments, and decisions.
Generates distinct campaign territories instead of a pile of interchangeable taglines.