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Interview Synthesis

访谈综合整理

An interview synthesis transforms raw user research data into structured insights that drive product decisions. Rather than simply listing what participants said, a good synthesis identifies patterns across conversations, connects observations to underlying user needs, and translates findings into actionable recommendations.

访谈综合整理可以将原始的用户研究数据转化为能够推动产品决策的结构化洞察。一份优秀的整理结果不会单纯罗列受访者的发言，而是会识别多轮对话中的共性规律，将观察到的现象与用户深层需求相关联，并把研究结论转化为可落地的建议。

When to Use

适用场景

After completing a round of user interviews (typically 5+ participants)
Following customer discovery calls or sales feedback sessions
After usability testing sessions to consolidate observations
When stakeholders need a summary of research findings
Before ideation sessions to ground the team in user reality

完成一轮用户访谈后（通常受访者数量≥5）
客户探索电话或销售反馈会话结束后
可用性测试会话完成后，用于整合观察结果
利益相关方需要研究结论摘要时
创意构思会议开展前，帮助团队基于实际用户情况开展工作

Instructions

使用说明

When asked to synthesize interview findings, follow these steps:

Gather the Raw Material Collect all interview notes, transcripts, or recordings. Ensure you have data from at least 3 participants to identify meaningful patterns. Note the research objective and methodology used.
Create Participant Profiles Document each participant with relevant context: their role, segment, tenure, and any notable characteristics. This helps readers assess the representativeness of findings.
Identify Recurring Themes Read through all notes and tag observations by topic. Look for themes that appear across multiple participants (ideally 3+). Distinguish between frequently mentioned topics and one-off comments.
Extract Meaningful Quotes Capture 3-5 verbatim quotes per theme that powerfully illustrate the insight. Good quotes are specific, emotional, or particularly articulate. Always attribute quotes to participant IDs.
Synthesize into Insights Transform themes into insight statements. An insight goes beyond observation ("users mentioned X") to interpretation ("users need Y because of Z"). Connect what you heard to why it matters.
Formulate Recommendations Based on the insights, propose prioritized actions. Each recommendation should tie directly to an insight. Note confidence level based on strength of evidence.
Document Limitations Acknowledge what you didn't learn, sample biases, or areas needing further research. Honest limitations increase credibility.

当你需要对访谈结论进行综合整理时，遵循以下步骤：

收集原始材料 收集所有访谈笔记、转录文本或录音。确保你至少有来自3位受访者的数据，才能识别出有意义的共性规律。记录研究目标和使用的研究方法。
创建受访者档案 记录每位受访者的相关背景：他们的角色、所属群体、使用产品的时长，以及任何值得注意的特征。这有助于读者评估研究结论的代表性。
识别重复出现的主题 通读所有笔记，按主题给观察结果打标签。寻找在多位受访者（最好≥3）的发言中都出现的主题。区分高频提及的主题和偶发的单次评论。
提取有价值的引语 每个主题收集3-5条能够有力说明对应洞察的原文引语。优质引语应当具体、带有情绪或者表达格外清晰。所有引语都要标注对应的受访者ID。
整合为洞察结论 将主题转化为洞察陈述。洞察不能停留在观察层面（“用户提到了X”），而是要上升到解读层面（“用户需要Y，原因是Z”）。把你收集到的发言和其背后的重要性关联起来。
制定建议 基于洞察结论，提出优先级排序后的行动方案。每条建议都要直接对应一条洞察。根据证据的可信度标注建议的置信度。
记录局限性 说明你没有覆盖到的内容、样本偏差，或者需要进一步研究的领域。坦诚说明局限性可以提升结果的可信度。

Output Format

输出格式

Use the template in

references/TEMPLATE.md

to structure the output.

使用

references/TEMPLATE.md

中的模板来组织输出内容。

Quality Checklist

质量检查清单

Before finalizing, verify:

Themes are supported by evidence from 3+ participants
Quotes are verbatim and attributed to participant IDs
Insights explain "why" not just "what"
Recommendations are specific and actionable
Participant identities are protected (no PII)
Limitations and biases are acknowledged

最终定稿前，确认以下内容：

所有主题都有来自3位及以上受访者的证据支撑
引语都是原文内容，且标注了对应的受访者ID
洞察解释了“为什么”，而不仅仅是“是什么”
建议具体且可落地
受访者身份受到保护（无PII）
局限性和偏差已明确说明

See

references/EXAMPLE.md

for a completed example.

查看

references/EXAMPLE.md

获取完整的示例。

discover-interview-synthesis