asb-interview-debrief
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ChineseInterview Debrief: One Conversation, On the Record
访谈总结:单次对话,正式记录
An interview that isn't put on the record promptly gets misremembered —
confirmation bias quietly keeps the parts the interviewer liked and drops
the rest. The original method keeps a spreadsheet: one row per interview
question, one column per interview, notes in the cells. This skill is
that spreadsheet as files: after each conversation it distills whatever
raw material exists — a transcript, hasty notes, a voice-memo dump — into
one brief, structured debrief file, mapped question by question, exact
words preserved, gaps honest, surprises kept even when they fit nowhere.
The user walks away with evidence a later synthesis can use without ever
re-reading the transcript.
如果访谈不及时整理成正式记录,内容就会被记错——确认偏差会悄悄保留访谈者喜欢的部分,丢弃其余内容。原始方法使用电子表格:每行对应一个访谈问题,每列对应一次访谈,单元格中记录笔记。本Skill将该电子表格转化为文件形式:每次对话后,将现有原始素材(文字记录、仓促笔记、语音转写内容)提炼为一份简洁的结构化总结文件,逐问题对应,保留原话,如实标注空白内容,即使意外发现不符合任何问题也会保留。用户无需重新阅读原始记录,即可得到后续分析可用的证据。
The mental model
核心思路
The record turns anecdote into evidence
记录将轶事转化为证据
The interview method chains numbered artifacts: goal questions (G1,
G2, …) that the user needs answered but can't ask directly; hypotheses
(H1, H2, …), the user's falsifiable best guesses, mapped to goals; and
open-ended interview questions (Q1, Q2, …), each a miniature experiment
mapped to the hypotheses it tests. A debrief completes the chain for one
conversation: each answer sits next to the question it answers, which
carries the hypotheses it tests. Because every debrief uses the same
Q-numbers, answers become comparable across interviews — that's what
lets a later pass see that five of seven people said the same thing.
Unmapped notes are anecdotes; mapped notes are evidence.
该访谈方法串联起一系列编号成果:用户需要解答但无法直接提出的目标问题(G1、G2……);用户可证伪的最佳猜测——假设(H1、H2……),与目标问题对应;以及开放式访谈问题(Q1、Q2……),每个问题都是一个小型实验,对应其要验证的假设。一份总结完成了单次对话的串联:每个答案与其对应的问题相邻,而问题又关联着要验证的假设。由于每份总结都使用相同的Q编号,不同访谈的答案具备可比性——这让后续分析能发现7位受访者中有5位给出了相同的回答。未对应到问题的笔记是轶事;对应后的笔记是证据。
Brief is the point
简洁是核心目标
A debrief is not a summary essay; it's a row of cells. Each answer is
one to three lines: the fact, the number, the story in miniature — with
the customer's key phrases quoted verbatim. The reader of this file is
a future synthesis pass across many debriefs; ten pages per interview
would defeat it. Compression is honest as long as nothing is added:
shrink the words, never the meaning.
总结不是一篇摘要散文,而是电子表格的一行单元格。每个答案为1-3行:事实、编号、微型场景——其中客户的关键短语会加引号保留原话。这份文件的读者是后续多份总结的综合分析环节;如果每份访谈总结长达10页,会完全违背其设计初衷。只要不添加额外内容,压缩就是诚实的:精简文字,绝不缩减原意。
Exact words are data
原话即数据
Some of the most valuable findings are vocabulary: what customers call
themselves, their work, the product category, the pain. Positioning
gets built from customers' exact words, not the company's. So when a
phrase does work — how they describe the problem, what they call the
tool, an emotionally loaded word they volunteered — it goes in the file
in quotation marks, verbatim, even inside an otherwise compressed
answer. A paraphrase of vocabulary is destroyed vocabulary.
最有价值的发现往往是词汇:客户如何称呼自己、他们的工作、产品类别、痛点。定位是基于客户的原话构建的,而非公司的话术。因此,当某个短语发挥作用时——比如他们描述问题的方式、对工具的称呼、主动提及的带有情绪色彩的词汇——都要加引号原话放入文件,即使在其他压缩后的答案中也是如此。对词汇的转述会毁掉词汇本身的价值。
The addenda is where the learning hides
附录是新知藏身处
Conversations stray from the script, and straying is often where the
new learning is — attitudes and behaviors the hypothesis list never
anticipated. Everything interesting that fits no question goes in an
addenda section: verbatim where the words matter, one bullet per
observation. Never discard something because there's no slot for it;
the method expects the best discoveries to arrive slotless. Slotless
doesn't mean unmapped, though: when an addenda item plainly bears on a
hypothesis, tag it with the [H-numbers] — evidence is worth more
mapped. Mark the items that genuinely surprised the interviewer —
surprise is the signal the whole method runs on, and the later
synthesis step mines it.
对话会偏离预设脚本,而偏离之处往往就是新发现所在——假设清单未曾预料到的态度和行为。所有不符合任何问题的有趣内容都放入附录部分:词汇重要的地方保留原话,每条观察用一个项目符号列出。绝不要因为没有对应位置就丢弃内容;该方法预期最棒的发现往往没有预设位置。不过,无对应位置不意味着无关联:当附录内容明显与某个假设相关时,标注对应的[H编号]——关联后的证据价值更高。标记那些真正让访谈者感到意外的内容——意外是整个方法运行的信号,后续综合分析环节会重点挖掘这类内容。
Market-guru answers
代市场发声式回答
Nearly every interviewee at some point stops reporting their own life
and starts speaking for the market: "I'd pay $50, but most people
would expect this free." People are experts on themselves, not on
everyone else — that's why interviews exist. Record such an answer, but
flag it as market-guru commentary; where it contains a real self-report
("I'd pay $50"), extract that part as the actual answer. The flag lives
wherever the moment occurred — inside the answer cell if it arrived
within a question, as an addenda bullet if it was freestanding. The
flag matters later: guru claims weigh almost nothing as evidence about the
market, full weight as evidence about the speaker.
几乎每位受访者都会有停止讲述自身经历、转而代表市场说话的时刻:“我愿意付50美元,但大多数人希望免费。”人们是自己的专家,但不是所有人的专家——这正是访谈存在的意义。记录这类回答,但标记为代市场发声式评论;如果其中包含真实的自我陈述(“我愿意付50美元”),将这部分提取为实际答案。标记放在内容出现的位置:如果是在某个问题的回答中出现,就放在对应单元格内;如果是独立内容,就作为附录的项目符号。标记在后续很重要:这类代市场发声的言论作为市场证据几乎没有权重,但作为受访者自身的证据则具备完整权重。
Vocabulary
术语定义
- Debrief — the record of one conversation: header, answers mapped to Q-numbers, addenda. One file per conversation.
- Addenda — things heard that fit no question. Not an afterthought; often the most valuable section.
- Skipped honestly — a question never reached is marked as not asked. An unasked question has no answer, and inferring one would manufacture evidence.
- Market-guru answer — testimony about "most people" rather than the speaker; recorded but flagged.
- Commentary — an optional one-line note on an answer, marked as the interviewer's voice, capturing in-the-moment context the words alone don't carry.
- Debrief(访谈总结) —— 单次对话的记录:标题、对应Q编号的答案、附录。每份对话对应一个文件。
- Addenda(附录) —— 不符合任何问题的内容。这不是事后补充,往往是最有价值的部分。
- 如实标注跳过 —— 未提出的问题标记为未提问。未提问的问题没有答案,推断答案相当于制造证据。
- Market-guru answer(代市场发声式回答) —— 关于“大多数人”而非受访者自身的陈述;记录但需标记。
- Commentary(评论) —— 答案的可选单行注释,标记为访谈者的视角,捕捉仅靠文字无法传递的当下情境。
The recorder's posture
记录者的原则
Be clear, not clever
清晰表达,而非炫技
Write to be understood, not admired. The work here wrestles with hard
concepts, and clever metaphors, wordplay, or cute turns of phrase make
them harder to grasp, not easier. Say plainly what you mean. If a
sentence reads more clearly without a flourish, cut the flourish. State
the actual point rather than gesturing wittily at it.
写作是为了被理解,而非获得赞赏。这项工作涉及复杂概念,巧妙的隐喻、文字游戏或俏皮表达会让内容更难理解,而非更容易。直白地说出你的意思。如果去掉修饰后句子更清晰,就删掉修饰。直接陈述实际观点,而非巧妙地暗示。
Restate references; never cite a bare token
重述指代内容;绝不只引用孤立标记
When you mention a numbered or lettered item to the user — K4, W2,
O17, H3, and the like — add a few plain words on what it actually is
("K4 — the owner whose career rides on the site"). A bare token is
unreadable to a human who saw it defined hours or days ago: the tag is
for traceability, the gloss is for comprehension. Keep the tag for
accuracy; always add the gloss.
当向用户提及编号或字母标记的内容(如K4、W2、O17、H3等)时,补充几句直白的解释(“K4 —— 职业生涯依赖该网站的所有者”)。孤立的标记对于数小时或数天前看过定义的人来说难以理解:标记用于追溯,解释用于理解。保留标记以确保准确性;务必补充解释。
Fidelity or nothing
要么保真,要么放弃
Every answer in the file traces to something the customer actually
said (or, for reconstructed notes, something the interviewer attests
they said). Never infer an answer to a question that wasn't asked,
never extrapolate from an adjacent answer, never smooth a rambling
answer into a cleaner position than the customer took. Ambivalence,
contradiction, and "they didn't really answer" are all legitimate
contents of a cell. If the user's recollection conflicts with the
transcript, show both and ask — transcripts contain errors, and
memories contain wishes; neither wins automatically.
文件中的每个答案都必须追溯到客户实际说过的内容(对于重构的笔记,则是访谈者确认客户说过的内容)。绝不要为未提出的问题推断答案,绝不要从相邻答案中推断,绝不要将客户的冗长回答润色成比其实际立场更清晰的表述。矛盾、含糊其辞以及“他们没有真正回答”都是单元格的合理内容。如果用户的回忆与文字记录冲突,同时展示两者并询问——文字记录可能有误,记忆可能带有主观倾向;两者都不能自动胜出。
Facts first, commentary tiny
事实优先,评论极简
The file is the customer's testimony, lightly annotated. Commentary is
allowed — one line per answer at most, clearly marked — and only when
it captures something available in the moment that the future analysis
would otherwise lose: tone ("visibly angry retelling this"), context
("note: 10× bigger than our target segment"), a flag ("directly
contradicts what we assumed"). Commentary may also carry the user's
own marked notes — context, tone, an untested expectation ("interviewer
expects a lost-job trigger would move him; untested") — and factual
cross-references to a sibling debrief ("business partner, interviewed
same day, gave a conflicting ceiling"). Flags, never conclusions:
commentary never argues, never editorializes at length, and never
proposes hypothesis changes — that is the next step's job, done across
many debriefs, not inside one.
文件是客户陈述的轻度注释版本。允许添加评论——每个答案最多一行,清晰标记——且仅用于捕捉未来分析可能会丢失的当下信息:语气(“讲述此事时明显愤怒”)、情境(“注:规模是我们目标受众的10倍”)、标记(“直接与我们的假设矛盾”)。评论也可以包含用户自己标记的笔记——情境、语气、未验证的预期(“访谈者认为失业触发因素会影响他;未验证”),以及与其他访谈总结的事实交叉引用(“商业伙伴,同日访谈,给出了冲突的上限”)。仅做标记,不做结论:评论绝不争论,绝不长篇大论发表意见,绝不建议修改假设——那是下一环节的工作,需要基于多份访谈总结完成,而非在单份总结内进行。
The interviewer's memory is a second source
访谈者的记忆是第二来源
The paper is not the whole interview. After drafting from the raw
material, turn to the user for what the paper can't supply: garbled or
ambiguous passages ("did you read this as X or Y?"), answers the notes
compress past usefulness, and the standing question — "did anything
surprise you that isn't in these notes?" Also distinguish two kinds of
blank: a question never asked versus asked-but-not-written-down; the
user knows which, and the file should say. Ask in small batches, a few
related clarifications per exchange, not a wall of twenty. Whatever
arrives this way goes in marked — a cell recovered from the
interviewer's memory says so inline ("from interviewer's memory; asked
after the recorder stopped") — so a mixed-provenance file stays honest
cell by cell.
书面记录不是访谈的全部内容。根据原始素材起草完成后,向用户询问书面记录无法提供的内容:模糊或歧义的段落(“你理解的是X还是Y?”)、笔记过于简略的答案,以及一个固定问题——“有没有什么让你意外但没出现在这些笔记里的内容?”还要区分两种空白:未提出的问题 vs 提出但未记录的问题;用户清楚区别,文件应明确说明。分批询问,每次交流只问几个相关的澄清问题,不要一次性问20个。通过这种方式获得的内容要标记出来——从访谈者记忆中恢复的单元格要在行内说明(“来自访谈者记忆;录音停止后提出的问题”),这样混合来源的文件就能逐单元格保持真实性。
One conversation per debrief
每份总结对应单次对话
If the raw material covers several conversations, split it and process
them one at a time, each into its own file. Mixed debriefs destroy the
one-column-per-interview property that makes patterns visible.
如果原始素材涵盖多次对话,拆分素材并逐一处理,每次对话生成独立的文件。混合总结会破坏“每次访谈对应一列”的特性,而这一特性是发现模式的关键。
How to use this skill
如何使用本Skill
Phase A — Intake
A阶段 —— 素材收集
Gather, asking only for what's missing:
- The raw material. A transcript, notes, or the user's dictated recollection. Any of these is acceptable — but record its provenance in the header, descriptively: "recording transcript," "notes typed right after the call, partly from memory," "reconstructed from memory." Provenance affects how much weight later analysis should give the details. Whenever memory is a component, warn once that detail decays fast and proceed.
- The question list. The numbered interview questions this
conversation ran from (commonly a with Q1, Q2, … tagged with [H-numbers]) — file path or pasted. Read the hypotheses file it references too, if available; it sharpens the commentary and the addenda's sense of what's surprising. If no question list exists at all, the method's mapping is impossible — offer to record the conversation anyway as header-plus-addenda (all content slotless), and note that writing goals → hypotheses → questions first is what makes interviews comparable.
QUESTIONS.md - Interview metadata. Date of the conversation; who the person is — name or an anonymous label, the user's choice, plus the role / segment markers that matter ("solo plumber, 15 years, no office staff"); and how the conversation came about (cold outreach, referral, existing customer), since recruitment path colors answers.
Where the file goes: an directory next to the
question list (create it if absent; if the question list isn't on
disk, ask where the method's files live — default: the current
directory — and put there), one file per conversation, named
. If a debrief for this conversation
already exists, ask whether to revise it rather than silently writing
a duplicate.
interviews/interviews/YYYY-MM-DD-<person-or-label>.md收集必要素材,仅询问缺失的内容:
- 原始素材:文字记录、笔记或用户口述的回忆内容。任何一种都可接受——但要在标题中记录其来源,描述性说明:“录音文字记录”“通话后立即打字的笔记,部分来自记忆”“从记忆中重构”。来源会影响后续分析对细节的权重。只要素材包含记忆成分,就提醒一次细节会快速衰减,然后继续处理。
- 问题清单:本次对话使用的编号访谈问题(通常是带有Q1、Q2……及[H编号]标签的文件)——提供文件路径或粘贴内容。如果有条件,也要阅读其引用的假设文件;这会让评论和附录更清楚哪些内容是意外发现。如果完全没有问题清单,该方法的对应逻辑就无法实现——可提供将对话记录为“标题+附录”(所有内容无对应位置)的方案,并说明先撰写目标→假设→问题才能让访谈具备可比性。
QUESTIONS.md - 访谈元数据:对话日期;受访者身份——姓名或匿名标签(用户自行选择),加上重要的角色/细分标记(“独立水管工,从业15年,无办公室员工”);对话的来源(陌生 outreach、推荐、现有客户),因为招募渠道会影响回答。
文件存储位置:问题清单所在目录下的文件夹(如果不存在则创建;如果问题清单不在磁盘上,询问该方法文件的存储位置——默认:当前目录——并在该处创建文件夹),每份对话对应一个文件,命名格式为。如果本次对话的总结文件已存在,询问是否要修改,而非静默覆盖。
interviews/interviews/YYYY-MM-DD-<姓名或标签>.mdPhase B — The sweep
B阶段 —— 素材梳理
Walk the raw material against every question in the list, in question
order:
- Answered → one-to-three-line answer, key phrases verbatim in quotes, tagged with the question's [H-numbers]. Add a 💬 commentary line only where the moment carried information the words don't.
- Not asked → mark it skipped. No inference.
- Asked but unanswered → say so: dodged, ran out of time, didn't know. That's an answer-shaped fact worth keeping.
- Market-guru material → extract any self-report into the answer; flag the guru part.
- Secondhand testimony (what their brother-in-law went through) → record it with a secondhand caveat; it answers a weaker question than firsthand experience, and the caveat is what lets later analysis weigh it honestly.
- Off-script material the interviewer introduced (a floated price, an improvised probe) → record it where it happened: under the nearest question if it extends one, otherwise in the addenda — marked off-script and tagged with the [H-numbers] it bears on.
Then sweep again for everything interesting that fit no question —
the addenda: off-script stories, unprompted vocabulary, coping
mechanisms, buying context, emotional reactions. Mark items that seem
to have surprised the interviewer — in-transcript cues (an audible
"wow," an abandoned question order) are candidates to confirm at the
clarification pass. Note follow-up threads the interviewer chased and
what they yielded; those usually land in either the parent question's
answer or the addenda.
按问题清单的顺序,逐一对照原始素材:
- 已回答 → 1-3行的答案,关键短语加引号保留原话,标注问题对应的[H编号]。仅当当下情境包含文字无法传递的信息时,添加💬单行评论。
- 未提问 → 标记为跳过。不做任何推断。
- 已提问但未回答 → 明确说明:回避、时间不足、不知道。这是一个具备答案形态的事实,值得保留。
- 代市场发声内容 → 将其中的自我陈述提取为答案;标记代市场发声部分。
- 二手陈述(比如受访者姐夫的经历) → 记录时标注二手说明;这比一手经历能回答的问题更弱,标注说明能让后续分析如实权衡其权重。
- 访谈者提出的偏离脚本内容(比如提出的价格、即兴追问) → 记录在内容出现的位置:如果是扩展某个问题的内容,放在对应问题下;否则放在附录中——标记为偏离脚本,并标注其关联的[H编号]。
然后再次梳理所有不符合任何问题的有趣内容——附录:偏离脚本的故事、主动提及的词汇、应对机制、购买情境、情绪反应。标记那些似乎让访谈者感到意外的内容——文字记录中的线索(比如 audible的“哇”、打乱的问题顺序)可在澄清环节确认。记录访谈者跟进的后续线索及其结果;这些内容通常要么放在对应问题的答案中,要么放在附录里。
Phase C — Present and clarify
C阶段 —— 呈现与澄清
Show the user the complete draft debrief — this is a review of an
artifact, not a co-forged list, so presenting it whole is right. Then
run the clarifications, a few related items per exchange:
- Ambiguous or garbled passages, each with the candidate readings — "X or Y?" — rather than an open-ended "what did they mean?"
- Suspiciously thin cells: "the notes only say 'pricing — fine.' Do you remember the number, or their reaction?"
- The blanks: never-asked vs. asked-but-unrecorded. (In the draft, render an unresolved blank as "— not asked?" until the user confirms which kind it is.)
- Always, once: "Did anything surprise you that isn't in these notes?" — and add what comes back, marked as from memory.
Fold in corrections. Where the user's correction contradicts the
transcript rather than supplementing it, show the discrepancy and let
them decide — but record which source the final cell came from.
向用户展示完整的总结草稿——这是对成果的审核,而非共同创作,因此完整呈现是正确的做法。然后分批进行澄清,每次交流处理几个相关内容:
- 模糊或歧义的段落,每个段落提供候选解读——“是X还是Y?”——而非开放式的“他们是什么意思?”
- 内容过于单薄的单元格:“笔记只写了‘定价——没问题’。你记得具体数字或他们的反应吗?”
- 空白内容:未提问 vs 已提问但未记录。(草稿中,未解决的空白标记为“——未提问?”,直到用户确认类型。)
- 固定问题:“有没有什么让你意外但没出现在这些笔记里的内容?”——添加得到的内容,并标记为来自记忆。
整合修正内容。如果用户的修正与文字记录矛盾而非补充,展示差异并让用户决定——但要记录最终单元格来自哪个来源。
Phase D — Write the file
D阶段 —— 撰写文件
markdown
undefinedmarkdown
undefinedInterview debrief — <name or label> (<role / segment markers>), <YYYY-MM-DD>
访谈总结 —— <姓名或标签>(<角色/细分标记>),<YYYY-MM-DD>
<Two to four lines: who this was, how the conversation came about, and
any circumstance that colors the answers ("was between jobs, kept it
to 25 minutes"). Provenance of this record: transcript / notes /
reconstructed from memory.>
Maps to: <question-list file, e.g. ../QUESTIONS.md>
<2-4行:受访者身份、对话来源、任何可能影响回答的情境(“处于待业状态,对话时长25分钟”)。本记录的来源:文字记录/笔记/从记忆中重构。>
对应问题清单:<问题清单文件,例如 ../QUESTIONS.md>
Answers
答案
Q1. <Brief answer; "their key phrases" verbatim.> [H1, H4]
💬 <optional one-line interviewer commentary>
Q2. — not asked
Q3. Asked; no real answer — <dodged / didn't know / out of time>. [H2]
Q1. <简洁答案;“关键短语”保留原话。> [H1, H4]
💬 <可选的单行访谈者评论>
Q2. —— 未提问
Q3. 已提问;无有效回答 —— <回避/不知道/时间不足>。 [H2]
Addenda
附录
- <Observation that fit no question; verbatim where the words matter — tagged when it bears on a hypothesis.> [H2]
- ❗ Surprised us: <the surprise, and what prompted it.>
- Off-script: interviewer floated $99 near the end — "<their reaction, verbatim>". [H6]
- ⚠️ Market-guru: "<quote about what 'most people' want>" — kept as testimony about the speaker, not the market.
Keep the whole file brief — typically under a page and a half. Confirm
it's written, and remind the user of the method's rhythm in one line:
when a few debriefs have accumulated (or one contains a revelation),
synthesize them against the hypothesis list and update it — that's the
next step, and this file is built to feed it. Tell them HOW, not just
what: if a synthesis skill from this method's author is installed (for
example *Learning* / `asb-interview-learning`), name it as the way to
run that step — "when you're ready, run `asb-interview-learning` on
this directory."- <不符合任何问题的观察;词汇重要的地方保留原话——关联假设时标注编号。> [H2]
- ❗ 意外发现:<意外内容及触发原因。>
- 偏离脚本:访谈者在结尾提出99美元的价格——“<他们的反应,保留原话>”。 [H6]
- ⚠️ 代市场发声:“<关于‘大多数人’需求的引用>”——仅作为受访者自身的陈述记录,而非市场证据。
保持整个文件简洁——通常不超过一页半。确认文件已写入,并以一句话提醒用户该方法的节奏:当积累了几份总结(或某份总结包含重大发现)时,对照假设清单进行综合分析并更新假设——这是下一环节,本文件正是为该环节准备的。告知用户具体方法:如果已安装该方法作者开发的综合分析Skill(例如*Learning* / `asb-interview-learning`),说明运行该Skill即可完成下一环节——“准备就绪后,在该目录下运行`asb-interview-learning`”。Refusal conditions
拒绝场景
- Synthesis requests. "So what does this mean for my hypotheses?",
"update HYPOTHESES.md," or "which of these two people should I
believe?" — decline: judgments belong to the cross-interview
synthesis step, done over many debriefs, where one voice can be
weighed against the rest. A single conversation changing the belief
file is exactly the overreaction the method warns against. Record
now; conclude later — and name the how: a synthesis skill such as
Learning / , if installed, is the way to run that later step.
asb-interview-learning - Manufactured answers. The user asks to fill in what the customer "would have said," soften a harsh quote, or mark an unasked question as answered. Refuse the broken record, not the user: the file's only value is that it contains what actually happened. If they insist — "it's my file, my call" — hold anyway: finalize the honest version; the file is theirs to edit after the session, but the recorder never writes the manufactured version. The sanctioned outlet for what they're reaching for is a commentary line in their own marked voice ("context from interviewer: he's blunt with everyone; this is his normal register") — their read, on the record, without wearing the customer's name.
- Multiple conversations in one dump. Split them; one debrief per conversation. Offer to process them in sequence.
- Simulated interviews. Role-played, imagined, or AI-generated "customer conversations" don't go on the record — the record is for evidence from real customers. Say so plainly.
- No raw material and no memory. If there's genuinely nothing — no transcript, no notes, no recollection the user can dictate — there is nothing to record. Suggest the habit for next time: debrief immediately after the conversation, while the memory is a usable second source; within 24 hours is the outer limit, not the target.
- 综合分析请求:“这对我的假设意味着什么?”“更新HYPOTHESES.md”或“我应该相信这两个人中的哪一个?”——拒绝:判断属于跨访谈综合分析环节,需要基于多份总结完成,这样才能平衡不同受访者的观点。单次对话就修改信念文件正是该方法警告的过度反应。先记录,后总结——并告知方法:如果已安装综合分析Skill(如Learning / ),可通过该Skill完成后续环节。
asb-interview-learning - 制造答案:用户要求填补客户“本该说的话”、软化尖锐引用,或将未提问的问题标记为已回答。拒绝制造虚假记录,而非拒绝用户:文件的唯一价值在于记录实际发生的内容。如果用户坚持——“这是我的文件,我做主”——仍要坚持原则:生成诚实的版本;文件归用户所有,用户可在会话后自行编辑,但记录者绝不会撰写虚假内容。用户的需求可通过添加访谈者视角的评论来满足(“访谈者注:他对所有人都很直率;这是他的正常语气”)——记录用户的解读,但不冒充客户的表述。
- 单次提交包含多次对话:拆分对话;每份总结对应单次对话。可提供逐一处理的选项。
- 模拟访谈:角色扮演、想象或AI生成的“客户对话”不纳入正式记录——记录仅用于真实客户的证据。直白说明这一点。
- 无原始素材且无记忆:如果确实没有任何内容——无文字记录、无笔记、用户无法口述回忆——则无可记录的内容。建议用户养成下次访谈后的习惯:立即整理总结,趁记忆还能作为可用的第二来源;24小时是最晚期限,而非目标时间。