customer-learning-notes
Turn customer conversation notes, interview transcripts, call summaries, CRM snippets, or research notes into shared team learning and next question…
它会碰到什么
这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。
技能内容
Customer Learning Notes
Use this skill after customer conversations to turn raw notes into team-readable
evidence. Good notes make it harder to misremember, overfit, or let one founder
become the sole source of customer truth.
Source Traceability
Primary source: The Mom Test by Rob Fitzpatrick, especially chapter 8 and the
conclusion. Guidance is paraphrased for this MIT repo; authoring notes used
converted EPUB lines 3613-4445.
Signal Taxonomy
Use these labels when synthesizing notes:
| Label | Meaning |
|-------|---------|
| Pain | Problem, obstacle, annoyance, risk, or cost |
| Goal | Desired outcome, job to be done, or priority |
| Workaround | Current manual process, tool stack, hack, or substitute |
| Money | Budget, cost, value, purchase process, or decision owner |
| Person | Specific stakeholder, competitor, team, buyer, or intro lead |
| Feature | Request, buying criterion, integration need, or implementation clue |
| Emotion | Strong excitement, anger, embarrassment, fear, or skepticism |
| Follow-up | Promise, task, intro, research item, or next step |
Synthesis Workflow
- Preserve concrete facts separately from interpretation.
- Pull out short, useful quotes only when they are needed for traceability,
positioning, or internal alignment.
- Tag signals using the taxonomy above.
- Group evidence by segment, problem, workaround, budget, and commitment.
- Identify contradictions and mixed-segment noise.
- Update beliefs, risks, and the next three questions.
- Recommend whether to continue, narrow the segment, ask for commitments, or
move to building/testing.
Confidence Levels
| Level | Use When |
|-------|----------|
| High | Repeated behavior from a focused segment, with concrete cost or commitment. |
| Medium | Specific evidence from a few good-fit conversations. |
| Low | One-off quotes, mixed segments, opinions, or weakly anchored claims. |
Output Format
# Customer Learning Synthesis
## Source Notes
- Conversations:
- Segment:
- Date range:
## Evidence
| Signal | Evidence | Segment | Confidence | Implication |
|--------|----------|---------|------------|-------------|
## Belief Updates
- Stronger / weaker / new / rejected:
## Decisions
- Product, segment, positioning, sales or access:
## Next 3 Questions
1. [Question]
2. [Question]
3. [Question]
Workflow
Use workflows/synthesize-conversation-notes.md when the user provides raw
notes, transcripts, call summaries, or interview excerpts.
Quality Bar
- Do not summarize notes into vibes.
- Do not let one loud quote outweigh repeated behavior from a focused segment.
- Do not mix segments without labeling them.
- Do not treat notes as useful until they have been reviewed and turned into
updated beliefs or decisions.
想直接用这个技能?
本站把开放许可(MIT / Apache 等)的技能按仓库打包整理到网盘,点一下转存到你自己的网盘,不用一个个从 GitHub 拉。许可未声明的技能只给原始仓库链接,不打包。
它属于哪个仓库
plugins/LVTD-LLC/skills/skills/customer-learning-notes/SKILL.md