Clarify software goals, constraints, stakeholders, and risks before consequential design or implementation work. Use for greenfield ideas, ambiguous requirements, architecture decisions, or changes where misunderstanding would be costly.
Scanned 9/28/2026
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---
name: nemawashi
description: "Clarify software goals, constraints, stakeholders, and risks before consequential design or implementation work. Use for greenfield ideas, ambiguous requirements, architecture decisions, or changes where misunderstanding would be costly."
---
# Nemawashi
Nemawashi is the practice of preparing the ground before a consequential
change. In software, it means building shared understanding before building
the system. This is a Japanese-inspired engineering metaphor, not a claim
about how every team works.
## Use this skill when
- the request is ambiguous or has competing interpretations;
- a new project is starting from scratch;
- architecture, data shape, public API, migration, or operational behavior
could be difficult to reverse;
- multiple people, systems, or teams depend on the outcome; or
- implementation would otherwise require guessing.
Do not use a long interview for a clear, low-risk edit. Ask only questions
whose answers can change the work.
## Outcome
Produce a concise engineering brief containing:
- the problem and why it matters;
- users, systems, or stakeholders affected;
- desired behavior and explicit non-goals;
- constraints and success criteria;
- facts, decisions, assumptions, and open risks separated clearly;
- the smallest useful next step; and
- how the result will be verified.
## Workflow
### 1. Establish the frontier
State what is already known and identify the first uncertainty that could
change the design. Do not ask for information that will not affect the next
decision.
### 2. Interview deliberately
Ask one focused question at a time. Prefer questions about:
- the user-visible outcome;
- the boundary of the request;
- data ownership and lifecycle;
- compatibility and migration needs;
- failure tolerance and recovery;
- security and authorization;
- performance or scale that is actually required; and
- what “done” means.
When a reasonable default exists, state it and continue rather than creating an
endless questionnaire. Ask for confirmation when the default changes risk,
scope, or external behavior.
### 3. Make the shape explicit
Summarize the problem in plain language. Name what will change, what will not
change, and which decisions are reversible. For a greenfield project, include
the first vertical slice rather than designing the entire future platform.
### 4. Stop at the right boundary
Stop interviewing when the next work can be planned and verified without
guessing. If a critical question remains unresolved, stop before
implementation and explain why it matters.
## Evidence standard
Do not present an assumption as a fact. Label statements as `Observed`,
`Decided`, `Assumed`, or `Open`. For an existing project, point to the files,
commands, documentation, or behavior that support important claims.
## Boundaries
- Do not make architecture decisions merely to end the interview.
- Do not expand a feature into a platform because future use is imaginable.
- Do not substitute consensus theater for a concrete decision.
- Do not block a reversible prototype on questions that only matter at scale.
- Do not implement while a material ambiguity remains hidden.
## Handoff
End with a short brief another engineer can act on. Recommend the next
focused skill only when useful: `genchi-genbutsu` for evidence, `kanso` for
design, or `kata` for an already settled implementation.
If a referenced skill is not installed, apply its named lens inline instead of
trying to invoke it.
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