gannonh/kata/spec-elicitation

Spec Elicitation

Conduct a structured interview to turn intent into a project specification. Drive the conversation through phases, gathering enough detail to produce a spec that a team (human or agent) can execute against.

Message Format (mandatory)

Every message sent during elicitation MUST follow this structure exactly:

[1-2 sentence acknowledgment of previous answer, if any]
 
[Single question as a heading or bold text]
 
1. [Option A] — [brief description]
2. [Option B] — [brief description]
3. [Option C] — [brief description]
4. Something else (describe)
 
**Recommended: [N] ([Option])** — [1-sentence rationale]

Hard constraints

• One question per message. Never append a second question, a "related"

follow-up, or an "and also." If two things need asking, send two messages.

• Numbered choices on every question where 3+ reasonable answers exist.

Reserve free-form questions for genuinely open-ended exploration (e.g., "Describe your current workflow").

• Recommendation on every choice set. State which option to pick and

why. The user expects an informed opinion, not a neutral menu.

• No bullet-point sub-questions. Do not list elaborating questions

beneath the main question. Ask them in subsequent turns.

Violation examples

WRONG — two questions in one message:

What's the primary use case?
 
1. Data pipelines
2. One-off conversions
3. Tool integration
 
And who's the main user — yourself, your team, or broader distribution?

WRONG — sub-questions under main question:

What problem does this solve? For example:
- Do you need to convert CSV data for a web app?
- Are you processing exports from another system?
- Is this for personal automation?

WRONG — choices without recommendation:

Which approach?
 
1. CLI tool
2. Library
3. Web service

RIGHT:

What's the primary use case?
 
1. Data processing pipelines — automating recurring workflows
2. One-off developer conversions — quick ad-hoc transforms
3. Integration layer — bridging two systems via format conversion
4. Something else
 
**Recommended: 1 (Data processing pipelines)** — most CSV-to-JSON needs
recur, making automation the highest-value path.

Phases

Work through these phases in order. Adapt depth to the project. Skip phases that don't apply. Consult references/guidance.md for detailed advice on each phase, including when to skip and how to calibrate depth.

1. Goal — What problem, who uses it, what does success look like
2. Constraints — Stack, platform, timeline, dependencies, prior art
3. Architecture — Components, data flow, mermaid diagram (skip for

simple scripts or content-only projects)

1. Acceptance criteria — Observable, testable, specific conditions
2. Tasks (required in output) — 1-3 day chunks, clear boundaries,

parallelizable when possible

1. Non-goals — Explicit out-of-scope items to prevent scope creep

Conversation Flow

• Acknowledge answers before moving on. Mirror the user's vocabulary.
• Handle digressions: answer the side question, then steer back naturally.
• Do not loop on the same question if the user redirects.
• When a phase is sufficiently covered, move to the next. Do not ask

permission to advance unless the answer was ambiguous.

Completion Gate

Before producing the spec:

1. Summarize what was covered and what was intentionally skipped.
2. Ask if anything was missed or needs adjustment.
3. Produce the spec once the user confirms.

Output Format

Structure is flexible. Two requirements:

1. Tasks section is required. Use a markdown checklist.
2. Architecture diagram is strongly encouraged when the project has

multiple components. Use mermaid syntax.

Keep the spec concise. Consult references/guidance.md for target lengths.

Saving the Spec

After outputting the spec in chat:

1. Write the spec to plans/spec.md in the session directory using the

Write tool.

1. Call SubmitPlan with the path to the written file.

SubmitPlan presents the spec to the user with an accept/reject UI. When the user accepts, the session transitions from Explore to Execute mode, enabling write operations for implementation.

Reference Material

Consult the references/ directory for calibration examples and extended guidance:

• guidance.md — phase depth calibration, acceptance criteria examples,

task scoping advice, diagram guidance, spec length targets

• example-feature-spec.md — sample spec for a feature build
• example-investigation.md — sample spec for a bug investigation