interview-storytelling

context: fork name: interview-storytelling description: "Structures long-form interview storytelling for expert interviews, internal feature stories, and multi-expert roundups. Applies 5W1H question matrix, 3-part answer arc, verbal signposting, NNGroup 4-dimension voice profile, and quote-approval workflow. Use when user asks about interview article, expert interview, feature story, storytelling, quote roundup, 인터뷰 기사, 전문가 인터뷰, 스토리텔링, 인용 모음, or 피처 스토리." platforms: [claude-code, gemini-cli, codex-cli, cursor] level: 3 triggers: - "interview article" - "expert interview" - "feature story" - "storytelling long-form" - "quote roundup" - "multi-expert article" - "인터뷰 기사" - "전문가 인터뷰" - "스토리텔링" - "인용 모음" - "피처 스토리" agents: - "content-marketer" - "doc-updater" tokens: "~4K" category: "marketing" depends_on: - copywriting suggests: - voice-reference - long-form-writing - ai-slop-reviewer

Interview Storytelling

When This Skill Applies

• Producing a long-form article based on one or more interviews with named experts
• Building an internal feature story about a team, program, or customer
• Aggregating 3-5 expert quotes into a single roundup piece
• Turning a podcast or webinar transcript into readable long-form content
• Any brief where human voice and attributable quotes are the primary source material

Core Guidance

1. 5W1H Question Matrix

Before the interview, draft at least two questions per dimension. The matrix forces coverage of the full story surface.

During the interview, let Why and How questions run long. Who, What, When, and Where questions collect facts for verification.

2. Three-Part Answer Arc

Each spoken answer and each written passage built from that answer follows the same structure.

When narrativizing, the arc applies at passage level. A 500-word section is three arcs stacked, not one long expansion.

3. Verbal Signposting

Signposts are short transition phrases that orient the reader between ideas. Use them sparingly; three to five per 1,000 words is a healthy density.

Avoid signposts that announce without delivering ("I want to talk about..."). Every signpost should be followed immediately by the content it points at.

4. NNGroup 4-Dimension Voice Profile

The Nielsen Norman Group defines brand voice along four independent axes. Each interview subject and each article section should place on the axes consciously, not by default.

Humor axis: A funny tone uses wordplay, surprise, and light self-deprecation. A serious tone does not. Funny sample: "We built the worst possible version first, on purpose." Serious sample: "The initial build was deliberately minimal."

Formality axis: Formal uses full terms, complete sentences, and few contractions. Casual uses contractions, sentence fragments, and colloquial phrasing. Formal sample: "The migration occurred over six weeks." Casual sample: "The migration took about six weeks, give or take."

Respect axis: Respectful avoids sarcasm and assumes the reader's good faith. Irreverent challenges the reader, pokes at sacred cows, may use mild provocation. Respectful sample: "Most teams underestimate the rollback plan." Irreverent sample: "Skip the rollback plan and you will learn humility quickly."

Enthusiasm axis: Enthusiastic uses emphatic word choices and exclamation-free excitement. Matter-of-fact uses neutral verbs and lets the data carry the weight. Enthusiastic sample: "The jump in retention floored us." Matter-of-fact sample: "Retention rose 14 points in the quarter."

5. Quote Approval Workflow

Three stages, each with a named artifact. Never skip stage 2.

Stage 2 email core: "Attached is my summary of our conversation and the quotes I plan to use. Please edit anything that misrepresents what you meant. Reply with 'approved' once the quotes are accurate. Silence is not approval."

Publish blockers — hold the piece until all three are true:

• Subject has seen the full summary, not just the quotes in isolation
• Every quote attributed to the subject has been edited or confirmed verbatim
• Public use on the named channels has explicit written consent

6. Multi-Expert Roundup Mode

When a single article pulls quotes from 3-5 named experts on one topic, the structure changes.

Expert block template:

### [Expert Name], [Title], [Company]

[25-40 word bio line establishing relevance to the question]

"[Direct quote, 40-80 words, edited for grammar with subject approval]"

[Writer's 30-60 word framing of why this quote matters in the context of the roundup]

7. Working From Transcripts

Output Format

INTERVIEW STORY PACKAGE
=======================
Title:          [article headline]
Mode:           [single-subject | multi-expert roundup]
Subjects:       [names and titles]
Word Count:     [target]
Voice profile:  [humor / formality / respect / enthusiasm placement]

QUESTION MATRIX
───────────────
| Dimension | Q#1 | Q#2 |
|-----------|-----|-----|
| Why       |     |     |
| Who       |     |     |
| What      |     |     |
| When      |     |     |
| Where     |     |     |
| How       |     |     |

APPROVAL STATUS
───────────────
| Subject | Stage 1 (transcript) | Stage 2 (summary sent) | Stage 3 (public-use consent) |
|---------|---------------------|------------------------|------------------------------|
| [name]  | [yes/no]            | [date]                 | [yes/no]                     |

VOICE PROFILE
─────────────
| Axis        | Placement         |
|-------------|-------------------|
| Humor       | Funny / Serious   |
| Formality   | Formal / Casual   |
| Respect     | Respectful / Irreverent |
| Enthusiasm  | Enthusiastic / Matter-of-fact |

Quick Reference

Question matrix: 2 questions per 5W1H dimension Answer arc: Hook (25-40w) -> Core (120-200w) -> Close (25-40w) Signposts: 3-5 per 1,000 words, always followed by content Voice axes: Humor, Formality, Respect, Enthusiasm (NNGroup 4-dim) Approval stages: Transcript -> Summary review -> Public-use consent Roundup: 3-5 experts, synthesis paragraph, surface disagreement Transcript cleanup: Silent for tics, disclosed in footer

References

• See ${CLAUDE_SKILL_DIR}/../copywriting/references/anti-ai-writing.md for voice-related slop patterns that flatten expert quotes