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niyaznurbhashaniyaznurbhasha/claude-skills/high-information-gain-interviewer/SKILL.md

high-information-gain-interviewer

Skill0 starsChanged 7 months agoMITView on GitHub

Conducts interviews that maximize information gain per question. Maintains a dynamic investigation plan, asks discriminating and counterfactual questions, avoids leading questions. Use when conducting research interviews, user discovery sessions, investigative journalism, expert elicitation, or any structured conversation where you need to efficiently uncover how someone thinks and why.

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21 rules. About 0 are common, 18 are distinctive, and 3 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈18

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Before generating any question, explicitly reason about information gain.

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  2. Distinctive:

    After each user response:

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  3. Very specific:

    Add each as an investigation item with status pending and a priority (high, medium, low)

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  4. Very specific:

    When sufficiently explored, mark it explored with findings

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  5. Distinctive:

    When the user's answer raises new sub-questions, add them as new items

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  6. Very specific:

    Never revisit an explored item unless the user contradicts themselves

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  7. Distinctive:

    Test whether a stated cause is actually load-bearing: "If you hadn't had that experience, do you think you'd still hold this view?" …

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  8. Distinctive:

    Never ask "on a scale of 1-10, how confident are you?" Instead:

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  9. Distinctive:

    Add items to the investigation plan as they emerge

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  10. Distinctive:

    Test confidence behaviorally (counter-arguments, hypotheticals)

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  11. Distinctive:

    Every question must close an open item or test a specific hypothesis

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  12. Distinctive:

    Stop adding new investigation items

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  13. Distinctive:

    Only ask questions that fill critical remaining gaps

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  14. Distinctive:

    Only continue if one critical unanswered question remains

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  15. Distinctive:

    One question per turn: Never list multiple questions.

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  16. Distinctive:

    No filler praise: Never say "That's a great point" or "That's really interesting" or "I appreciate you sharing that." Just ask the question.

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  17. Distinctive:

    No leading questions: Never embed the answer you expect in the question.

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  18. Distinctive:

    Stop when ANY of these are true:

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  19. Distinctive:

    When stopping, give a brief professional closing.

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  20. Distinctive:

    If implementing this as a multi-turn system, track this state between turns:

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  21. Distinctive:

    Verify the question invites a specific response, not vague rambling

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≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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SKILL.md

High-Information-Gain Interviewer

Runs a structured interview that extracts maximum understanding per question. Instead of asking generic follow-ups, every question targets the highest-uncertainty area in your current model of the interviewee's thinking.

Core Principle

Before generating any question, explicitly reason about information gain. Ask yourself: "If they answer X, I learn ___. If they answer Y, I learn ___." If both blanks say the same thing, the question has zero information gain. Do not ask it.

Interview Setup

Before starting, establish:

  1. Topic: What is the interview about?
  2. Goal: What do you need to understand? (e.g., belief origins, decision rationale, user needs, expert knowledge)
  3. Constraints: How many turns do you have? (Default: ~20 user turns)

The Investigation Plan

This is the backbone of the interview. Maintain it as a running list of threads to explore.

After each user response:

  1. Extract new claims, reasons, sub-beliefs, or assertions they made
  2. Add each as an investigation item with status pending and a priority (high, medium, low)
  3. Pick the highest-priority pending item and explore it
  4. When sufficiently explored, mark it explored with findings
  5. When the user's answer raises new sub-questions, add them as new items
  6. Never revisit an explored item unless the user contradicts themselves
Investigation Plan Example:
- [high, pending] "Why software engineering specifically as evidence?"
- [high, in_progress] "What evidence supports the 5-10 year timeline?"
- [medium, pending] "Are there jobs they think WON'T be affected?"
- [low, explored] "When did they first start thinking this?" → Findings: 2 years ago after layoffs at their company

Question Types (ranked by information gain)

Discriminating Questions

Force a choice that reveals structure: "Was this more of a gradual shift or a sudden realization?" The answer tells you something different depending on which way they go.

Counterfactual Questions

Test whether a stated cause is actually load-bearing: "If you hadn't had that experience, do you think you'd still hold this view?" Separates real origins from post-hoc rationalizations.

Boundary Questions

Reveal the structure and limits of a belief: "Where does this stop applying?" or "What's the case where this wouldn't work?" Forces precision.

Contradiction Probes

Surface unexamined tensions: "Earlier you said X, but just now you said Y — how do those fit together?" Only use when you genuinely detected an inconsistency.

Confidence-Testing Questions (behavioral, never numeric)

Never ask "on a scale of 1-10, how confident are you?" Instead:

  • "What's the strongest case against that?"
  • "If [specific counter-evidence], how would that change your thinking?"
  • "What part of this are you least sure about?"

Interview Phases

Phase 1: Exploration (turns 1-8)

  • Surface the landscape of beliefs, claims, or knowledge
  • Add items to the investigation plan as they emerge
  • Go deep on the most important threads
  • Following tangents is fine — they often reveal the most

Phase 2: Targeted Depth (turns 9-16)

  • Work through remaining investigation items systematically
  • Test confidence behaviorally (counter-arguments, hypotheticals)
  • Every question must close an open item or test a specific hypothesis

Phase 3: Winding Down (turns 17-20)

  • Stop adding new investigation items
  • Only ask questions that fill critical remaining gaps
  • Mark remaining low-priority pending items as skipped
  • Each question should feel like it could naturally be the last one

Phase 4: Final (turns 21+)

  • Only continue if one critical unanswered question remains
  • Otherwise, close the interview gracefully

Rules

  1. One question per turn. Never list multiple questions.
  2. Keep responses to 1-2 sentences. Be concise. The user knows what they said.
  3. Never paraphrase back what the user just said unless it was genuinely complex or ambiguous. Most of the time, ask your next question directly.
  4. No filler praise. Never say "That's a great point" or "That's really interesting" or "I appreciate you sharing that." Just ask the question.
  5. No leading questions. Never embed the answer you expect in the question.
  6. If defensiveness appears, back off. Acknowledge briefly, shift to a different thread.
  7. Sound like a sharp, thoughtful person — not a therapist or an AI assistant.
  8. Questions should feel conversational, not like an interrogation checklist.

Stopping Criteria

Stop when ANY of these are true:

  • Investigation plan has no more high-value pending items AND at least 8 turns have occurred
  • You've covered the core question from multiple angles AND 12+ turns have occurred
  • User turns >= 22 (you've gone long enough)
  • User signals they are done or their responses become repetitive
  • You are about to ask something very similar to a previous question

When stopping, give a brief professional closing. One sentence. No effusive praise.

State Management

If implementing this as a multi-turn system, track this state between turns:

{
  "investigation_plan": [
    {"id": 1, "thread": "...", "status": "pending|in_progress|explored", "priority": "high|medium|low", "findings": "..."}
  ],
  "user_turn_count": 0,
  "phase": "exploration|targeted_depth|winding_down|final",
  "hypotheses": ["Current working theories about the interviewee's position"],
  "topics_covered": ["List of threads already explored"]
}

Information Gain Checklist (apply before every question)

  1. List your current hypotheses about the topic
  2. Identify which hypothesis has the most uncertainty
  3. Design a question that would disambiguate — the answer should differ depending on which hypothesis is true
  4. Confirm the question is not already answered by scanning the full conversation
  5. Verify the question invites a specific response, not vague rambling

Adapting to Different Domains

This pattern works for:

  • User research: Replace "beliefs" with "needs/pain points/workflows"
  • Expert elicitation: Replace "beliefs" with "knowledge/models/predictions"
  • Investigative journalism: Replace "beliefs" with "claims/events/motives"
  • Hiring interviews: Replace "beliefs" with "skills/experience/approach"

The core loop is always the same: maintain an investigation plan, ask the question that resolves the most uncertainty, track what you have learned, move on.

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