Interactive Requirements Gathering

Interactive Requirements Gathering

Structured framework for gathering requirements through interactive questionnaires. Based on the Conductor methodology's proven human-in-the-loop patterns.

When to Use

• Setting up new projects
• Defining product requirements
• Gathering feature specifications
• Onboarding users to new workflows
• Any task requiring structured user input

Core Principles

1. Question Classification

Before asking ANY question, classify its type:

2. Question Structure

All questions MUST follow this structure:

[Question text]

A) [Option A - often recommended, marked with "(Recommended)"]
B) [Option B]
C) [Option C]
D) Type your own answer
E) Auto-generate and continue

3. Sequential Questioning

CRITICAL: Ask ONE question at a time. Wait for response before next question.

CORRECT:
1. Ask Question 1
2. Wait for response
3. Confirm understanding
4. Ask Question 2

INCORRECT:
1. Ask Questions 1, 2, and 3 together

Questionnaire Workflow

Step 1: Introduction

Announce the section you're working on:

"I'll now help you define [section name]. I'll ask a few questions to understand your needs."

Step 2: Sequential Questions

For each question:

1. Classify: Is this Additive or Exclusive? 2. Formulate: Create clear question with options 3. Present: Show options in A/B/C/D/E format 4. Wait: Do NOT proceed without response 5. Confirm: Summarize understanding before continuing

Step 3: Handle Special Options

Option D (Type your own):

• Accept user's custom input
• Confirm the custom response
• Continue to next question

Option E (Auto-generate):

• Stop asking questions for this section
• Use best judgment based on previous answers
• Generate content and present for review

Step 4: Generate Content

CRITICAL: Use ONLY the user's selected answers as source of truth.

CORRECT:
- User selected "OAuth 2.0" -> Generate OAuth implementation details

INCORRECT:
- Include Option A, B, C text that wasn't selected
- Include question text in generated content

Step 5: User Confirmation Loop

After generating content:

"I've drafted [document name]. Please review:"

[Content preview]

What would you like to do?
A) Approve - proceed to next step
B) Suggest Changes - tell me what to modify

Please respond with A or B.

Loop until approved or user provides alternative direction.

Question Patterns

Product Vision Questions (Additive)

What are the primary goals of this product? (Select all that apply)

A) Improve user productivity
B) Reduce operational costs
C) Enhance customer experience
D) Type your own answer
E) Auto-generate and continue

Technology Selection Questions (Exclusive)

Which database should we use?

A) PostgreSQL (Recommended) - Best for relational data with complex queries
B) MongoDB - Document store for flexible schemas
C) SQLite - Lightweight for small applications
D) Type your own answer
E) Auto-generate and continue

Feature Scoping Questions (Additive)

Which authentication methods should be supported? (Select all that apply)

A) Email/Password
B) OAuth (Google, GitHub)
C) Magic Links
D) Type your own answer
E) Auto-generate and continue

Integration with AskUserQuestion Tool

When using the AskUserQuestion tool, map to this framework:

AskUserQuestion({
  questions: [
    {
      header: 'Database',
      question: 'Which database should we use?',
      multiSelect: false, // Exclusive question
      options: [
        { label: 'PostgreSQL (Recommended)', description: 'Best for relational data' },
        { label: 'MongoDB', description: 'Document store for flexible schemas' },
        { label: 'SQLite', description: 'Lightweight for small apps' },
      ],
    },
  ],
});

State Persistence

For multi-step questionnaires, save progress:

{
  "last_successful_step": "2.1_product_guide",
  "answers": {
    "product_type": "SaaS",
    "target_users": ["developers", "teams"]
  }
}

This enables resuming interrupted workflows.

Example Session

AGENT: "I'll help you define the product vision. First question:"

"Who are the primary users of this product?"

A) Developers
B) Business users
C) End consumers
D) Type your own answer
E) Auto-generate and continue

USER: A, B

AGENT: "Got it - targeting developers and business users. Next question:"

"What problem does this product solve?"

A) Streamlines workflows
B) Reduces manual work
C) Improves collaboration
D) Type your own answer
E) Auto-generate and continue

USER: D - "Automates code review feedback"

AGENT: "Understood - the product automates code review feedback for developers and business users. Let me generate the product vision..."

Anti-Patterns

Do NOT

• Ask multiple questions at once
• Include unselected options in generated content
• Skip confirmation steps
• Assume answers without asking
• Use technical jargon in options without explanation

Do

• One question at a time
• Clear, concise option descriptions
• Summarize understanding frequently
• Include escape hatches (D, E options)
• Respect user's custom inputs

Iron Laws

1. ALWAYS ask exactly one question at a time and wait for a response before asking the next — presenting multiple questions simultaneously overwhelms users, produces ambiguous answers, and breaks the sequential state machine. 2. NEVER use unselected option text in generated content — generated output must be built from the user's actual selected answers, not from the full list of options presented. 3. ALWAYS classify each question as Additive (multi-select) or Exclusive (single choice) before asking — misclassification produces contradictory answers (user selects "B and D" when only one was valid). 4. NEVER skip the confirmation step after generating content — presenting content without approval ignores refinements the user needed; always loop until the user explicitly approves. 5. ALWAYS include a "Type your own" escape hatch option in every question — constrained option sets fail when the user's context doesn't fit any presented option; custom input prevents stalled workflows.

Anti-Patterns

Related Skills

• project-onboarding - Use this framework during project setup
• context-driven-development - Generate context artifacts from answers
• brainstorming - Alternative for open-ended exploration

Memory Protocol (MANDATORY)

Before starting: Read .claude/context/memory/learnings.md

After completing:

• New pattern discovered -> .claude/context/memory/learnings.md
• Issue encountered -> .claude/context/memory/issues.md
• Decision made -> .claude/context/memory/decisions.md

ASSUME INTERRUPTION: If it's not in memory, it didn't happen.

Invoke the interactive-requirements-gathering skill and follow it exactly as presented to you

interactive-requirements-gathering Research Requirements

Generated: 2026-02-28

Skill Description

Structured interactive questionnaire framework for gathering requirements from users. Uses A/B/C/D/E multiple choice patterns with additive vs exclusive question classification.

Research Areas

• Current best practices for interactive-requirements-gathering
• Industry standards and tooling
• Integration patterns

Source References

• To be populated by skill-updater research phase

interactive-requirements-gathering Rules

Purpose

Structured interactive questionnaire framework for gathering requirements from users. Uses A/B/C/D/E multiple choice patterns with additive vs exclusive question classification.

Best Practices

• Ask questions one at a time, never multiple at once
• Classify each question as Additive or Exclusive before asking
• Always include "Type your own" and "Auto-generate" options
• Confirm understanding before moving to next question
• Use gathered answers (not options) as source of truth for generation

Integration Points

See SKILL.md for complete documentation.

interactive-requirements-gathering Implementation Template

Goal

• Define target outcome and acceptance criteria.

TDD

1. Red 2. Green 3. Refactor

Verification

• lint
• format
• targeted tests