A specialized skill designed to audit and rewrite customer interview questions to extract honest behavioral data instead of false validation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bookforge-conversation-question-designer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install bookforge-conversation-question-designer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Conversation Question Designer?
The Conversation Question Designer is an essential tool for founders, product managers, and researchers aiming to master the art of customer discovery. Based on the proven principles of The Mom Test by Rob Fitzpatrick, this skill ensures that your interviews focus on the customer's actual life and past behaviors rather than their hypothetical opinions about your product. By implementing these Openclaw Skills, developers and entrepreneurs can eliminate leading questions and compliment-fishing, resulting in data that is grounded in technical truth and market reality.
This skill acts as a technical consultant for your preparation phase, meticulously auditing existing question lists or building new scripts from scratch based on specific learning goals. It bridges the gap between a vague product idea and a structured, actionable discovery process that identifies must-solve problems before you write a single line of code.
Conversation Question Designer Use Cases
- Refining draft interview questions to remove bias and hypothetical phrasing.
- Building a comprehensive conversation script from a list of learning goals or assumptions.
- Correcting an interview approach after receiving unhelpful, vague, or overly positive feedback.
- Preparing for first-time customer discovery sessions for a new product or feature concept.
- Training team members on how to avoid pitching and start listening during discovery calls.
How Conversation Question Designer Works
- Context Analysis: The skill begins by gathering information about the product idea, target customer segment, and specific learning goals.
- Goal Extraction: It identifies the three most critical facts or behaviors the user needs to discover to validate their assumptions.
- Question Auditing: Existing questions are evaluated against three core rules: focusing on the customer's life, anchoring in specific past events, and promoting open-ended listening.
- Script Generation: A structured Markdown script is generated, organizing questions from broad openers to deep, behavior-focused inquiries and commitment signals.
- Bias Safeguarding: The skill adds specific 'WATCH OUT' warnings to help the interviewer identify and pivot away from compliment-fishing or premature pitching during the conversation.
Conversation Question Designer Setup
To utilize this skill, ensure your AI agent has read and write access to your project directory. You can provide your product context directly in the prompt or via a document.
# Recommended file structure for best results
touch product-idea.md
touch learning-goals.md
Once the context is provided, the agent will generate a comprehensive script using these Openclaw Skills and save it to your workspace for immediate use.
Conversation Question Designer Data Schema & Taxonomy
The skill produces a structured deliverable, typically saved as question-script.md, using the following data taxonomy:
| Component | Detail |
|---|---|
| Context | Defines the product area, problem space, and target customer segment. |
| Learning Goals | A numbered list of 1-3 behavioral facts to be discovered. |
| Question Script | A tiered list of Opener, Depth, and Commitment questions per goal. |
| Bias Safeguards | A quick-reference table for identifying and recovering from conversational traps. |
| Audit Results | A side-by-side comparison of original (failed) questions and their rewritten (passing) versions. |
Conversation Question Designer Advanced Features
- Multi-rule auditing based on the 14-point question quality rubric.
- Automated commitment-signal generation to test real customer pain versus stated interest.
- Real-time bias recovery mapping for common scenarios like compliment fishing and feature requests.
- Seamless integration with other Openclaw Skills for a full discovery-to-analysis workflow.
- Dynamic script scaling based on the seniority of the customer segment (e.g., small business vs. enterprise CTO).
SKILL.md
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