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Customer Interview Bias Signal Extractor
Separate participant evidence from leading questions and researcher interpretation in customer interviews.
$1
About this skill
Separate participant evidence from leading questions and researcher interpretation in customer interviews.
What it checks:
- detect leading and loaded prompts
- quote unsolicited behavior evidence
- cluster counterexamples
- quantify support without treating mentions as votes
Deliverables:
- bias-annotated evidence table
- validated insights
- next-round neutral questions
Typical case: Interviewer asks 'Wouldn't auto-renewal be helpful?' and eight users answer yes, but none described using it.
Runtime: Claude Skill
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Agents & Orchestration.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
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- 3
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