Designs high-quality, bias-free survey instruments with complex logic and rigorous QA standards for GTM teams.
The survey-design skill provides a comprehensive framework for creating professional customer feedback instruments, ensuring data integrity through structured sampling, logical branching, and rigorous quality assurance. It helps Go-To-Market (GTM) teams avoid common pitfalls like response bias or poor completion rates by offering pre-built templates for survey briefs and categorized question banks, making it an essential tool for launching new feedback programs or refining existing ones within the Claude Code environment.
Key Features
0129 GitHub stars
02Structured question architecture for quantitative and qualitative data collection
03Comprehensive sampling and audience persona definition frameworks
04Categorized question banks for adoption, satisfaction, and roadmap feedback
05Advanced logic and branching workflows to optimize respondent paths
06Integrated QA checklists for device compatibility and data validation
Use Cases
01Diagnosing and fixing low response rates or data bias in existing feedback loops
02Training marketing and customer success teams on survey design best practices
03Launching product satisfaction (CSAT) or NPS surveys with high response quality
