survey-designlisted

# survey-design Quantitative survey design for founders. Converts qualitative signals from user interviews into validated, statistically grounded survey instruments. Covers NPS, CSAT, CES, and PMF fit measurement using the Sean Ellis method. ## When to use this skill - You have qualitative interview findings and want to validate them at scale. - You need to measure customer satisfaction (CSAT), loyalty (NPS), or effort (CES). - You want to assess product-market fit with the Sean Ellis 40% threshold test. - You are designing a new survey from scratch and want question-battery guidance. - You need to determine how many responses you need for statistically valid results. ## When NOT to use this skill - You need qualitative research (use `customer-interview-synthesizer` instead). - You want to run a pricing experiment (use `pricing-experiment`). - You are looking for competitor intelligence (use `competitor-radar`). - Your audience is under 30 people — qualitative interviews give more signal at that scale. ## Inputs - **Research objective**: what hypothesis or question you are testing. - **Target population**: who will receive the survey (customers, prospects, churned users, etc.). - **Survey type**: NPS, CSAT, CES, PMF fit, or custom. - **Existing qualitative data** (optional): interview transcripts or synthesis from `customer-interview-synthesizer` to inform question framing. - **Distribution channel**: email, in-app, SMS, or link. - **Acceptable margin of error**: