survey-design

Design quantitative surveys with sample size and scoring guidance.

6|1|Updated May 13, 2026
One-click install
npx skills add https://github.com/Xipher-Labs/walter-os --skill survey-design-xipher-labs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: survey-design
Source: https://github.com/Xipher-Labs/walter-os/tree/main/skills/survey-design
Command: npx skills add https://github.com/Xipher-Labs/walter-os --skill survey-design-xipher-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you transform qualitative interview signals into quantitative survey instruments so you can validate assumptions with measurable, statistically grounded results.

Core Features & Use Cases

  • Question battery design: creates ordered NPS, CSAT, CES, PMF-fit, or custom survey question sets (with Likert anchoring and phrasing guidance) based on your research objective and target population.
  • Sample size guidance: recommends response targets using the Cochran formula at 95% confidence (including a margin-of-error table and finite-population considerations).
  • Field-ready distribution strategy: provides channel-specific playbooks, expected response-rate guidance, reminder cadence, and response-rate boost techniques.
  • Interpretable scoring rubric: defines how to interpret results, including the Sean Ellis 40% PMF-fit threshold and NPS/CSAT/CES scoring.

Quick Start

Tell the AI your research objective, target population size, survey type (e.g., PMF fit or CSAT), distribution channel, and desired margin of error, and it will produce a complete question battery plus sample-size and scoring guidance.

Frequently Asked Questions about survey-design

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a survey to validate qualitative interview findings?

Design a quantitative survey by specifying ordered question batteries with Likert anchoring and phrasing guidance. This transforms qualitative signals into validated instruments, producing 5–15 questions tailored to your research objective and target population for measurable statistical grounding.

What sample size do I need for a statistically valid survey?

Calculate sample size using the Cochran formula at 95% confidence to determine response targets. This provides a margin-of-error table and finite-population considerations, ensuring your survey distribution yields statistically grounded measurement results.

How can I optimize my survey response rate across distribution channels?

Optimize your survey response rate using field-ready distribution strategies that provide channel-specific playbooks, expected response-rate guidance, reminder cadence, and response-rate boost techniques tailored to your selected distribution channel.

How do I interpret Sean Ellis PMF fit survey results?

Interpret PMF fit survey results by applying scoring rubrics that include the Sean Ellis 40% threshold. This defines how to score and evaluate your product-market fit instrument alongside NPS, CSAT, and CES calculations for interpretation-ready outputs.

Can I create custom survey questions beyond standard NPS and CSAT formats?

Create custom survey question sets alongside standard NPS, CSAT, CES, and PMF-fit instruments. The design process accommodates custom survey types by generating ordered question batteries with specific Likert anchoring based on your unique research objective.