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.