Survey Design
Quantitative signal at scale.
What It Is
Structured questionnaires deployed to a large sample to measure attitudes, preferences, or behaviors quantitatively. The appeal is scale — you can hear from hundreds or thousands of people in the time it takes to interview five.
Why Design Matters
A badly written survey produces data that looks real but isn't. Leading questions, response bias, survey fatigue, ambiguous wording — all of these corrupt the signal while giving you numbers that feel authoritative. The design is the research.
How It Works
Start from your research questions, not from "what should we ask." Choose question types that match what you're measuring — Likert scales for attitudes, MaxDiff for priorities, conjoint for tradeoff decisions. Keep it short. Pilot test with real people. Clean the data before analysis.
What It Produces
Statistical data about user populations. Segmentation insights. Prioritized preference rankings. Benchmarks you can track over time. The kind of evidence that complements qualitative findings with "how much" and "how many."