Customer Survey Design

Design surveys that produce answers you can act on, not vanity data. The discipline is starting from the decision the survey must inform and writing questions that don't lead the respondent — most surveys fail by asking biased questions that confirm what the author hoped.

The second, quieter failure mode is fielding a survey that can't answer its own question: 60 responses split across five segments, then decisions made on ±13-point noise. This skill computes what a readable survey actually requires before anything is sent — and refuses to bless segment cuts the sample can't support.

When to use

The user is about to field a survey and needs the questions, structure, and sample plan to be right before it goes out.

Before you start

1. Name the decision. What will you do differently based on the results? If a question doesn't inform a decision, cut it.
2. Identify the respondents and how you'll reach them (existing customers, churned users, prospects, market panel) — this shapes wording and length. Get the reachable audience size and a realistic response rate if known.
3. List the cuts you'll report. If the readout says "by segment," the sample must be sized for the smallest cell, not the total.
4. Pick the survey type to match: PMF ("how would you feel if you could no longer use this?"), NPS + why, onboarding/CSAT, churn reason, or discovery.

Method