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Create a Customer Survey

Learn how to create comprehensive customer surveys to gather insights about satisfaction, preferences, and feedback.

Customer surveys help you understand your audience better. GenZform makes it easy to create professional surveys that people actually complete.

Survey Types

TypePurposeTypical Length
Satisfaction (CSAT)Measure happiness3-5 questions
NPS SurveyMeasure loyalty2-3 questions
Market ResearchUnderstand market10-15 questions
Product FeedbackImprove product5-10 questions
Employee PulseTeam sentiment5-8 questions

Create Your Survey

Define your goal

What do you want to learn? Customer satisfaction, product feedback, or market research?

Describe to AI

Tell the AI your survey goal:

"Create a customer satisfaction survey with rating scales, open feedback, and demographic questions."

Add question types

Mix different question formats:

  • Rating scales for quantitative data
  • Open text for qualitative insights
  • Multiple choice for categorization

Review flow

Make sure questions flow logically and use conditional logic to skip irrelevant questions.

Example: Customer Satisfaction Survey

Create a customer satisfaction survey with:

1. Overall satisfaction (5-star rating)
2. How likely to recommend us? (0-10 scale)
3. What do you like most about our product? (multi-select)
4. What could we improve? (open text)
5. How long have you been a customer? (dropdown)
6. Any other feedback? (optional text)

Use friendly language and thank them for their time.

Survey Best Practices

  • Keep it short - Respect respondents' time
  • Start easy - Begin with simple questions
  • Progress logically - Group related questions
  • Use conditional logic - Skip irrelevant questions
  • End positively - Thank respondents warmly
  • Mobile-friendly - Many will complete on phones

Frequently Asked Questions

What's a good survey completion rate?

10-30% is typical for email surveys. Shorter surveys and clear value propositions improve rates.

Should surveys be anonymous?

Anonymous surveys often get more honest responses, but identified responses allow follow-up.

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