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Feature Request Survey

Help us understand what features you would like to see in [product/service].

Survey Questions

1.

What new features or functionalities would you like to see in our [product/service]?

Type: text (Required)

2.

How important is adding [specific feature] to our [product/service] for your needs?

Type: radio (Required)

Extremely important
Important
Neutral
Not important at all
3.

How well does our current [product/service] meet your needs?

Type: radio (Required)

Extremely well
Well
Neutral
Not well at all
4.

What existing feature do you think needs the most improvement in our [product/service]?

Type: text (Required)

5.

How likely are you to use [specific feature] if it’s added to our [product/service]?

Type: radio (Required)

Very likely
Likely
Neutral
Unlikely
Not likely at all
6.

Which of the following potential features would you prioritize for our [product/service]?

Type: text (Required)

7.

How much would you be willing to pay for [specific feature] if added?

Type: text (Required)

8.

What problems do you currently face that could be solved by adding new features to our [product/service]?

Type: text (Required)

9.

How would you describe the ideal improvement for our [product/service]?

Type: text (Required)

10.

How frequently do you think you would use [specific feature] if added?

Type: radio (Required)

Daily
Weekly
Monthly
Rarely
Never

How to Use This Template

  • Collecting user input for product roadmaps.
  • Identifying gaps in current offerings.
  • Prioritizing features based on customer demand.

Frequently Asked Questions

Why conduct a Feature Request Survey?

It helps businesses understand what new functionalities users want, guiding product development decisions.

Who should complete a Feature Request Survey?

Existing customers, power users, and beta testers provide the most useful input.

How should businesses prioritize feature requests?

By analyzing demand frequency, feasibility, and alignment with long-term strategy.

What question formats are useful in this survey?

Open-ended suggestions, ranking features by priority, and multiple-choice preference selections are commonly used.