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beginnersurvey

User Feedback Survey

Comprehensive survey template for collecting user feedback with Likert scales and open-ended questions.

Try it live — no install

Boot the real Potato server in your browser (WebAssembly) and annotate with this exact config. Nothing leaves your machine.

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Get This Design

This design is available in our showcase. Copy the configuration below to get started.

Quick start:

bash
# Create your project folder
mkdir survey-feedback
cd survey-feedback
# Save config.yaml from this page into this folder
potato start config.yaml
User Feedback Survey annotation interface preview

Configuration File

yaml
annotation_task_name: "User Feedback Survey"
task_dir: "."

port: 8000

# Data configuration
data_files:
  - "data/survey_context.json"

item_properties:
  id_key: id
  text_key: text
instance_display:
  fields:
    - key: text
      type: text
      label: "About this survey"

# Annotation schemes (survey questions)
annotation_schemes:
  # Overall satisfaction
  - annotation_type: likert
    name: overall_satisfaction
    description: "How satisfied are you overall with the product?"
    size: 5
    min_label: "Very Dissatisfied"
    max_label: "Very Satisfied"
    sequential_key_binding: true

  # Ease of use
  - annotation_type: likert
    name: ease_of_use
    description: "How easy was the product to use?"
    size: 5
    min_label: "Very Difficult"
    max_label: "Very Easy"
    sequential_key_binding: true

  # Feature completeness
  - annotation_type: likert
    name: feature_completeness
    description: "How well does the product meet your needs?"
    size: 5
    min_label: "Not at All"
    max_label: "Completely"
    sequential_key_binding: true

  # Recommendation likelihood (NPS-style)
  - annotation_type: likert
    name: recommend_likelihood
    description: "How likely are you to recommend this product to others?"
    size: 10
    min_label: "Not Likely"
    max_label: "Very Likely"

  # Most valuable features
  - annotation_type: multiselect
    name: valuable_features
    description: "Which features do you find most valuable? (Select up to 3)"
    labels:
      - Easy configuration
      - Multiple annotation types
      - Quality control features
      - Crowdsourcing integration
      - AI-powered assistance
      - Audio/Image support
      - Export options
      - Admin dashboard

  # Improvement areas
  - annotation_type: multiselect
    name: improvement_areas
    description: "Which areas need the most improvement?"
    labels:
      - Documentation
      - User interface
      - Performance
      - Feature set
      - Reliability
      - Support
      - Pricing
      - None - it's great!

  # Usage frequency
  - annotation_type: radio
    name: usage_frequency
    description: "How often do you use this product?"
    labels:
      - Daily
      - Several times a week
      - Weekly
      - Monthly
      - Rarely
      - This is my first time

  # Primary use case
  - annotation_type: radio
    name: primary_use_case
    description: "What is your primary use case?"
    labels:
      - Academic research
      - Industry/Commercial
      - Personal projects
      - Education/Teaching
      - Other

  # What do you like most?
  - annotation_type: text
    name: likes
    description: "What do you like most about the product?"
    multiline: true
    required: false
    placeholder: "Tell us what's working well..."

  # What could be improved?
  - annotation_type: text
    name: improvements
    description: "What could be improved?"
    multiline: true
    required: false
    placeholder: "Share your suggestions..."

  # Any other feedback
  - annotation_type: text
    name: additional_feedback
    description: "Any other feedback or comments?"
    multiline: true
    required: false
    placeholder: "Anything else you'd like to share..."

# User settings
require_password: false

# Output
output_annotation_dir: "annotation_output/"
export_annotation_format: "jsonl"

Sample Data

json
[
  {
    "id": "survey_feedback_1",
    "text": "End-of-session feedback following a two-hour annotation batch"
  },
  {
    "id": "survey_feedback_2",
    "text": "End-of-session feedback following a short pilot task"
  }
]

// ... and 3 more items

Details

Annotation Types

likertradiomultiselecttext

Domain

Survey

Use Cases

user researchfeedback collectionsatisfaction measurement

Tags

surveyfeedbacklikertuser research

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