Star Rating Questions

Star rating questions provide a visual way for respondents to rate items using stars or other icons. They’re intuitive and quick to answer.

When to Use

Star rating questions are ideal for:

Quick satisfaction ratings - Overall experience
Product reviews - Quality, value, usability
Service ratings - Support, delivery, communication
Simple preference scales - How much do you like X?

Adding a Star Rating Question

Click Add Question in the survey editor
Select Star Rating
Enter your question text
Configure the scale
Add labels (optional)

Configuration Options

Scale Size

Set the number of stars:

3 stars - Simple good/neutral/bad
5 stars - Standard rating (most common)
7 stars - More granular feedback
10 stars - Detailed ratings

Icons

Choose your rating icon:

⭐ Stars (default)
❤️ Hearts
👍 Thumbs
😊 Smileys
Custom icons

Labels

Add context to your scale:

Endpoint labels:

Low end: “Poor”
High end: “Excellent”

Individual labels:

1 star: “Very Poor”
2 stars: “Poor”
3 stars: “Average”
4 stars: “Good”
5 stars: “Excellent”

Half Stars

Enable half-star selections for more precision:

4.5 stars possible
Doubles your scale points
Good for detailed feedback

Initial State

No selection (default):

All stars empty
Respondent must select

Pre-filled:

Start with middle value
Respondent can adjust

Required Response

Toggle to require a rating before continuing.

Best Practices

Scale Selection

Scale	Best For
3 stars	Quick binary-ish feedback
5 stars	General satisfaction, reviews
7 stars	When you need more granularity
10 stars	Detailed analysis, NPS-style

Label Guidelines

Clear and balanced:

Good: "Very Poor" to "Excellent"
Bad: "Bad" to "Perfect" (unbalanced)

Consistent: Use same labels throughout survey for similar questions.

Question Wording

Specific:

Good: "How would you rate the checkout process?"
Bad: "Rate this"

One concept per question:

Good: "Rate the food quality"
Bad: "Rate the food and service"

Advanced Features

Conditional Logic

Route based on rating:

Skip logic:

If rating ≤ 2, show “What went wrong?”
If rating ≥ 4, show “What did you like?”

Display logic:

Show follow-up only for low ratings
Show upsell for high ratings

Multiple Items

Rate several items with same scale:

Consider using Matrix/Rating Scale for:

Multiple products
Multiple attributes
Side-by-side comparison

Piping

Reference the rating in follow-up:

You gave us {{Q1}} stars.
What would it take to earn 5 stars?

Analyzing Results

Metrics

Average rating:

Mean score across responses
Compare over time
Benchmark against targets

Distribution:

Count per star level
Percentage breakdown
Identify patterns

Standard deviation:

Measure agreement
Low = consensus
High = mixed opinions

Charts

Best visualizations:

Bar chart showing distribution
Average with trend line
Histogram of ratings

Interpreting Results

5-star scale benchmarks:

4.5+ = Excellent
4.0-4.4 = Good
3.5-3.9 = Average
3.0-3.4 = Below average
Below 3.0 = Needs attention

Segmentation

Break down ratings by:

Customer type
Time period
Product/service
Demographics

Common Use Cases

Product Review

How would you rate this product?
☆☆☆☆☆
Poor          Excellent

Customer Satisfaction

How satisfied are you with your purchase?
☆☆☆☆☆
Very Dissatisfied    Very Satisfied

Service Rating

Rate your support experience:
☆☆☆☆☆

Content Feedback

How helpful was this article?
☆☆☆☆☆
Not Helpful    Very Helpful

Quick Polls

How's your day going?
😢 😕 😐 🙂 😄

Star Rating vs. Other Scales

vs. NPS

Star Rating	NPS
5-point scale	11-point scale (0-10)
General satisfaction	Loyalty/recommendation
Simple analysis	Promoter/Detractor segments

vs. Matrix

Star Rating	Matrix
Single item	Multiple items
Visual appeal	Compact for many items
Quick response	Comparative ratings

vs. Slider

Star Rating	Slider
Discrete values	Continuous scale
Familiar interface	Precise values
Clear meaning	Abstract numbers

Mobile Optimization

Touch-Friendly

Stars are easy to tap
Clear touch targets
Immediate visual feedback

Display

Scales adapt to screen width
Labels may stack on mobile
Consider fewer stars for small screens

Troubleshooting

Rating Inflation

Many respondents give high ratings:

Scale may be too small (try more stars)
Question may be too general
Add follow-up for specifics

Central Tendency

Most responses cluster in middle:

Remove middle option (even scale)
Make labels more distinct
Ask more specific questions

Low Engagement

Respondents skip or rush:

Question may seem unimportant
Add context for why rating matters
Keep survey short

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