Customer Feedback Surveys for Food Delivery
Speed and accuracy decide whether customers reorder. surveys.expert helps food delivery brands measure satisfaction with food quality, timing, and couriers — and uses AI to separate restaurant issues from delivery issues.
Common challenges
- Hard to tell whether a bad order is the restaurant's or the courier's fault.
- Late and incorrect orders quietly kill reorder rates.
- Driver and packaging issues hide in free-text complaints.
- Promo-driven users churn after the first disappointing order.
Recommended survey types
Order feedback
Capture food quality and accuracy per order.
Delivery feedback
Measure timing, courier, and packaging.
CSAT
Track satisfaction right after delivery.
NPS
Benchmark loyalty and reorder intent.
Recommended templates for Food Delivery
Measure satisfaction across ordering, delivery, and food quality.
Measure satisfaction with shipping speed and delivery condition.
Measure customer satisfaction after an interaction or purchase.
Measure customer loyalty with a standard Net Promoter Score survey.
Understand satisfaction and churn risk for meal subscriptions.
Understand how well a customer complaint was handled and resolved.
Survey guides for Food Delivery
Question guides for Food Delivery
The best NPS survey questions with examples and follow-ups. Learn how to phrase the NPS question and what to ask next to get actionable feedback.
The best CSAT follow-up questions to ask after the satisfaction score. Turn a single rating into actionable insight with the right follow-ups.
Order satisfaction (CSAT)
Satisfaction per delivered order.
On-time delivery sentiment
Perceived timeliness of delivery.
Reorder rate
Share of customers who order again.
Net Promoter Score (NPS)
Loyalty and word-of-mouth.
- How satisfied are you with your recent order?
- Did your order arrive on time?
- How would you rate the condition the food arrived in?
- How likely are you to order from us again?
- Separate restaurant quality issues from delivery and courier issues.
- Detect packaging and temperature complaints automatically.
- Flag first-order disappointments that predict churn.