Food delivery customers are one bad experience away from switching to a competitor. Post-order feedback surveys help you track delivery quality, order accuracy and customer satisfaction in real time.
Track perceived delivery time vs. actual time to identify routes, couriers and peak times that underperform.
Identify restaurants or preparation steps causing incorrect orders — reduce refunds and reorders.
Rate individual couriers on professionalism, punctuality and communication — build accountability.
Survey on food temperature, packaging integrity and presentation on arrival — key quality signals.
Measure churn risk at scale — identify customers likely to switch before they do.
Compare satisfaction scores across restaurant partners to build a quality-based partner ranking.
For food delivery services, restaurant delivery platforms and cloud kitchens
Survey triggers automatically 30 minutes after delivery confirmation — optimal recall, minimal friction.
Each survey response is linked to a specific order, courier and restaurant for precise root-cause analysis.
Low NPS scores trigger immediate alerts — support team can reach out to at-risk customers proactively.
Aggregate satisfaction data by partner restaurant — identify quality outliers before they damage your brand.
Individual courier scores tracked over time — transparent performance data for fair reviews and bonuses.
Connect SurveyNinja to your order management system via API or Zapier for fully automated data flow.
«Post-order NPS surveys helped us identify our worst-performing restaurant partners. Gave them data-backed feedback — quality improved, complaints dropped 35%.»
Feedback fact
of food delivery customers stop using a service after just one bad experience with order accuracy or delivery time
Multiple channels — respondents choose the most convenient one and respond in 1–2 minutes
A food delivery platform implemented post-order surveys linked to restaurant and courier data. Identified top complaint sources and gave partners performance dashboards. Complaints dropped 35% in 4 months.
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