Post-Service Survey Agent

Automatically sends customized post-service surveys based on the specific service received.

About the Agent

The Post-Service Survey Agent is designed to streamline the process of gathering customer feedback after service interactions. By leveraging generative AI, the agent creates and dispatches personalized surveys tailored to the specific service provided and the individual customer’s profile. This customization ensures that the questions are relevant to the customer’s experience, whether it’s based on their service history, location, or other attributes. The result is a higher likelihood of customers engaging with the survey, providing valuable insights that can be used to assess service quality, timeliness, and overall satisfaction. This targeted approach not only improves response rates but also ensures that the feedback collected is meaningful and actionable.


Once the surveys are completed, the agent analyzes the responses to identify patterns and trends in customer feedback. This analysis helps organizations pinpoint areas where service delivery can be improved, such as reducing wait times, enhancing communication, or addressing specific customer concerns. By focusing on these insights, businesses can make informed decisions to refine their service strategies and better align with customer expectations. The agent’s ability to generate detailed reports based on survey data allows teams to quickly understand customer sentiment and take proactive steps to address any issues, fostering a culture of continuous improvement.

A key feature of the Post-Service Survey Agent is its integration with existing enterprise systems, ensuring seamless operation within the customer service workflow. The agent’s human feedback loop allows users to provide input in natural language, which the AI uses to refine its functionality over time. This iterative process ensures that the agent remains aligned with the organization’s evolving needs and customer expectations. By automating the survey process and delivering tailored insights, the agent reduces manual effort, minimizes errors, and enhances the overall efficiency of customer service operations. This enables organizations to maintain a high standard of service while staying responsive to customer needs.

Accuracy
TBD

Speed
TBD

Input Data Set

Sample of data set required for Post-Service Survey Agent:

Customer IdCustomer NameLocationAccount TypeService History
CUST001Anna RobertsNew YorkPremiumFood Delivery: 5 orders; Streaming Subscription: 2 months
CUST002Ben TurnerCaliforniaBasicRide-Sharing: 3 rides; Food Delivery: 1 order
CUST003Clara JohnsonTexasEnterpriseOnline Tutoring: 10 sessions; Streaming Subscription: 6 months
CUST004David WilsonFloridaStandardFood Delivery: 2 orders; Ride-Sharing: 2 rides
CUST005Ella BrownNew YorkPremiumStreaming Subscription: 1 year; Food Delivery: 3 orders
CUST006Fred ClarkCaliforniaEnterpriseOnline Tutoring: 5 sessions; Ride-Sharing: 2 rides
CUST007Gina LewisTexasBasicFood Delivery: 1 order; Streaming Subscription: 1 month
CUST008Henry AdamsFloridaStandardRide-Sharing: 2 rides; Food Delivery: 2 orders
CUST009Isla MooreNew YorkPremiumStreaming Subscription: 6 months; Ride-Sharing: 3 rides
CUST010Jack WhiteCaliforniaEnterpriseOnline Tutoring: 15 sessions; Streaming Subscription: 1 year
Service IdCustomer IdService TypeCompletion DateSpecial Notes
SVC3001CUST001Food Delivery2024-01-15Delivery was on time; customer requested extra sauce
SVC3002CUST002Ride-Sharing2024-01-17Minor delay due to traffic
SVC3003CUST003Streaming Subscription2024-01-20Customer upgraded to HD plan
SVC3004CUST004Food Delivery2024-01-22Delayed due to incorrect address
SVC3005CUST005Streaming Subscription2024-01-25No issues reported
SVC3006CUST006Online Tutoring2024-01-30Requested personalized session on advanced topics
SVC3007CUST007Food Delivery2024-02-02Order completed; feedback on food quality expected
SVC3008CUST008Ride-Sharing2024-02-05Driver assisted with luggage
SVC3009CUST009Streaming Subscription2024-02-10Customer inquired about family plan options
SVC3010CUST010Online Tutoring2024-02-15Customer requested follow-up resources

Deliverable Example

Sample output delivered by the Post-Service Survey Agent:

Hey Anna! 🍕 How Did We Do?

Service Type: Food Delivery
Completion Date: January 15, 2024

Hi Anna! We hope your recent order was delicious and delightful. As a Premium member in the Big Apple, your feedback is golden to us! We’d love to hear about your experience—it helps us keep bringing the best to your doorstep (with extra sauce on the side!). 🥫


Quick and Fun Feedback! 🎉

  1. How did the food taste?
    Did it make you do a little happy dance? 💃🕺

    • [ ] Loved it! Best meal ever! 😍
    • [ ] It was great, but I’d tweak a thing or two. 😊
    • [ ] It could have been better. Let’s chat next time! 😅
  2. Delivery Vibes 🚗💨
    Was your delivery on time, and did our driver make you feel like royalty?

    • [ ] Perfectly on time! Made my day! 👑
    • [ ] It was fine, but there’s room for improvement. 🕰️
    • [ ] A bit late; maybe next time we can avoid delays. 🙏
  3. Extra Sauce - Just Right? 😋
    You asked for extra sauce—great choice! How’d we do?

    • [ ] Just right! You nailed it! 👌
    • [ ] A little too much, but still tasty! 🍲
    • [ ] Needed more! Let’s double it next time! 😋
  4. Would You Recommend Us to a Friend?
    If you had a friend who loves great food, would you tell them about us?

    • [ ] Absolutely! 🥳
    • [ ] Maybe, depends on the order! 😄
    • [ ] Not sure yet—I’ll give it another try. 😊
  5. Anything Fun You’d Like to Add?
    We’d love to hear any extra thoughts, a fun story, or even a joke! (Totally optional but always appreciated.)

    Feel free to type below if something comes to mind:

    [Your thoughts here]


A Little Thank-You! 🎁

As a thank you for being so wonderful, we’ll add a special “Anna’s Favorite” discount to your next order. You’re the reason we love what we do, and we can’t wait to serve you again!

With extra toppings,
Your Food Delivery Team 🍕💛

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