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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
Sample of data set required for Post-Service Survey Agent:
Customer Id | Customer Name | Location | Account Type | Service History |
---|---|---|---|---|
CUST001 | Anna Roberts | New York | Premium | Food Delivery: 5 orders; Streaming Subscription: 2 months |
CUST002 | Ben Turner | California | Basic | Ride-Sharing: 3 rides; Food Delivery: 1 order |
CUST003 | Clara Johnson | Texas | Enterprise | Online Tutoring: 10 sessions; Streaming Subscription: 6 months |
CUST004 | David Wilson | Florida | Standard | Food Delivery: 2 orders; Ride-Sharing: 2 rides |
CUST005 | Ella Brown | New York | Premium | Streaming Subscription: 1 year; Food Delivery: 3 orders |
CUST006 | Fred Clark | California | Enterprise | Online Tutoring: 5 sessions; Ride-Sharing: 2 rides |
CUST007 | Gina Lewis | Texas | Basic | Food Delivery: 1 order; Streaming Subscription: 1 month |
CUST008 | Henry Adams | Florida | Standard | Ride-Sharing: 2 rides; Food Delivery: 2 orders |
CUST009 | Isla Moore | New York | Premium | Streaming Subscription: 6 months; Ride-Sharing: 3 rides |
CUST010 | Jack White | California | Enterprise | Online Tutoring: 15 sessions; Streaming Subscription: 1 year |
Service Id | Customer Id | Service Type | Completion Date | Special Notes |
---|---|---|---|---|
SVC3001 | CUST001 | Food Delivery | 2024-01-15 | Delivery was on time; customer requested extra sauce |
SVC3002 | CUST002 | Ride-Sharing | 2024-01-17 | Minor delay due to traffic |
SVC3003 | CUST003 | Streaming Subscription | 2024-01-20 | Customer upgraded to HD plan |
SVC3004 | CUST004 | Food Delivery | 2024-01-22 | Delayed due to incorrect address |
SVC3005 | CUST005 | Streaming Subscription | 2024-01-25 | No issues reported |
SVC3006 | CUST006 | Online Tutoring | 2024-01-30 | Requested personalized session on advanced topics |
SVC3007 | CUST007 | Food Delivery | 2024-02-02 | Order completed; feedback on food quality expected |
SVC3008 | CUST008 | Ride-Sharing | 2024-02-05 | Driver assisted with luggage |
SVC3009 | CUST009 | Streaming Subscription | 2024-02-10 | Customer inquired about family plan options |
SVC3010 | CUST010 | Online Tutoring | 2024-02-15 | Customer requested follow-up resources |
Sample output delivered by the Post-Service Survey Agent:
Hey Anna! 🍕 How Did We Do?
Service Type: Food Delivery
Completion Date: January 15, 2024Hi 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! 🎉
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! 😅
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. 🙏
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! 😋
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. 😊
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 🍕💛
Resolves customer queries by first utilizing its knowledge base, and if needed, retrieves relevant information from integrated tools to provide accurate answers.
Automatically assigns tickets raised by customers to support agents based on priority, issue type, or workload distribution.
Monitors the email inbox for customer queries, retrieves answers from the knowledge base, sends replies, or creates tickets for unresolved queries.
Automatically sends customized post-service surveys based on the specific service received.
Sends customized follow-up messages to customers after service inquiries, tailored to the specific inquiry type.
Tracks and updates customers on the resolution status of their complaints, ensuring transparency and timely updates.