Contextual Surveys for Smarter Service

Contextual Surveys for Smarter Service

The Problem

The Problem

City Council Contact Center

City Council Contact Center

Responsible for managing and improving citizen service experiences across multiple departments.

The Solution

The Solution

Automated After-Call Surveys for Service Feedback

Automated After-Call Surveys for Service Feedback

Closing the loop on contact center interactions with smart, contextual citizen feedback collection.

Users

Users

Contact Center Managers

Monitor satisfaction, identify pain points, and ensure service quality

Citizens

Provide quick, relevant feedback after case resolution

Technology Stack

Technology Stack

Flowmaze

Low-code workflow orchestration

Microsoft Dynamics 365

CRM & case tracking with survey result integration

The Customer

The Customer

City Council Contact Center

City Council Contact Center

Responsible for managing and improving citizen service experiences across multiple departments.

The Problem

The Problem

Resident feedback collected through surveys was underutilized due to slow follow-up. Managers reported that the slow turnaround from insight to implementation made it difficult to resolve issues promptly, weakening the connection between customer insights and service outcomes and slowing progress on improving service quality.

Resident feedback collected through surveys was underutilized due to slow follow-up. Managers reported that the slow turnaround from insight to implementation made it difficult to resolve issues promptly, weakening the connection between customer insights and service outcomes and slowing progress on improving service quality.

Challenges

Challenges

One of the main challenges in addressing slow action on survey results was the scoring process itself. Survey responses were often unstructured or inconsistent, making it difficult for managers to quickly interpret the data and identify clear priorities. Without a reliable way to score and categorize feedback, turning insights into timely improvements remained a persistent obstacle.

One of the main challenges in addressing slow action on survey results was the scoring process itself. Survey responses were often unstructured or inconsistent, making it difficult for managers to quickly interpret the data and identify clear priorities. Without a reliable way to score and categorize feedback, turning insights into timely improvements remained a persistent obstacle.

What We Delivered

What We Delivered

Contextual After-Call Surveys

Tailored to the specific service delivered

Contextual After-Call Surveys

Tailored to the specific service delivered

Auto-Scoring Engine

To quantify satisfaction and escalate issues

Auto-Scoring Engine

To quantify satisfaction and escalate issues

Seamless CRM Integration

Survey responses attached directly to related cases

Seamless CRM Integration

Survey responses attached directly to related cases

Real-Time Feedback Loop

For quality assurance and service optimization

Real-Time Feedback Loop

For quality assurance and service optimization

Results & Impact

Results & Impact

Improved visibility into citizen satisfaction trends

Improved visibility into citizen satisfaction trends

Faster detection of service delivery gaps and agent performance issues

Faster detection of service delivery gaps and agent performance issues

Higher survey response rates through concise, case-aware questions

Higher survey response rates through concise, case-aware questions

Data-driven management decisions based on real insights, not assumptions

Data-driven management decisions based on real insights, not assumptions

Want to see how you can transform your organization?

Want to see how you can transform your organization?

or explore real-world use cases on our website

or explore real-world use cases on our website

AI for CRM

info@walkmaze.com

© 2025 Walkmaze. All Rights Reserved.

AI for CRM

© 2025 Walkmaze. All Rights Reserved.