MTTR
<64%
FRT
10 min

Location
Austria
Languages
English
Channels
live chat
Tools
Automation tool
Services
Back-office
Customer support
Team size
15 agents
Technology SaaS Platform StreetCrowd

StreetCrowd is a technology platform that connects people with shared mobility and micro-mobility providers across Belgium, Germany, Hungary, and Canada. Users get paid to complete tasks for those providers – primarily relocating shared cars from low-demand to high-demand areas, but also charging electric vehicles, cleaning, and other service tasks, depending on the provider. Today, the platform's 52K+ member community has collectively saved 1,449 tonnes of CO2, proving that this service offers a practical way to earn while contributing to cleaner cities.
Who's Everhelp?
Everhelp is a Result-as-a-Service ecosystem for customer support outsourcing. We believe great support drives real outcomes, and we deliver just that. That’s why, instead of offering standardized service packages, we first align with each client on their desired targets and then assemble a system of processes, trained agents, and AI technology to reach them.
Since our founding in 2021, we've scaled from 5 employees to 1,000+ agents across 4 continents. We've worked with 125+ clients and received 8 industry awards, which include (but aren’t limited to):
- №13 rank on Clutch's Top 100 Fastest-Growing Companies list
- A Gold Stevie® Award as a Customer Service Outsourcing Provider of the Year
- A Silver Stevie® Award for the Best Use of Technology in Customer Service.
As we moved to a more complex human + AI support model, Evly, our proprietary AI customer service agent, has become a core part of our operation. Built on everything we've learned about delivering exceptional customer experiences and paired with our expert agents, it helps clients:
- Respond in under 45 seconds, 24/7, in 30+ languages (90+ with AI)
- Resolve up to 85% of routine requests through automation
- Achieve 83%+ CSAT and 76% first contact resolution
- Maintain a 96% service quality score on ISO 27001- and PCI DSS-certified, GDPR-compliant infrastructure.
Our mission is simple: to turn your support operations into a real growth driver for your business.
The Challenge: Struggling with Large Ticket Backlog & 70-Hour Resolutions
StreetCrowd reached out to EverHelp because their support team was stretched too thin and had experienced an unexpected ticket overflow. We stepped in to help solve the following issues
- The ticket backlog resulted in 1-hour first response times.
- Absence of a centralized knowledge base, which led to full resolution times of 70+ hours.
- Lack of uniform standards for handling requests.
- No communication channel between agents and the technical department, so related cases took much longer to close.
- No structured way for users to report their needs or flag recurring problems.
Our Solution: Equipping the Team with Structured Processes & 24/7 Capacity
In our approach, we decided to focus on providing agents with more resources and a better structure of support processes.
Support Team
- Built a shared team of 15 agents
- Established 24/7 support
- Launched continuous training programs to sharpen product knowledge & improve communication
Workflows & Processes
- Organized back-office support processes.
- Created a centralized knowledge base with answers to common questions
- Established a direct escalation channel between the support team and the technical department.
- Identified the most frequent user issues and implemented a systematic approach to resolve them.
- Integrated a tool to automatically merge similar tickets.
- Built out a detailed help section for users to find quick answers independently.
The Results
In over 30 years of entrepreneurship, I have rarely worked with a team this professional and responsive.
Rod Williams
Executive Co-Founder & CEO at MacWilco Entertainment
Looking Ahead
Since we have established a solid support foundation, we will further look into the opportunities to optimize the performance:
- Introduce Evly AI to handle the share of routine, repetitive requests
- Use the knowledge base and interaction data to identify where users are dropping off or getting confused in the task flow
- Build a product feedback channel to collect, tag, and report patterns of technical issues for further improvement.
FAQ
What problems was StreetCrowd experiencing with their customer support before EverHelp?
StreetCrowd's support team was overwhelmed by ticket volume, pushing first response times to 1 hour. There was no centralized knowledge base, causing full resolution times to exceed 70 hours. Agents also lacked uniform standards, struggled to communicate technical issues effectively, and had no structured system for collecting user feedback.
How did EverHelp rebuild StreetCrowd's support from the ground up?
EverHelp deployed a 24/7 shared team of 15 agents to handle incoming requests and back-office tasks. They created a centralized knowledge base, introduced uniform standards for handling requests, established a direct communication channel between the technical department and the support team, and launched continuous training programs to improve agent performance and brand awareness.
What measurable results did EverHelp deliver for StreetCrowd?
EverHelp reduced the first response time from 1 hour down to just 10 minutes and cut the mean time to resolution (MTTR) by 64%. The team successfully handled around 5,000 requests per month while providing round-the-clock 24/7 support coverage.
How did EverHelp address StreetCrowd's technical communication challenges?
EverHelp created a direct channel between StreetCrowd's technical department and the support team, enabling faster escalation and resolution of technical issues. This significantly improved the accuracy and speed of responses to users experiencing platform-related problems, leading to higher satisfaction scores.
What self-service improvements did EverHelp introduce for StreetCrowd's users?
EverHelp built a detailed help section to enable users to find answers independently, reducing the volume of inbound support requests. They also implemented an automation tool to merge similar tickets and lighten the overall support workload, allowing agents to focus on more complex issues.
How did EverHelp approach recurring issues within StreetCrowd's support operations?
EverHelp identified the most frequent user issues and implemented a systematic approach to resolve them proactively. This included building a centralized knowledge base with ready answers to common questions, which alone cut full case resolution times by 64%, and introducing continuous agent training to maintain consistent quality over time.






















