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CASE STUDY · Information Technology & SaaS

24/7 IT Support Coverage With 71% Lower Operating Cost

Facing growing international customer pain, a single-timezone support team, and a first-response time of 4.2 hours, the firm built an 8-person remote IT support pod that now delivers true 24/7 coverage inside Jira + Zendesk with a 45-minute first-response SLA.

82%
Faster first-response time
71%
Lower support operating cost
24/7
Coverage across all timezones

Available Candidates

Pre-vetted professionals ready to start

Client Snapshot

At a glance.

Industry
Information Technology & SaaS
Company Size
$42M ARR, 180 employees, 14K end customers
Geography
North America & EMEA
Stack
Jira Service Management, Zendesk, Intune, Okta, Freshdesk, Zoom
The Challenge

What wasn't working.

As the firm's customer base expanded internationally, their single-timezone support team was increasingly the weakest link in retention. Enterprise customers in EMEA were waking up to unresolved tickets, and the on-call rotation was burning out tier-2 engineers.

1

First response was measured in hours, not minutes

With an 8-person support team covering 9 AM–6 PM ET, first-response time averaged 4.2 hours globally — over 9 hours for APAC customers. CSAT dropped 12 points year-on-year, and churn analysis tied 34% of lost ARR directly to support experience, not product feature gaps.

2

On-call rotation was causing tier-2 attrition

Tier-2 engineers were rotating through nights and weekends to cover P1 tickets, triggering 37% annual attrition at the level most expensive to replace. Severity escalations were routinely delayed by the time-to-wake, and resolution quality suffered accordingly.

3

Local hiring couldn't cover the clock

A mid-level US IT support specialist cost $68K–$85K fully loaded with a 6–8 week hiring cycle. To provide genuine 24/7 coverage with SLA-grade staffing levels the firm needed 6–8 additional hires — roughly $510K annual payroll before benefits — structurally unworkable given gross margin targets.

Our EMEA customers were raising P1 tickets at 3 AM our time and getting a response at noon the next day. We were losing enterprise accounts to support coverage, not to our competitors' product.
VP Customer Success
US B2B SaaS Company (name withheld — NDA), US B2B SaaS Company (name withheld — NDA)
★★★★★
The Solution

A pre-vetted Zedtreeo pod.

Zedtreeo deployed an 8-person remote IT support pod within 11 business days. The pod was structured as a true 24/7 operation — three timezone shifts with tier-1 triage, tier-2 escalation, and a dedicated SRE-adjacent specialist — all operating inside Jira Service Management and Zendesk with the client's existing runbooks.

Team Composition Deployed

A round-the-clock support pod sized to deliver a 45-minute first-response SLA globally while holding the P1 escalation bench 24/7.

Tier-1 Support Engineer
Ticket triage, account and access issues, product how-to, knowledge base maintenance, first-response SLA ownership.
Tier-2 Technical Escalation Engineer
API troubleshooting, integration debugging, log analysis, workaround authoring, engineering hand-off preparation.
IT Operations & Endpoint Specialist
Intune device management, Okta provisioning, SaaS admin, M365/Google Workspace operations, offboarding security.
QA & Knowledge Base Lead
Ticket quality audits, macro maintenance, KB article authoring, customer feedback loop ownership, CSAT tracking.

Tools & AI Stack Deployed

The pod operates in the firm's existing stack — Jira Service Management, Zendesk, Intune, Okta, Freshdesk, Zoom —, signed NDAs, role-based access, and customer-facing training completed from day one. Delivery runs through the firm's existing SLA, escalation, and on-call workflow.

Execution Timeline

How it rolled out.

1
Week 1

Week 1 — Kickoff & Access

Requirements call, NDA, Jira/Zendesk provisioning. Shortlisted pod interviewed by VP Customer Success in 48 hours.

2
Week 2–4

Weeks 2–4 — Onboarding

5-day free trial against live ticket queue. Runbook coverage, product training, macro library import, timezone rota configured.

3
Month 2–3

Month 2 — 24/7 Coverage

Full ownership of tier-1 + tier-2 support across all timezones. First-response time drops to 90 minutes. Tier-2 on-call rotation dismantled.

4
Month 4–6

Months 3–6 — SLA Domination

First-response time compressed to 45 minutes globally. CSAT +18 points. 71% cost reduction booked. Pod expanded by 1 SRE for escalations.

The Results

What changed.

Within one quarter, support moved from the firm's #1 churn driver to a retention lever. CSAT cleared its highest mark in four years, tier-2 attrition halted, and EMEA expansion stopped being bottlenecked by coverage gaps.

Performance Before → After

Measured improvements across 90 days post-onboarding of the engagement.

First-response time+82% faster
Before: Before: 4.2 hoursAfter: After: 45 minutes
CSAT score++18 pts
Before: Before: 72%After: After: 90%
Tier-2 attrition+84% reduced
Before: Before: 37%After: After: 6%
Support operating cost (annual)−71%
Before: Before: $640KAfter: After: $184K
ROI

Zedtreeo vs in-house hire.

71%
Cost Saved

12-Month Cost Breakdown

Line ItemIn-House (US)Zedtreeo
Salary + Benefits$580,000$184,000
Recruitment$34,000Included
HR & Compliance$24,000Included
Tools$22,000Included
Total Annual$660,000$184,000
Client Testimonial

In their own words.

The Zedtreeo pod runs our support queue the way our best tier-1 engineers used to — same macros, same tone, same escalation discipline — but across every timezone with a 45-minute SLA. We stopped losing enterprise accounts to coverage gaps, and our internal tier-2 team stopped quitting. 71% cheaper is the last thing we talk about; what changed is customer experience.
VP Customer Success
US B2B SaaS Company (name withheld — NDA), US B2B SaaS Company (name withheld — NDA)
★★★★★
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