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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)
★★★★★
⌬ IF IT DOESN’T WORK OUT

No dead weeks.

The real cost of a hire that does not work out is not the fee — it is the weeks of ramp, context and half-finished work that go with them. Most guarantees refund the money and hand you a new stranger. Three things happen here instead.

01

A free replacement, with no expiry

Month one or month thirty — if a specialist stops being right for the seat, we replace them at no cost. There is no 30-day or 90-day cutoff and no cap on how many times you can ask.

02

A fresh 5-day trial, every time

The replacement is not a stranger you are stuck with. You get five working days of real output to evaluate them, free — exactly the same trial you had on the first placement, on every replacement.

03

Five free days of handover

The outgoing specialist spends five days handing over to the incoming one, at no charge. Open items get documented and context transfers with the work, so you lose days rather than weeks.

This has been standing practice since we started — it is written down here because it was never written down anywhere. Read the full replacement policy

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