How Distributed Labs Got Visibility Across 40 People in 12 Time Zones
A fully remote product company had zero visibility into team availability and work hours. Timedox gave them lightweight accountability without surveillance.
The Company
Distributed Labs is a fully remote product development company with 40 team members across 12 time zones. They build and operate three SaaS products with teams spanning design, engineering, marketing, and customer success.
Head of Remote Operations Emily Zhang was responsible for the hardest challenge in remote work: ensuring accountability and visibility without creating a culture of surveillance or micromanagement.
"We had 40 people and zero visibility. Not into their screens. Into their availability."
Distributed Labs trusted their team, but clients and leadership needed basic data: who was online when, how many hours were logged per project, and whether teams had enough overlap time for collaboration.
Without time tracking, sprint planning was guesswork. Client reporting was vague. Team leads couldn't tell if their reports were working sustainable hours or quietly burning out.
"We tried honor-system time logging. Adoption was 30% on a good week. People forgot, or felt weird about it, or just didn't see the point. We needed something invisible."
30%
Adoption rate of previous honor-system logging
12
Time zones to coordinate with no visibility
0
Reliable hours data for sprint planning
Why they chose Timedox
Emily chose Timedox because Automatic In-Out felt like the opposite of surveillance. It doesn't track screens, keystrokes, or activity. It just detects presence and logs clock-in/out times.
"I told the team: this is not monitoring software. It doesn't see what you're doing. It just knows when your laptop is open and when it's closed. That framing was everything for buy-in."
The time zone dashboard gave Emily what she'd been missing: a single view showing every team member's local time, online status, and logged hours. Overlap windows became visible for the first time.
Time Zone Dashboard
Every team member's local time, status, and hours in one view.
Automatic In-Out
Presence-based, not activity-based. Knows when you're at your desk, not what you're doing.
Weekly Reports
Automated summaries per person, team, or project. Perfect for async standups.
What Distributed Labs sees every day
The same Timedox dashboard every customer uses. No custom build, just clear data.
Dashboard
Team Overview
Active now
18
+3 from yesterday
Total hours
142h
On break
2
Sites
4
Sarah Miller
Headquarters
James Chen
Downtown Office
Maria Lopez
Remote
David Kim
Field Site A
From signup to full adoption
Desktop App deployed to 40 team members
Emily sent a 3-sentence Slack message explaining the tool and a download link. No mandatory training. Automatic In-Out was enabled by default.
100% passive adoption achieved
Every team member's hours were captured automatically. No one had to change their workflow. Zero complaints. Emily's weekly stand-up post now included real data.
Overlap windows mapped
For the first time, Emily could see exactly when teams overlapped across time zones. She restructured two weekly meetings to better windows, increasing attendance by 60%.
Unsustainable hours identified
The data revealed three team members consistently working 50+ hours. Emily intervened, redistributed work, and prevented burnout before it happened.
Client reporting transformed
Distributed Labs started including Timedox time summaries in monthly client reports. Clients appreciated the transparency, and two expanded their contracts.
Inside Distributed Labs
The numbers after one year
100%
team adoption with zero mandatory training
12
time zones now visible in a single dashboard
60%
increase in cross-timezone meeting attendance
3
potential burnout cases identified and prevented
"We have 40 people across 12 time zones. Timedox is the only way we keep track without turning into Big Brother. It doesn't watch what people do. It just knows when they're working. That's exactly the line we needed."
Emily Zhang
Head of Remote Operations, Distributed Labs
Running a distributed team?
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