How I Turned a 3-Hour Daily Bottleneck into a 30-Minute Breeze — and Helped Others Do the Same

Not long after I started working at Wix as a Senior Localization Writer, I faced my first big challenge: a massive content backlog that had been sitting there, waiting for someone to handle it.

That someone was me.

It was clear that one person alone couldn’t tackle it—and luckily, management was supportive. I was given a team of talented freelance writers, plus two amazing customer service reps who joined part-time to help.

Overnight, my solo effort became a growing localization team.

And with that came a new challenge: scaling our process.

While I was used to going string by string, now I was managing onboarding, maintaining a growing glossary, assigning tasks, reviewing work—and spending three hours a day just handling logistics.

We used a combination of Google Sheets, a localization platform, and a reporting system. The process looked like this:

- Download reports from the reporting tool

- Manually adjust the files

- Copy-paste into Google Sheets

- Assign each batch by hand

- Track deadlines, word counts, review status - manually

- And hope I didn’t miss anything in the chaos of hundreds of rows

It didn’t take long before that spreadsheet became overwhelming.

I knew we needed a smarter way—something visual, trackable, automated.

 So I turned to a tool I had worked with before: monday.com

I dedicated a full day to building a workflow system from scratch: boards, automations, statuses, tags, ownership rules. Freelancers could see only their tasks, update progress, raise queries, and flag delays. I’d be notified only 

when something needed my attention.

✅ No more copy-pasting

✅ No more checking 12 tabs

✅ No more chaos

Just a clean, automated system that cut my daily logistics time by 83%—from 3 hours to under 30 minutes.

The best part? After seeing it in action, my teammates asked for help setting up similar systems. A few weeks later, each had customized boards tailored to their own teams and workflows.

What started as a fix for one backlog became a ripple effect of smarter collaboration across teams.