

It’s that special time of year again: 36Pix analysed for their customers the performances of CloudKO users for the 2018-2019 school year.


Having the best employees comes from knowing how to spot the best candidates. For starters, there is a difference between people who say they know Photoshop and the ones who actually do.
To make sure our candidates’ green screen extraction skills are on point, we run small tests during our hiring process.
We provide our candidates with one image per tool we want to evaluate them on. For example, do they know how to use the Wand tool? Do they know what the difference is between black and white on a layer mask? Of course, the interface of CloudKO’s green screen software is a bit different from Photoshop. It’s fine if they don’t get it right away, as long as they can explain what their method is.
The advantage of such a hiring process lies in letting the applicant know what the job really is. The goal we want them to reach is fixing 120 masks per hour. It is a routine job that is not suited for everyone: it is better for them to opt out now than after we spent a week training them.
Once you have selected your new employees, the most efficient way to train them is in small groups of 3 or 4 people. We find it’s a better use of the supervisor and the trainees’ time. We then task them with editing jobs of varying levels of difficulty.
Watch out for high edit ratios: it means the technician is editing images that do not need to be and is wasting time. They should focus primarily on understanding the job and the quality required before worrying about the quantity of masks fixed.
Efficiency comes naturally with time. During our in-house trainings, we noticed that the learning curve was quick: the ratio of masks fixed per hour increased from 50 to 90 between week two and three. Just look for small improvements: as long as their rates get better everyday, everything should be fine.
Once the training is over, you can easily keep track of your employees’ efficiency with the users reports that can be found in CloudKO’s app.

What we keep an eye on is the Masks fixed/hour and the Edit ratio. We expect each technician to edit about 18% of the images they go through at a rate of 120 masks fixed/hr, which would be 960 masks and over 5,000 images per day.
36Pix is always there to help you analyze these reports and to give you a hand with your training.

Victor Ha
Spécialiste junior des systèmes
Victor s’est joint à 36Pix en janvier 2022 et a gravi les échelons, passant de technicien en préproduction à spécialiste système junior. Fort d’une formation en physique et en mathématiques à l’Université de Montréal, Victor se spécialise dans la gestion de volumes importants de données et la conception de tableaux de bord destinés à l’analyse des ventes, au suivi des indicateurs clés de performance (KPI), et bien plus encore. Son expertise garantit le bon déroulement des processus et fournit à l’équipe des informations fondées sur les données.
Alors que 36Pix continue de fournir des solutions innovantes à ses clients, Victor a joué un rôle précieux dans le développement de notre application web d’évaluation des photographes, EVA.

Victor Ha
Junior Systems Specialist
Victor joined 36Pix in January 2022 and has grown from Pre-Production Technician to Junior Systems Specialist. With a background in Physics and Mathematics at the Université de Montréal, Victor specializes in managing high volumes of data and designing dashboards for sales analytics, KPI tracking, and more. His expertise ensures smooth processes and data-driven insights for the team.
As 36Pix continues to provide innovative solutions to our customers, Victor has played a valuable role in the development of our photographer evaluation web application, EVA.