The Future of Software Test Engineers and Codeless Tools

A few months ago I was chatting with Evgeny Kim about some of the reservations I had while exploring a new codeless test automation tool. He was also exploring some codeless tool options and so he invited me onto his podcast to talk about it. We chatted about a wide range of things such as challenges faced by software test engineers, the role of codeless tools and hiring problems.

It was a fun podcast with some interesting topics so I had the video translated. Watch the video or read the transcript whichever you prefer. (Sorry in advance for any mistakes.)


EVGENY KIM: All right, guys. Thank you for joining for today’s podcast session. We have a guest, Chris Kenst. He’s a QA Engineering Manager at a company, Promenade Group. Also, he’s a president of Association for Software Testing. And we’re going to talk today about the future of software test engineers. Thank you, Chris. Hi.

CHRIS KENST: Hey, thanks for having me.


Hiring a Software Tester, an Analysis

In May of 2020, back when Promenade Group was still called BloomNation, I opened a job posting for a Software Test Engineer. This was to be the first of many test positions we eventually hire for. After going through the whole process of hiring a software tester, I thought it would be useful to analyze the applicant data with the idea of learning something about how I hire and about the applicants who applied.

About the data

Some of this data was collected through our recruiting system and some was manually entered in by me. I spent a good deal of time crunching through raw data in Excel, then coming up with new questions and going back to find more data. Some of the data wasn’t captured at all and so I made guesses / assumptions. Specifically I did this for the applicants location and gender. I don’t hire based on gender, but I was curious to see how this might have effected the final outcome. Despite having 142 submissions, I ended up pulling data on only 107 resumes.