Recruiting · Production

Tucows uses Textio augmented writing to make job postings more inclusive

The problem

Tucows' job postings used language that unintentionally narrowed their applicant pool by gender and age, causing them to miss out on a broader range of talent as they ramped up hiring.

Workflow diagram · grounded in source
1
Scale hiring, identify language gaps
trigger
“Over the last year, as we massively ramped up our hiring, we set out to streamline our writing and look for ways to represent our inclusive values better”
2
Augmented writing tool flags non-inclusive terms
ai_action
“Once we identified what wasn't working, through Textio's augmented writing tool, we slowly improved and revamped our writing style”
3
Revise job posts for broader appeal
output
“make every one of our job posts suitable to a broader audience”
4
Iterate and improve over six months
feedback_loop
“Within the first six months, we managed to improve our scores significantly through constant iteration and practice”
Reported outcome

Within the first six months Tucows significantly improved their inclusivity scores and improved their applicant pipeline, particularly for women and across age groups.

Reported metrics
Inclusivity improvement in first monthsignificant improvement
Inclusivity scores within six monthsimprove our scores significantly
Applicant pipelineimprove our applicant pipeline
Reported stack
Textio
Source
https://textio.com/blog/customer-spotlight-tucows-the-words-we-use-how-we-use-textio-to-make-our-job-postings-more-inclusive
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Within the first six months Tucows significantly improved their inclusivity scores and improved their applicant pipeline, particularly for women and across age groups.

What tools did this team use?

Textio.

What results were reported?

Inclusivity improvement in first month: significant improvement; Inclusivity scores within six months: improve our scores significantly; Applicant pipeline: improve our applicant pipeline (source-reported, not independently verified).

How is this recruiting AI workflow structured?

Scale hiring, identify language gaps → Augmented writing tool flags non-inclusive terms → Revise job posts for broader appeal → Iterate and improve over six months.

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