Textmetrics for Diversity & Inclusion.
Textmetrics is a data-driven language analysis platform that helps to write effective and accurate content (like job postings), and helps (recruitment) managers steer the impact of the postings with real data.
We identified the top 3 reasons why companies don’t achieve their diversity and inclusion goals
More than gender decoding
Most companies tend to focus on avoiding a gender bias in their communications. That is great, but how do you include people who have a lower reading proficiency? People from different nationalities, different cultures, and different age groups? Or people who have disabilities or are colorblind? An inclusive organization has a culture of belonging for everyone.
Diversity and inclusion needs a corporate-wide approach. These principles need to be implemented in all steps of the hiring process, but also in corporate communication, reward systems and internal communication. And the real change will only start when you are actually able to attract diverse people.
Limited Target Group
If you want to attract many suitable candidates, you should try to reach a target group that is as large and diverse as possible. At the same time, you want all your text to be in line with your organization’s branding, so you always convey the right message.
What Textmetrics Solves
Reducing the risk of gender and age discrimination
Low quality of (job) texts
Insufficient quality of applicants
No diversity among applicants
Text quality no longer reflects badly on the image of the organization
We identified 3 reasons why job postings do not attract diverse candidates
Diversity & Inclusion
What will you experience as a manager or writer when using Textmetrics?
The manager can perform analyses across job openings to see how they can be better written. For example, it pulls what competitors use in their job postings, which job titles perform better than others, and what content leads to the best candidates.
Textmetrics also analyzes whether the text contains excluding, redundant, incorrect, or unnecessary elements and indicates exactly what can be adjusted to resolve those issues (e.g. gender-neutral language, overly long sentences, redundant or incorrect words, difficult language).