Textmetrics for Staffing Agencies.
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 3 top challenges for staffing agencies
When experienced recruiters leave the organization, their knowledge and best practices are not automatically transferred to the remaining team. This means that the creation of job postings is often left in the hands of newcomers who may have relatively little departmental knowledge to write the best job postings.
Lack of quality
Text quality is influenced by any number of seemingly small things. Together, these flaws can add up to a low-quality job posting. Special attention must be paid to spelling and grammatical errors, optimization for SEO/Google for Jobs, accessible language, and accurate and complete content. For example, a job posting should include required job skills and mention the right employee motivators.
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
Low quality of job texts
Low quantity of applicants
Insufficient quality of applicants
No diversity among applicants
We identified 3 reasons why job postings do not attract diverse candidates
It can also reflect badly on or misrepresents the image of the organization.
Due to low quality content your visibility and/or marketability are (too) low.
If you can’t reach your target audience with the right content, you will never meet your D&I goals.
What will you experience as a manager or writer when using Textmetrics?
Managers are supported by a comprehensive reporting and monitoring environment that provides continuous insight into the quality of existing job openings, employer branding texts, and all relevant communication.
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).